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# Information Extraction Resources
This repository provides resources for information extraction, including benchmark datasets, papers, tutorials, PhD theses, and framework tools.
##Tutorials about Information Extraction
1. **Overviews from TAC-KBP**
[[website](https://tac.nist.gov/publications/index.html)]
1. **
## Survey papers about Information Extracion
(ordered by year)
1. **A Survey of Deep Learning Methods for Relation Extraction**
[[paper](https://arxiv.org/pdf/1705.03645.pdf)]
*Shantanu Kumar,* arXiv-2017.
1. **Relation Extraction: A Survey**
[[paper](https://arxiv.org/pdf/1712.05191.pdf)]
*Sachin Pawar | Girish K. Palshikar | Pushpak Bhattacharyya,* arXiv-2017.
1. **
## Frameworks or Tools for Information Extraction
1. **Jet: Java Extraction Tookit**
[[website](https://cs.nyu.edu/grishman/jet/jet.html)]
1. **OpenNRE: Open-Source Package for Neural Relation Extraction**
[[website](https://github.com/thunlp/OpenNRE)]
1. **Standford Named Entity Recognizer**
[[website](https://nlp.stanford.edu/software/relationExtractor.html)]
1. **Stanford Relation Extractor**
[[website](https://nlp.stanford.edu/software/relationExtractor.html)]
1. **Distantly Supervised Relation Extraction**
[[website](https://github.com/INK-USC/DS-RelationExtraction)]
1. **InfoExtractor: Information Extraction Baseline System**
[[website](https://github.com/baidu/information-extraction)]
1. **Information Extraction Systems from Blender Lab**
[[website](https://blender.cs.illinois.edu/software/)]
## Datasets for Information Extraction
1. **Datasets for Entity Recognition**
[[website](https://github.com/juand-r/entity-recognition-datasets)]
1. **15 Free Datasets and Corpora for Named Entity Recognition (NER)**
[[website](https://lionbridge.ai/datasets/15-free-datasets-and-corpora-for-named-entity-recognition-ner/)]
1. **Datasets of Annotated Semantic Relationships**
[[website](https://github.com/davidsbatista/Annotated-Semantic-Relationships-Datasets)]
1. **Open Information Extraction (OIE) Resources**
[[website](https://github.com/gkiril/oie-resources)]
## PhD theses about Information Extraction
(ordered by year)
1. **Deep Learning for Information Extraction**
[[thesis](https://pqdtopen.proquest.com/doc/2025917601.html?FMT=AI)]
**Thien Huu Nguyen**, advisor: Ralph Grishman, New York University, 2018.
1. **Unsupervised Graph-Based Relation Extraction and Validation for Knowledge Base Population**
[[thesis](https://blender.cs.illinois.edu/paper/dian_thesis.pdf)]
**Dian Yu**, advisor: Heng ji, Rensselaer Polytechnic Institute, 2017.
1. **Jointly Learning Representations for Low-Resource Information Extraction**
[[thesis](https://jscholarship.library.jhu.edu/handle/1774.2/58685)]
**Nanyun Peng**, advisor: Mark Dredze, Johns Hopkins University, 2017.
1. **Information extraction with neural networks**
[[thesis](http://dspace.mit.edu/bitstream/handle/1721.1/111905/1005139501-MIT.pdf;jsessionid=22BD3083A29063F02A3BF5F791F72AF5?sequence=1)]
**Ji Young Lee**, advisor: Peter Szolovits, Massachusetts Institute of Technology,2017.
1. **Large-Scale Semantic Relationship Extraction for Information Discovery**
[[thesis](http://www.davidsbatista.net/assets/documents/publications/dsbatista-phd-thesis-2016.pdf)][[slides](http://www.davidsbatista.net/assets/documents/publications/phd-dsbatista2016-presentation.pdf)]
**David Soares Batista**, advisor: M´ario Jorge Costa Gaspar da Silva, University of Lisbon, 2016.
1. **Web Relation Extraction with Distant Supervision**
[[thesis](https://core.ac.uk/download/pdf/77022397.pdf)]
**Isabelle Augenstein**, advisor: Fabio Ciravegna and Diana Maynard, University of Sheffield, 2016.
1. **Joint Information Extraction**
[[thesis](https://blender.cs.illinois.edu/paper/qi_thesis.pdf)][[slides](https://blender.cs.illinois.edu/paper/qi_thesis.ppt)]
**Qi Li**, advisor: Heng ji, Rensselaer Polytechnic Institute, 2015.
1. **Distantly Supervised Information Extraction Using Bootstraped Patterns**
[[thesis](https://cs.stanford.edu/people/sonal/sonalgupta_dissertation.pdf)]
**Sonal Gupta**, Advisor: Christopher Manning, STanford University, 2015.
1. **Open Information Extraction for the Web**
[[thesis](http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=50C145EDB8AEED6650A8E309F61A7C0F?doi=10.1.1.212.5142&rep=rep1&type=pdf)]
**Michele Banko**, Advisor: Oren Etzioni, University of Washington, 2009.
## Papers about Information Extraction (since 2010-)
(ordered by year)
### 2019-NER
1. **A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy**
[[paper](https://www.aclweb.org/anthology/P19-1014.pdf)]
*Genady Beryozkin | Yoel Drori | Oren Gilon | Tzvika Hartman | Idan Szpektor,* ACL-2019.
1. **Joint Entity Extraction and Assertion Detection for Clinical Text**
[[paper](https://www.aclweb.org/anthology/P19-1091.pdf)]
*Parminder Bhatia | Busra Celikkaya | Mohammed Khalilia,* ACL-short-2019.
1. **Multi-grained Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/P19-1138.pdf)]
*Congying Xia | Chenwei Zhang | Tao Yang | Yaliang Li | Nan Du | Xian Wu | Wei Fan | Fenglong Ma | Philip Yu,* ACL-2019.
1. **Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning**
[[paper](https://www.aclweb.org/anthology/P19-1231.pdf)][[code](https://github.com/v-mipeng/LexiconNER)]
*Minlong Peng | Xiaoyu Xing | Qi Zhang | Jinlan Fu | Xuanjing Huang,* ACL-2019.
1. **Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/P19-1336.pdf)]
*Joey Tianyi Zhou | Hao Zhang | Di Jin | Hongyuan Zhu | Meng Fang | Rick Siow Mong Goh | Kenneth Kwok,* ACL-2019.
1. **NNE: A Dataset for Nested Named Entity Recognition in English Newswire**
[[paper](https://www.aclweb.org/anthology/P19-1510.pdf)][[data](https://github.com/nickyringland/nested_named_entities)]
*Nicky Ringland | Xiang Dai | Ben Hachey | Sarvnaz Karimi | Cecile Paris | James R. Curran,* ACL-short-2019.
1. **Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks**
[[paper](https://www.aclweb.org/anthology/P19-1511.pdf)][[code](https://github.com/sanmusunrise/ARNs)]
*Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun,* ACL-2019.
1. **Towards Improving Neural Named Entity Recognition with Gazetteers**
[[paper](https://www.aclweb.org/anthology/P19-1524.pdf)][[code](https://github.com/lyutyuh/acl19_subtagger)]
*Tianyu Liu | Jin-Ge Yao | Chin-Yew Lin,* ACL-short-2019.
1. **A Prism Module for Semantic Disentanglement in Name Entity Recognition**
[[paper](https://www.aclweb.org/anthology/P19-1532.pdf)][[code](https://github.com/liukun95/Prism-Module)]
*Kun Liu | Shen Li | Daqi Zheng | Zhengdong Lu | Sheng Gao | Si Li,* ACL-short-2019.
1. **A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/P19-1587.pdf)]
*Ravneet Arora | Chen-Tse Tsai | Ketevan Tsereteli | Prabhanjan Kambadur | Yi Yang,* ACL-short-2019.
1. **A Boundary-aware Neural Model for Nested Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1034.pdf)][[code](https://github.com/thecharm/boundary-aware-nested-ner)]
*Changmeng Zheng | Yi Cai | Jingyun Xu | Ho-fung Leung | Guandong Xu,* EMNLP-2019.
1. **Similarity Based Auxiliary Classifier for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1105.pdf)][[code](https://github.com/XiaoShiyuan/NCRF-SAC)]
*Shiyuan Xiao | Yuanxin Ouyang | Wenge Rong | Jianxin Yang | Zhang Xiong,* EMNLP-2019.
1. **Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1360.pdf)][[code](https://github.com/gentaiscool/meta-emb)]
*Genta Indra Winata | Zhaojiang Lin | Jamin Shin | Zihan Liu | Pascale Fung,* EMNLP-short-2019.
1. **Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1367.pdf)]
*Yufan Jiang | Chi Hu | Tong Xiao | Chunliang Zhang | Jingbo Zhu,* EMNLP-short-2019.
1. **Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network**
[[paper](https://www.aclweb.org/anthology/D19-1396.pdf)][[code](https://github.com/DianboWork/Graph4CNER)]
*Dianbo Sui | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu,* EMNLP-2019.
1. **Dependency-Guided LSTM-CRF for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1399.pdf)][[code](https://github.com/allanj/ner_with_dependency)]
*Zhanming Jie | Wei Lu,* EMNLP-2019.
1. **A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers**
[[paper](https://www.aclweb.org/anthology/D19-1520.pdf)][[code](https://github.com/Aditi138/EntityTargetedActiveLearning)]
*Aditi Chaudhary | Jiateng Xie | Zaid Sheikh | Graham Neubig | Jaime Carbonell,* EMNLP-2019.
1. **Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1646.pdf)]
*Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun | Bin Dong | Shanshan Jiang,* EMNLP-short-2019.
1. **Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing**
[[paper](https://www.aclweb.org/anthology/D19-1648.pdf)]
*Taiki Watanabe | Akihiro Tamura | Takashi Ninomiya | Takuya Makino | Tomoya Iwakura,* EMNLP-short-2019.
1. **Weakly Supervised Attention Networks for Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D19-1652.pdf)][[code](https://github.com/joelmoniz/AttentionSegmentation)]
*Barun Patra | Joel Ruben Antony Moniz,* EMNLP-short-2019.
1. **What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis**
[[paper](https://www.aclweb.org/anthology/D19-1672.pdf)]
*Xiaolei Huang | Jonathan May | Nanyun Peng,* EMNLP-short-2019.
1. **Entity Recognition at First Sight: Improving NER with Eye Movement Information**
[[paper](https://www.aclweb.org/anthology/N19-1001.pdf)][[data](https://github.com/DS3Lab/ner-at-first-sight)]
*Nora Hollenstein | Ce Zhang,* NAACL-2019.
1. **Pooled Contextualized Embeddings for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N19-1078.pdf)]
*Alan Akbik | Tanja Bergmann | Roland Vollgraf,* NAACL-short-2019.
1. **Better Modeling of Incomplete Annotations for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N19-1079.pdf)][[code and data](https://github.com/allanj/ner_incomplete_annotation)]
*Zhanming Jie | Pengjun Xie | Wei Lu | Ruixue Ding | Linlin Li,* NAACL-short-2019.
1. **Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N19-1117.pdf)]
*Angli Liu | Jingfei Du | Veselin Stoyanov,* NAACL-2019.
1. **Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities**
[[paper](https://www.aclweb.org/anthology/N19-1231.pdf)][[code](https://github.com/alexerdmann/HER)]
*Alexander Erdmann | David Joseph Wrisley | Benjamin Allen | Christopher Brown | Sophie Cohen-Bodénès | Micha Elsner | Yukun Feng | Brian Joseph | Béatrice Joyeux-Prunel | Marie-Catherine de Marneffe,* NAACL-2019.
1. **CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N19-1342.pdf)]
*Yuying Zhu | Guoxin Wang,* NAACL-2019.
1. **Cross-lingual Transfer Learning for Japanese Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N19-2023.pdf)]
*Andrew Johnson | Penny Karanasou | Judith Gaspers | Dietrich Klakow,* NAACL-Industry track-2019.
### 2019-RE
1. **Neural Relation Extraction for Knowledge Base Enrichment**
[[paper](https://www.aclweb.org/anthology/P19-1023.pdf)][[code and data](http://www.ruizhang.info/GKB/gkb.htm)]
*Bayu Distiawan Trisedya | Gerhard Weikum | Jianzhong Qi | Rui Zhang,* ACL-2019.
1. **Attention Guided Graph Convolutional Networks for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1024.pdf)][[code](https://github.com/Cartus/AGGCN_TACRED)]
*Zhijiang Guo | Yan Zhang | Wei Lu,* ACL-2019.
1. **DocRED: A Large-Scale Document-Level Relation Extraction Dataset**
[[paper](https://www.aclweb.org/anthology/P19-1074.pdf)][[code and data](https://github.com/thunlp/DocRED)]
*Yuan Yao | Deming Ye | Peng Li | Xu Han | Yankai Lin | Zhenghao Liu | Zhiyuan Liu | Lixin Huang | Jie Zhou | Maosong Sun,* ACL-2019.
1. **Graph Neural Networks with Generated Parameters for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1128.pdf)][[code and data](https://github.com/thunlp/gp-gnn)]
*Hao Zhu | Yankai Lin | Zhiyuan Liu | Jie Fu | Tat-Seng Chua | Maosong Sun,* ACL-2019.
1. **Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data**
[[paper](https://www.aclweb.org/anthology/P19-1130.pdf)]
*Wei Ye | Bo Li | Rui Xie | Zhonghao Sheng | Long Chen | Shikun Zhang,* ACL-2019.
1. **Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers**
[[paper](https://www.aclweb.org/anthology/P19-1132.pdf)][[code](https://github.com/helloeve/mre-in-one-pass)]
*Haoyu Wang | Ming Tan | Mo Yu | Shiyu Chang | Dakuo Wang | Kun Xu | Xiaoxiao Guo | Saloni Potdar,* ACL-short-2019.
1. **Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1134.pdf)][[code](https://github.com/DFKI-NLP/DISTRE)]
*Christoph Alt | Marc Hübner | Leonhard Hennig,* ACL-2019.
1. **ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification**
[[paper](https://www.aclweb.org/anthology/P19-1135.pdf)][[data](https://github.com/PaddlePaddle/models/tree/develop/PaddleNLP/Research/ACL2019-ARNOR)]
*Wei Jia | Dai Dai | Xinyan Xiao | Hua Wu,* ACL-2019
1. **DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1137.pdf)][[code and data](https://github.com/thunlp/DIAG-NRE)]
*Shun Zheng | Xu Han | Yankai Lin | Peilin Yu | Lu Chen | Ling Huang | Zhiyuan Liu | Wei Xu,* ACL-2019.
1. **Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification**
[[paper](https://www.aclweb.org/anthology/P19-1277.pdf)][[code](https://github.com/ZhixiuYe/MLMAN)]
*Zhi-Xiu Ye | Zhen-Hua Ling,* ACL-2019.
1. **Fine-Grained Temporal Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1280.pdf)]
*Siddharth Vashishtha | Benjamin Van Durme | Aaron Steven White,* ACL-2019.
1. **Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network**
[[paper](https://www.aclweb.org/anthology/P19-1423.pdf)][[data](http://nactem.ac.uk/CHR/)]
*Sunil Kumar Sahu | Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou,* ACL-short-2019.
1. **Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge**
[[paper](https://www.aclweb.org/anthology/P19-1430.pdf)][[code](https://github.com/thunlp/Chinese_NRE)]
*Ziran Li | Ning Ding | Zhiyuan Liu | Haitao Zheng | Ying Shen,* ACL-2019.
1. **Span-Level Model for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P19-1525.pdf)]
*Kalpit Dixit | Yaser Al-Onaizan,* ACL-short-2019.
1. **Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision**
[[paper](https://www.aclweb.org/anthology/P19-1589.pdf)]
*Abiola Obamuyide | Andreas Vlachos,* ACL-short-2019.
1. **Leveraging Dependency Forest for Neural Medical Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1020.pdf)]
*Linfeng Song | Yue Zhang | Daniel Gildea | Mo Yu | Zhiguo Wang | jinsong su,* EMNLP-2019.
1. **Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data**
[[paper](https://www.aclweb.org/anthology/D19-1021.pdf)][[code](https://github.com/thunlp/RSN)]
*Ruidong Wu | Yuan Yao | Xu Han | Ruobing Xie | Zhiyuan Liu | Fen Lin | Leyu Lin | Maosong Sun,* EMNLP-2019.
1. **Improving Relation Extraction with Knowledge-attention**
[[paper](https://www.aclweb.org/anthology/D19-1022.pdf)]
*Pengfei Li | Kezhi Mao | Xuefeng Yang | Qi Li,* EMNLP-2019.
1. **Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1037.pdf)]
*Yuyun Huang | Jinhua Du,* EMNLP-2019.
1. **Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping**
[[paper](https://www.aclweb.org/anthology/D19-1038.pdf)]
*Jian Ni | Radu Florian,* EMNLP-2019.
1. **Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1039.pdf)][[code and data](https://github.com/sunlab-osu/REDS2)]
*xiang deng | Huan Sun,* EMNLP-2019.
1. **Improving Distantly-Supervised Relation Extraction with Joint Label Embedding**
[[paper](https://www.aclweb.org/anthology/D19-1395.pdf)]
*Linmei Hu | Luhao Zhang | Chuan Shi | Liqiang Nie | Weili Guan | Cheng Yang,* EMNLP-2019.
1. **Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1397.pdf)][[code](https://github.com/INK-USC/shifted-label-distribution)]
*Qinyuan Ye | Liyuan Liu | Maosen Zhang | Xiang Ren,* EMNLP-2019.
1. **Easy First Relation Extraction with Information Redundancy**
[[paper](https://www.aclweb.org/anthology/D19-1398.pdf)]
*Shuai Ma | Gang Wang | Yansong Feng | Jinpeng Huai,* EMNLP-2019.
1. **Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1414.pdf)][[code](https://github.com/sgarg87/nearly_unsupervised_hashcode_representations)]
*Sahil Garg | Aram Galstyan | Greg Ver Steeg | Guillermo Cecchi,* EMNLP-2019.
1. **Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs**
[[paper](https://www.aclweb.org/anthology/D19-1498.pdf)][[code](https://github.com/fenchri/edge-oriented-graph)]
*Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou,* EMNLP-2019.
1. **An Improved Neural Baseline for Temporal Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-1642.pdf)]
*Qiang Ning | Sanjay Subramanian | Dan Roth,* EMNLP-short-2019.
1. **Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas**
[[paper](https://www.aclweb.org/anthology/D19-1645.pdf)][[code and data](https://github.com/aurtg/nary-relation-extraction-decomposed)]
*Kosuke Akimoto | Takuya Hiraoka | Kunihiko Sadamasa | Mathias Niepert,* EMNLP-short-2019.
1. **FewRel 2.0: Towards More Challenging Few-Shot Relation Classification**
[[paper](https://www.aclweb.org/anthology/D19-1649.pdf)][[code and data](https://github.com/thunlp/fewrel)]
*Tianyu Gao | Xu Han | Hao Zhu | Zhiyuan Liu | Peng Li | Maosong Sun | Jie Zhou,* EMNLP-short-2019.
1. **OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D19-3029.pdf)][[code](https://github.com/thunlp/)]
*Xu Han | Tianyu Gao | Yuan Yao | Deming Ye | Zhiyuan Liu | Maosong Sun,* EMNLP-short-2019.
1. **UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering**
[[paper](https://www.aclweb.org/anthology/N19-1031.pdf)]
*Zi-Yuan Chen | Chih-Hung Chang | Yi-Pei Chen | Jijnasa Nayak | Lun-Wei Ku,* NAACL-2019.
1. **Sentence Embedding Alignment for Lifelong Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1086.pdf)][[code and data](https://github.com/hongwang600/Lifelong_Relation_Detection)]
*Hong Wang | Wenhan Xiong | Mo Yu | Xiaoxiao Guo | Shiyu Chang | William Yang Wang,* NAACL-2019.
1. **Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision**
[[paper](https://www.aclweb.org/anthology/N19-1107.pdf)][[code and data](https://github.com/ElliottYan/DS_Temporal)]
*Jianhao Yan | Lin He | Ruqin Huang | Jian Li | Ying Liu,* NAACL-2019.
1. **Relation Extraction using Explicit Context Conditioning**
[[paper](https://www.aclweb.org/anthology/N19-1147.pdf)]
*Gaurav Singh | Parminder Bhatia,* NAACL-short-2019.
1. **Combining Distant and Direct Supervision for Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1184.pdf)][[code](https://github.com/allenai/comb_dist_direct_relex/)]
*Iz Beltagy | Kyle Lo | Waleed Ammar,* NAACL-2019.
1. **Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN**
[[paper](https://www.aclweb.org/anthology/N19-1286.pdf)]
*Van-Hien Tran | Van-Thuy Phi | Hiroyuki Shindo | Yuji Matsumoto,* NAACL-2019.
1. **Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions**
[[paper](https://www.aclweb.org/anthology/N19-1288.pdf)][[code](https://github.com/ZhixiuYe/Intra-Bag-and-Inter-Bag-Attentions)]
*Zhi-Xiu Ye | Zhen-Hua Ling,* NAACL-2019.
1. **A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1298.pdf)][[code](https://github.com/catcd/RbSP)]
*Duy-Cat Can | Hoang-Quynh Le | Quang-Thuy Ha | Nigel Collier,* NAACL-2019.
1. **Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks**
[[paper](https://www.aclweb.org/anthology/N19-1306.pdf)]
*Ningyu Zhang | Shumin Deng | Zhanlin Sun | Guanying Wang | Xi Chen | Wei Zhang | Huajun Chen,* NAACL-2019.
1. **GAN Driven Semi-distant Supervision for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1307.pdf)]
*Pengshuai Li | Xinsong Zhang | Weijia Jia | Hai Zhao,* NAACL-2019.
1. **Structured Minimally Supervised Learning for Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1310.pdf)][[code and data](https://github.com/bflashcp3f/PCNN-NMAR)]
*Fan Bai | Alan Ritter,* NAACL-2019.
1. **Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N19-1323.pdf)][[code](https://github.com/billy-inn/HRERE)]
*Peng Xu | Denilson Barbosa,* NAACL-short-2019.
1. **Exploiting Noisy Data in Distant Supervision Relation Classification**
[[paper](https://www.aclweb.org/anthology/N19-1325.pdf)]
*Kaijia Yang | Liang He | Xin-yu Dai | Shujian Huang | Jiajun Chen,* NAACL-2019.
1. **Document-Level N-ary Relation Extraction with Multiscale Representation Learning**
[[paper](https://www.aclweb.org/anthology/N19-1370.pdf)]
*Robin Jia | Cliff Wong | Hoifung Poon,* NAACL-2019.
### 2018-NER
1. **A Study of the Importance of External Knowledge in the Named Entity Recognition Task**
[[paper](https://www.aclweb.org/anthology/P18-2039.pdf)]
*Dominic Seyler | Tatiana Dembelova | Luciano Del Corro | Johannes Hoffart | Gerhard Weikum,* ACL-short-2018.
1. **A Named Entity Recognition Shootout for German**
[[paper](https://www.aclweb.org/anthology/P18-2020.pdf)]
*Martin Riedl | Sebastian Padó,* ACL-short-2018.
1. **Named Entity Recognition With Parallel Recurrent Neural Networks**
[[paper](https://www.aclweb.org/anthology/P18-2012.pdf)]
*Andrej Žukov-Gregorič | Yoram Bachrach | Sam Coope,* ACL-short-2018.
1. **Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism**
[[paper](https://www.aclweb.org/anthology/D18-1017.pdf)][[code](https://github.com/CPF-NLPR/AT4ChineseNER)]
*Pengfei Cao | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu,* EMNLP-2018.
1. **Neural Cross-Lingual Named Entity Recognition with Minimal Resources**
[[paper](https://www.aclweb.org/anthology/D18-1034.pdf)][[code](https://github.com/thespectrewithin/cross-lingual_NER)]
*Jiateng Xie | Zhilin Yang | Graham Neubig | Noah A. Smith | Jaime Carbonell,* EMNLP-2018.
1. **Neural Adaptation Layers for Cross-domain Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D18-1226.pdf)][[code](https://github.com/yuchenlin/CDMA-NER)]
*Bill Yuchen Lin | Wei Lu,* EMNLP-2018.
1. **Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets**
[[paper](https://www.aclweb.org/anthology/D18-1306.pdf)]
*Nathan Greenberg | Trapit Bansal | Patrick Verga | Andrew McCallum,* EMNLP-short-2018.
1. **Deep Exhaustive Model for Nested Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D18-1309.pdf)]
*Mohammad Golam Sohrab | Makoto Miwa,* EMNLP-short-2018.
1. **On the Strength of Character Language Models for Multilingual Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D18-1345.pdf)]
*Xiaodong Yu | Stephen Mayhew | Mark Sammons | Dan Roth,* EMNLP-short-2018.
1. **A Practical Incremental Learning Framework For Sparse Entity Extraction**
[[paper](https://www.aclweb.org/anthology/C18-1059.pdf)][[code](https://github.com/halolimat/SpExtor)]
*Hussein Al-Olimat | Steven Gustafson | Jason Mackay | Krishnaprasad Thirunarayan | Amit Sheth,* Coling-2018.
1. **An Empirical Study on Fine-Grained Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/C18-1060.pdf)][[data](https://fgner.alt.ai/duc/ene/testsets/comp/en/)]
*Khai Mai | Thai-Hoang Pham | Minh Trung Nguyen | Tuan Duc Nguyen | Danushka Bollegala | Ryohei Sasano | Satoshi Sekine,* Coling-2018.
1. **Robust Lexical Features for Improved Neural Network Named-Entity Recognition**
[[paper](https://www.aclweb.org/anthology/C18-1161.pdf)]
*Abbas Ghaddar | Phillippe Langlais,* Coling-2018.
1. **Transfer Learning for Entity Recognition of Novel Classes**
[[paper](https://www.aclweb.org/anthology/C18-1168.pdf)][[code](https://github.com/ciads-ut/transfer-learning-ner)]
*Juan Diego Rodriguez | Adam Caldwell | Alexander Liu,* Coling-2018.
1. **Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags**
[[paper](https://www.aclweb.org/anthology/C18-1177.pdf)][[code](https://github.com/onurgu/joint-ner-and-md-tagger)]
*Onur Güngör | Suzan Uskudarli | Tunga Güngör,* Coling-2018.
1. **A Survey on Recent Advances in Named Entity Recognition from Deep Learning models**
[[paper](https://www.aclweb.org/anthology/C18-1182.pdf)]
*Vikas Yadav | Steven Bethard,* Coling-2018.
1. **Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models**
[[paper](https://www.aclweb.org/anthology/C18-1185.pdf)]
*Lingzhen Chen | Alessandro Moschitti,* Coling-2018.
1. **Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N18-1001.pdf)]
*Zhenghui Wang | Yanru Qu | Liheng Chen | Jian Shen | Weinan Zhang | Shaodian Zhang | Yimei Gao | Gen Gu | Ken Chen | Yong Yu*, NAACL-2018.
1. **Multimodal Named Entity Recognition for Short Social Media Posts**
[[paper](https://www.aclweb.org/anthology/N18-1078.pdf)]
*Seungwhan Moon | Leonardo Neves | Vitor Carvalho,* NAACL-2018.
1. **Nested Named Entity Recognition Revisited**
[[paper](https://www.aclweb.org/anthology/N18-1079.pdf)]
*Arzoo Katiyar | Claire Cardie,* NAACL-2018.
1. **Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media**
[[paper](https://www.aclweb.org/anthology/N18-1127.pdf)]
*Gustavo Aguilar | Adrian Pastor López-Monroy | Fabio González | Thamar Solorio,* NAACL-2018.
1. **A Neural Layered Model for Nested Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N18-1131.pdf)][[code](https://github.com/meizhiju/layered-bilstm-crf)]
*Meizhi Ju | Makoto Miwa | Sophia Ananiadou,* NAACL-2018.
1. **Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding**
[[paper](https://www.aclweb.org/anthology/N18-2056.pdf)]
*Huasha Zhao | Yi Yang | Qiong Zhang | Luo Si,* NAACL-short-2018.
### 2018-RE
1. **DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P18-1046.pdf)]
*Pengda Qin | Weiran Xu | William Yang Wang,* ACL-2018.
1. **Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning**
[[paper](https://www.aclweb.org/anthology/P18-1199.pdf)]
*Pengda Qin | Weiran Xu | William Yang Wang,* ACL-2018.
1. **A Walk-based Model on Entity Graphs for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P18-2014.pdf)]
*Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou,* ACL-short-2018.
1. **Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P18-2015.pdf)][[data](https://github.com/pvthuy/part-whole-relations)]
*Van-Thuy Phi | Joan Santoso | Masashi Shimbo | Yuji Matsumoto,* ACL-2018.
1. **Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D18-1120.pdf)]
*Ningyu Zhang | Shumin Deng | Zhanling Sun | Xi Chen | Wei Zhang | Huajun Chen,* EMNLP-short-2018.
1. **Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D18-1125.pdf)]
*Ge Shi | Chong Feng | Lifu Huang | Boliang Zhang | Heng Ji | Lejian Liao | Heyan Huang,* EMNLP-short-2018.
1. **RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information**
[[paper](https://www.aclweb.org/anthology/D18-1157.pdf)]
*Shikhar Vashishth | Rishabh Joshi | Sai Suman Prayaga | Chiranjib Bhattacharyya | Partha Talukdar,* EMNLP-2018.
1. **Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning**
[[paper](https://www.aclweb.org/anthology/D18-1243.pdf)]
*Tianyi Liu | Xinsong Zhang | Wanhao Zhou | Weijia Jia,* EMNLP-2018.
1. **Graph Convolution over Pruned Dependency Trees Improves Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D18-1244.pdf)]
*Yuhao Zhang | Peng Qi | Christopher D. Manning,* EMNLP-2018.
1. **Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D18-1245.pdf)]
*Jinhua Du | Jingguang Han | Andy Way | Dadong Wan,* EMNLP-2018.
1. **N-ary Relation Extraction using Graph-State LSTM**
[[paper](https://www.aclweb.org/anthology/D18-1246.pdf)][[code](https://github.com/freesunshine0316/nary-grn)]
*Linfeng Song | Yue Zhang | Zhiguo Wang | Daniel Gildea,* EMNLP-2018.
1. **Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding**
[[paper](https://www.aclweb.org/anthology/D18-1248.pdf)]
*Guanying Wang | Wen Zhang | Ruoxu Wang | Yalin Zhou | Xi Chen | Wei Zhang | Hai Zhu | Huajun Chen,* EMNLP-2018.
1. **Large-scale Exploration of Neural Relation Classification Architectures**
[[paper](https://www.aclweb.org/anthology/D18-1250.pdf)][[code and data](https://github.com/aidantee/MASS)]
*Hoang-Quynh Le | Duy-Cat Can | Sinh T. Vu | Thanh Hai Dang | Mohammad Taher Pilehvar | Nigel Collier,* EMNLP-2018.
1. **FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation**
[[paper](https://www.aclweb.org/anthology/D18-1514.pdf)][[data](https://github.com/ProKil/FewRel)]
*Xu Han | Hao Zhu | Pengfei Yu | Ziyun Wang | Yuan Yao | Zhiyuan Liu | Maosong Sun,* EMNLP-2018.
1. **Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition**
[[paper](https://www.aclweb.org/anthology/C18-1015.pdf)]
*Yu Hong | Yang Xu | Huibin Ruan | Bowei Zou | Jianmin Yao | Guodong Zhou,* Coling-2018.
1. **Cooperative Denoising for Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/C18-1036.pdf)]
*Kai Lei | Daoyuan Chen | Yaliang Li | Nan Du | Min Yang | Wei Fan | Ying Shen,* Coling-2018.
1. **Adversarial Feature Adaptation for Cross-lingual Relation Classification**
[[paper](https://www.aclweb.org/anthology/C18-1037.pdf)]
*Bowei Zou | Zengzhuang Xu | Yu Hong | Guodong Zhou,* Coling-2018.
1. **Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences**
[[paper](https://www.aclweb.org/anthology/C18-1098.pdf)]
*Shiou Tian Hsu | Mandar Chaudhary | Nagiza Samatova,* Coling-2018.
1. **Adversarial Multi-lingual Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/C18-1099.pdf)][[code](https://github.com/thunlp/AMNRE)]
*Xiaozhi Wang | Xu Han | Yankai Lin | Zhiyuan Liu | Maosong Sun,* Coling-2018.
1. **Neural Relation Classification with Text Descriptions**
[[paper](https://www.aclweb.org/anthology/C18-1100.pdf)]
*Feiliang Ren | Di Zhou | Zhihui Liu | Yongcheng Li | Rongsheng Zhao | Yongkang Liu | Xiaobo Liang,* Coling-2018.
1. **Exploratory Neural Relation Classification for Domain Knowledge Acquisition**
[[paper](https://www.aclweb.org/anthology/C18-1192.pdf)]
*Yan Fan | Chengyu Wang | Xiaofeng He,* Coling-2018.
1. **Word-Level Loss Extensions for Neural Temporal Relation Classification**
[[paper](https://www.aclweb.org/anthology/C18-1291.pdf)]
*Artuur Leeuwenberg | Marie-Francine Moens,* Coling-2018.
1. **Joint Bootstrapping Machines for High Confidence Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N18-1003.pdf)][[code](https://github.com/pgcool/Joint-Bootstrapping-Machines)]
*Pankaj Gupta | Benjamin Roth | Hinrich Schütze,* NAACL-2018.
1. **Global Relation Embedding for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N18-1075.pdf)]
*Yu Su | Honglei Liu | Semih Yavuz | Izzeddin Gür | Huan Sun | Xifeng Yan,* NAACL-2018.
1. **Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource**
[[paper](https://www.aclweb.org/anthology/N18-1077.pdf)]
*Qiang Ning | Hao Wu | Haoruo Peng | Dan Roth,* NAACL-2018.
1. **Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N18-1080.pdf)][[code and data](https://github.com/patverga/bran)]
*Patrick Verga | Emma Strubell | Andrew McCallum,* NAACL-2018.
1. **Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text**
[[paper](https://www.aclweb.org/anthology/N18-2059.pdf)][[data](https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset)]
*Ji Wen | Xu Sun | Xuancheng Ren | Qi Su,* NAACL-short-2018.
1. **Visually Guided Spatial Relation Extraction from Text**
[[paper](https://www.aclweb.org/anthology/N18-2124.pdf)]
*Taher Rahgooy | Umar Manzoor | Parisa Kordjamshidi,* NAACL-short-2018.
### 2017-NER
1. **A Local Detection Approach for Named Entity Recognition and Mention Detection**
[[paper](https://www.aclweb.org/anthology/P17-1114.pdf)][[code](https://github.com/xmb-cipher/fofe-ner)]
*Mingbin Xu | Hui Jiang | Sedtawut Watcharawittayakul,* ACL-2017.
1. **Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection**
[[paper](https://www.aclweb.org/anthology/P17-1135.pdf)]
*Jian Ni | Georgiana Dinu | Radu Florian,* ACL-2017.
1. **Cheap Translation for Cross-Lingual Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/D17-1269.pdf)]
*Stephen Mayhew | Chen-Tse Tsai | Dan Roth,* EMNLP-2017.
1. **Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks**
[[paper](https://www.aclweb.org/anthology/D17-1282.pdf)]
*Peng-Hsuan Li | Ruo-Ping Dong | Yu-Siang Wang | Ju-Chieh Chou | Wei-Yun Ma,* EMNLP-short-2017.
1. **Fast and Accurate Entity Recognition with Iterated Dilated Convolutions**
[[paper](https://www.aclweb.org/anthology/D17-1283.pdf)][[code](https://github.com/iesl/dilated-cnn-ner)]
*Emma Strubell | Patrick Verga | David Belanger | Andrew McCallum,* EMNLP-2017.
1. **NeuroNER: an easy-to-use program for named-entity recognition based on neural networks**
[[paper](https://www.aclweb.org/anthology/D17-2017.pdf)][[code](https://github.com/Franck-Dernoncourt/NeuroNER)]
*Franck Dernoncourt | Ji Young Lee | Peter Szolovits,* EMNLP-short-2017.
### 2017-RE
1. **Neural Relation Extraction with Multi-lingual Attention**
[[paper](https://www.aclweb.org/anthology/P17-1004.pdf)][[code](https://github.com/thunlp/MNRE)]
*Yankai Lin | Zhiyuan Liu | Maosong Sun,* ACL-2017.
1. **Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix**
[[paper](https://www.aclweb.org/anthology/P17-1040.pdf)]
*Bingfeng Luo | Yansong Feng | Zheng Wang | Zhanxing Zhu | Songfang Huang | Rui Yan | Dongyan Zhao,* ACL-2017.
1. **Improved Neural Relation Detection for Knowledge Base Question Answering**
[[paper](https://www.aclweb.org/anthology/P17-1053.pdf)]
*Mo Yu | Wenpeng Yin | Kazi Saidul Hasan | Cicero dos Santos | Bing Xiang | Bowen Zhou,* ACL-2017.
1. **Jointly Extracting Relations with Class Ties via Effective Deep Ranking**
[[paper](https://www.aclweb.org/anthology/P17-1166.pdf)]
*Hai Ye | Wenhan Chao | Zhunchen Luo | Zhoujun Li,* ACL-2017.
1. **Self-Crowdsourcing Training for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P17-2082.pdf)]
*Azad Abad | Moin Nabi | Alessandro Moschitti,* ACL-short-2017.
1. **Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach**
[[paper](https://www.aclweb.org/anthology/D17-1005.pdf)][[code](https://github.com/LiyuanLucasLiu/ReHession)]
*Liyuan Liu | Xiang Ren | Qi Zhu | Shi Zhi | Huan Gui | Heng Ji | Jiawei Han,* EMNLP-2017.
1. **End-to-End Neural Relation Extraction with Global Optimization**
[[paper](https://www.aclweb.org/anthology/D17-1182.pdf)][[code](https://github.com/zhangmeishan/NNRelationExtraction)]
*Meishan Zhang | Yue Zhang | Guohong Fu,* EMNLP-2017.
1. **Incorporating Relation Paths in Neural Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D17-1186.pdf)][[code](https://github.com/thunlp/PathNRE)]
*Wenyuan Zeng | Yankai Lin | Zhiyuan Liu | Maosong Sun,* EMNLP-2017.
1. **Adversarial Training for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D17-1187.pdf)]
*Yi Wu | David Bamman | Stuart Russell,* EMNLP-short-2017.
1. **Context-Aware Representations for Knowledge Base Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D17-1188.pdf)]
*Daniil Sorokin | Iryna Gurevych,* EMNLP-short-2017.
1. **A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D17-1189.pdf)]
*Tianyu Liu | Kexiang Wang | Baobao Chang | Zhifang Sui,* EMNLP-short-2017.
1. **Deep Residual Learning for Weakly-Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D17-1191.pdf)]
*Yi Yao Huang | William Yang Wang,* EMNLP-short-2017.
1. **Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective**
[[paper](https://www.aclweb.org/anthology/D17-1192.pdf)]
*Qing Zhang | Houfeng Wang,* EMNLP-short-2017.
1. **Learning Fine-grained Relations from Chinese User Generated Categories**
[[paper](https://www.aclweb.org/anthology/D17-1273.pdf)]
*Chengyu Wang | Yan Fan | Xiaofeng He | Aoying Zhou,* EMNLP-2017.
### 2016-NER
1. **Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning**
[[paper](https://www.aclweb.org/anthology/P16-2025.pdf)]
*Nanyun Peng | Mark Dredze,* ACL-short-2016.
1. **Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks**
[[paper](https://www.aclweb.org/anthology/P16-2039.pdf)]
*Suzushi Tomori | Takashi Ninomiya | Shinsuke Mori,* ACL-short-2016.
1. **Bootstrapped Text-level Named Entity Recognition for Literature**
[[paper](https://www.aclweb.org/anthology/P16-2056.pdf)]
*Julian Brooke | Adam Hammond | Timothy Baldwin,* ACL-short-2016.
1. **Named Entity Recognition for Novel Types by Transfer Learning**
[[paper](https://www.aclweb.org/anthology/D16-1087.pdf)]
*Lizhen Qu | Gabriela Ferraro | Liyuan Zhou | Weiwei Hou | Timothy Baldwin,* EMNLP-short-2016.
1. **Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping**
[[paper](https://www.aclweb.org/anthology/D16-1135.pdf)]
*Jian Ni | Radu Florian,* EMNLP-2016.
1. **Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings**
[[paper](https://www.aclweb.org/anthology/D16-1153.pdf)]
*Akash Bharadwaj | David Mortensen | Chris Dyer | Jaime Carbonell,* EMNLP-2016.
1. **CharNER: Character-Level Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/C16-1087.pdf)]
*Onur Kuru | Ozan Arkan Can | Deniz Yuret,* Coling-2016.
1. **Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik**
[[paper](https://www.aclweb.org/anthology/C16-1095.pdf)]
*Patrick Littell | Kartik Goyal | David R. Mortensen | Alexa Little | Chris Dyer | Lori Levin,* Coling-2016.
1. **Broad Twitter Corpus: A Diverse Named Entity Recognition Resource**
[[paper](https://www.aclweb.org/anthology/C16-1111.pdf)][[data](https://gate.ac.uk/wiki/broad-twitter-corpus.html)]
*Leon Derczynski | Kalina Bontcheva | Ian Roberts,* Coling-2016.
1. **An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N16-1028.pdf)]
*Wencan Luo | Fan Yang,* NAACL-2016.
1. **Neural Architectures for Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N16-1030.pdf)][[code1](https://github.com/glample/tagger)][[code2](https://github.com/clab/stack-lstm-ner)]
*Guillaume Lample | Miguel Ballesteros | Sandeep Subramanian | Kazuya Kawakami | Chris Dyer,* NAACL-2016.
### 2016-RE
1. **Bidirectional Recurrent Convolutional Neural Network for Relation Classification**
[[paper](https://www.aclweb.org/anthology/P16-1072.pdf)]
*Bidirectional Recurrent Convolutional Neural Network for Relation Classification,* ACL-2016.
1. **End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures**
[[paper](https://www.aclweb.org/anthology/P16-1105.pdf)]
*Makoto Miwa | Mohit Bansal,* ACL-2016.
1. **Relation Classification via Multi-Level Attention CNNs**
[[paper](https://www.aclweb.org/anthology/P16-1123.pdf)]
*Linlin Wang | Zhu Cao | Gerard de Melo | Zhiyuan Liu,* ACL-2016.
1. **Neural Relation Extraction with Selective Attention over Instances**
[[paper](https://www.aclweb.org/anthology/P16-1200.pdf)][[code](https://github.com/thunlp/NRE)]
*Yankai Lin | Shiqi Shen | Zhiyuan Liu | Huanbo Luan | Maosong Sun,* ACL-2016.
1. **Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification**
[[paper](https://www.aclweb.org/anthology/P16-2034.pdf)]
*Peng Zhou | Wei Shi | Jun Tian | Zhenyu Qi | Bingchen Li | Hongwei Hao | Bo Xu，* ACL-2016.
1. **A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification**
[[paper](https://www.aclweb.org/anthology/D16-1007.pdf)]
*Yunlun Yang | Yunhai Tong | Shulei Ma | Zhi-Hong Deng,* EMNLP-2016.
1. **A Unified Architecture for Semantic Role Labeling and Relation Classification**
[[paper](https://www.aclweb.org/anthology/C16-1120.pdf)]
*Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu | Jun Xu,* Coling-2016.
1. **Improved relation classification by deep recurrent neural networks with data augmentation**
[[paper](https://www.aclweb.org/anthology/C16-1138.pdf)]
*Yan Xu | Ran Jia | Lili Mou | Ge Li | Yunchuan Chen | Yangyang Lu | Zhi Jin,* Coling-2016.
1. **Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks**
[[paper](https://www.aclweb.org/anthology/C16-1139.pdf)]
*Xiaotian Jiang | Quan Wang | Peng Li | Bin Wang,* Coling-2016.
1. **Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network**
[[paper](https://www.aclweb.org/anthology/C16-1223.pdf)]
*Jianfei Yu | Jing Jiang,* Coling-2016.
1. **Combining Recurrent and Convolutional Neural Networks for Relation Classification**
[[paper](https://www.aclweb.org/anthology/N16-1065.pdf)]
*Ngoc Thang Vu | Heike Adel | Pankaj Gupta | Hinrich Schütze,* NAACL-short-2016.
1. **Multilingual Relation Extraction using Compositional Universal Schema**
[[paper](https://www.aclweb.org/anthology/N16-1103.pdf)]
*Patrick Verga | David Belanger | Emma Strubell | Benjamin Roth | Andrew McCallum,* NAACL-2016.
1. **Effective Crowd Annotation for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N16-1104.pdf)]
*Angli Liu | Stephen Soderland | Jonathan Bragg | Christopher H. Lin | Xiao Ling | Daniel S. Weld,* NAACL-2016.
### 2015-NER
1. **Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification**
[[paper](https://www.aclweb.org/anthology/P15-1013.pdf)]
*Audi Primadhanty | Xavier Carreras | Ariadna Quattoni,* ACL-2015.
1. **Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words**
[[paper](https://www.aclweb.org/anthology/P15-1090.pdf)]
*Chen Li | Yang Liu,* ACL-2015.
1. **Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora**
[[paper](https://www.aclweb.org/anthology/P15-2064.pdf)]
*Ayah Zirikly | Masato Hagiwara,* ACL-short-2015.
1. **Named entity recognition with document-specific KB tag gazetteers**
[[paper](https://www.aclweb.org/anthology/D15-1058.pdf)]
*Will Radford | Xavier Carreras | James Henderson,* EMNLP-short-2015.
1. **Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**
[[paper](https://www.aclweb.org/anthology/D15-1064.pdf)]
*Nanyun Peng | Mark Dredze,* EMNLP-short-2015.
1. **The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N15-1075.pdf)]
*Colin Cherry | Hongyu Guo,* NAACL-2105.
1. **Distributed Representations of Words to Guide Bootstrapped Entity Classifiers**
[[paper](https://www.aclweb.org/anthology/N15-1128.pdf)]
*Sonal Gupta | Christopher D. Manning,* NAACL-short-2015.
1. **Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition**
[[paper](https://www.aclweb.org/anthology/N15-1167.pdf)]
*Yudong Liu | Clinton Burkhart | James Hearne | Liang Luo,* NAACL-short-2019.
### 2015-RE
1. **Classifying Relations by Ranking with Convolutional Neural Networks**
[[paper](https://www.aclweb.org/anthology/P15-1061.pdf)]
*Cícero dos Santos | Bing Xiang | Bowen Zhou,* ACL-2015.
1. **Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P15-1062.pdf)]
*Thien Huu Nguyen | Barbara Plank | Ralph Grishman,* ACL-2015.
1. **A Dependency-Based Neural Network for Relation Classification**
[[paper](https://www.aclweb.org/anthology/P15-2047.pdf)]
*Yang Liu | Furu Wei | Sujian Li | Heng Ji | Ming Zhou | Houfeng Wang,* ACL-short-2015.
1. **Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling**
[[paper](https://www.aclweb.org/anthology/D15-1062.pdf)]
*Kun Xu | Yansong Feng | Songfang Huang | Dongyan Zhao,* EMNLP-short-2015.
1. **Inferring Binary Relation Schemas for Open Information Extraction**
[[paper](https://www.aclweb.org/anthology/D15-1065.pdf)]
*Kangqi Luo | Xusheng Luo | Kenny Zhu,* EMNLP-short-2015.
1. **Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning**
[[paper](https://www.aclweb.org/anthology/D15-1086.pdf)]
*Isabelle Augenstein | Andreas Vlachos | Diana Maynard,* EMNLP-2015.
1. **Sieve-Based Spatial Relation Extraction with Expanding Parse Trees**
[[paper](https://www.aclweb.org/anthology/D15-1087.pdf)]
*Jennifer D’Souza | Vincent Ng,* EMNLP-2015.
1. **Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks**
[[paper](https://www.aclweb.org/anthology/D15-1203.pdf)]
*Daojian Zeng | Kang Liu | Yubo Chen | Jun Zhao,* EMNLP-2015.
1. **CORE: Context-Aware Open Relation Extraction with Factorization Machines**
[[paper](https://www.aclweb.org/anthology/D15-1204.pdf)]
*Fabio Petroni | Luciano Del Corro | Rainer Gemulla,* EMNLP-2015.
1. **Improved Relation Extraction with Feature-Rich Compositional Embedding Models**
[[paper](https://www.aclweb.org/anthology/D15-1205.pdf)]
*Matthew R. Gormley | Mo Yu | Mark Dredze,* EMNLP-2015.
1. **Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths**
[[paper](https://www.aclweb.org/anthology/D15-1206.pdf)]
*Yan Xu | Lili Mou | Ge Li | Yunchuan Chen | Hao Peng | Zhi Jin,* EMNLP-2015.
1. **Optimizing Multivariate Performance Measures for Learning Relation Extraction Models**
[[paper](https://www.aclweb.org/anthology/N15-1090.pdf)]
*Gholamreza Haffari | Ajay Nagesh | Ganesh Ramakrishnan,* NAACL-2019.
1. **Injecting Logical Background Knowledge into Embeddings for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N15-1118.pdf)]
*Tim Rocktäschel | Sameer Singh | Sebastian Riedel,* NAACL-2019.
1. **Chain Based RNN for Relation Classification**
[[[paper](https://www.aclweb.org/anthology/N15-1133.pdf)]]
*Javid Ebrahimi | Dejing Dou,* NAACL-short-2019.
1. **Multilingual Open Relation Extraction Using Cross-lingual Projection**
[[paper](https://www.aclweb.org/anthology/N15-1151.pdf)]
*Manaal Faruqui | Shankar Kumar,* NAACL-short-2015.
1. **Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction**
[[paper](https://www.aclweb.org/anthology/N15-1155.pdf)][[code](https://github.com/Gorov/ERE_RE)]
*Mo Yu | Matthew R. Gormley | Mark Dredze,* NAACL-short-2015.
### 2014-NER
1. **Zero-shot Entity Extraction from Web Pages**
[[paper](https://www.aclweb.org/anthology/P14-1037.pdf)]
*Panupong Pasupat | Percy Liang,* ACL-2014.
1. **A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition**
[[paper](https://www.aclweb.org/anthology/C14-1093.pdf)]
*Fahd Alotaibi | Mark Lee,* Coling-2014.
### 2014-RE
1. **Omni-word Feature and Soft Constraint for Chinese Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P14-1054.pdf)]
*Yanping Chen | Qinghua Zheng | Wei Zhang,* ACL-2014.
1. **Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora**
[[paper](https://www.aclweb.org/anthology/P14-1055.pdf)]
*Longhua Qian | Haotian Hui | Ya’nan Hu | Guodong Zhou | Qiaoming Zhu,* ACL-2014.
1. **Robust Domain Adaptation for Relation Extraction via Clustering Consistency**
[[paper](https://www.aclweb.org/anthology/P14-1076.pdf)]
*Minh Luan Nguyen | Ivor W. Tsang | Kian Ming A. Chai | Hai Leong Chieu,* ACL-2014.
1. **Encoding Relation Requirements for Relation Extraction via Joint Inference**
[[paper](https://www.aclweb.org/anthology/P14-1077.pdf)]
*Liwei Chen | Yansong Feng | Songfang Huang | Yong Qin | Dongyan Zhao,* ACL-2014.
1. **Medical Relation Extraction with Manifold Models**
[[paper](https://www.aclweb.org/anthology/P14-1078.pdf)]
*Chang Wang | James Fan,* ACL-2014.
1. **Distant Supervision for Relation Extraction with Matrix Completion**
[[paper](https://www.aclweb.org/anthology/P14-1079.pdf)]
*Miao Fan | Deli Zhao | Qiang Zhou | Zhiyuan Liu | Thomas Fang Zheng | Edward Y. Chang,* ACL-2014.
1. **A Feature-Enriched Tree Kernel for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P14-2011.pdf)]
*Le Sun | Xianpei Han,* ACL-short-2014.
1. **Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P14-2012.pdf)]
*Thien Huu Nguyen | Ralph Grishman,* ACL-short-2014.
1. **Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P14-2117.pdf)]
*Xianpei Han | Le Sun,* ACL-short-2014.
1. **Infusion of Labeled Data into Distant Supervision for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P14-2119.pdf)]
*Maria Pershina | Bonan Min | Wei Xu | Ralph Grishman,* ACL-short-2014.
1. **Combining Distant and Partial Supervision for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D14-1164.pdf)][[code](https://nlp.stanford.edu/software/mimlre.shtml)]
*Gabor Angeli | Julie Tibshirani | Jean Wu | Christopher D. Manning,* EMNLP-2014.
1. **Typed Tensor Decomposition of Knowledge Bases for Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D14-1165.pdf)]
*Kai-Wei Chang | Wen-tau Yih | Bishan Yang | Christopher Meek,* EMNLP-2014.
1. **A convex relaxation for weakly supervised relation extraction**
[[paper](https://www.aclweb.org/anthology/D14-1166.pdf)]
*Édouard Grave,* EMNLP-2014.
1. **ZORE: A Syntax-based System for Chinese Open Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D14-1201.pdf)][[data](https://sourceforge.net/projects/zore/)]
*Likun Qiu | Yue Zhang,* EMNLP-2014.
1. **Type-Aware Distantly Supervised Relation Extraction with Linked Arguments**
[[paper](https://www.aclweb.org/anthology/D14-1203.pdf)]
*Mitchell Koch | John Gilmer | Stephen Soderland | Daniel S. Weld,* EMNLP-2014.
1. **Noisy Or-based model for Relation Extraction using Distant Supervision**
[[paper](https://www.aclweb.org/anthology/D14-1208.pdf)]
*Ajay Nagesh | Gholamreza Haffari | Ganesh Ramakrishnan,* EMNLP-short-2014.
1. **Ensemble-Based Medical Relation Classification**
[[paper](https://www.aclweb.org/anthology/C14-1159.pdf)]
*Jennifer D’Souza | Vincent Ng,* Coling-2014.
1. **Exploratory Relation Extraction in Large Text Corpora**
[[paper](Exploratory Relation Extraction in Large Text Corpora)]
*Alan Akbik | Thilo Michael | Christoph Boden,* Coling-2014.
1. **Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction**
[[paper](https://www.aclweb.org/anthology/C14-1199.pdf)]
*Yang Liu | Kang Liu | Liheng Xu | Jun Zhao,* Coling-2014.
1. **Relation Classification via Convolutional Deep Neural Network**
[[paper](https://www.aclweb.org/anthology/C14-1220.pdf)]
*Daojian Zeng | Kang Liu | Siwei Lai | Guangyou Zhou | Jun Zhao,* Coling-2014.
### 2013-NER
1. **Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition**
[[paper](https://www.aclweb.org/anthology/P13-1106.pdf)]
*Mengqiu Wang | Wanxiang Che | Christopher D. Manning,* ACL-2013.
1. **Named Entity Recognition with Bilingual Constraints**
[[paper](https://www.aclweb.org/anthology/N13-1006.pdf)]
*Wanxiang Che | Mengqiu Wang | Christopher D. Manning | Ting Liu，* NAACL-2013.
### 2013-RE
1. **Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P13-1147.pdf)]
*Barbara Plank | Alessandro Moschitti,* ACL-2013.
1. **Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction**
[[paper](https://www.aclweb.org/anthology/P13-2117.pdf)]
*Wei Xu | Raphael Hoffmann | Le Zhao | Ralph Grishman,* ACL-short-2013.
1. **Unsupervised Relation Extraction with General Domain Knowledge**
[[paper](https://www.aclweb.org/anthology/D13-1040.pdf)]
*Oier Lopez de Lacalle | Mirella Lapata,* EMNLP-2013.
1. **Effectiveness and Efficiency of Open Relation Extraction**
[[paper](https://www.aclweb.org/anthology/D13-1043.pdf)]
*Filipe Mesquita | Jordan Schmidek | Denilson Barbosa,* EMNLP-2013.