Relation Extraction
EMNLP 2019
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Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete.2019. Fine-Grained Evaluation for Entity Linking. In EMNLP2019.
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Arpita Roy, Youngja Park, Taesung Lee and Shimei Pan.2019. Supervising Unsupervised Open Information Extraction Models . In EMNLP2019
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Jian Liu, Yubo Chen, Kang Liu and Jun Zhao.2019. Neural Cross-Lingual Event Detection with Minimal Parallel Resources . In EMNLP2019
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Filipe Mesquita, Matteo Cannaviccio and Jordan Schmidek.2019. KnowledgeNet: A Benchmark Dataset for Knowledge Base Population . In EMNLP2019
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Aditya Gupta and Greg Durrett.2019. Effective Use of Transformer Networks for Entity Tracking . In EMNLP2019
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Linmei Hu, Luhao Zhang, and Chuan Shi.2019. Improving Distantly-Supervised Relation Extraction with Joint Label Embedding . In EMNLP2019
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Qinyuan Ye, Liyuan Liu, Maosen Zhang and Xiang Ren.2019. Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction . In EMNLP2019
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Zhanming Jie and Wei Lu.2019. Dependency-Guided LSTM-CRF for Named Entity Recognition . In EMNLP2019
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Zihan Wang, Jingbo Shang and Liyuan Liu.2019. CrossWeigh: Training Named Entity Tagger from Imperfect Annotations . In EMNLP2019
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Aditi Chaudhary, Jiateng Xie, Zaid Sheikh.2019. A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers . In EMNLP2019
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Lee Xiong, Chuan Hu and Chenyan Xiong.2019. Open Domain Web Keyphrase Extraction Beyond Language Modeling . In EMNLP2019
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Ivana Balazevic, Carl Allen and Timothy Hospedales.2019. TuckER: Tensor Factorization for Knowledge Graph Completion . In EMNLP2019
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Simon Razniewski, Nitisha Jain, Paramita Mirza and Gerhard Weikum.2019. Coverage of Information Extraction from Sentences and Paragraphs . In EMNLP2019
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Xiaozhi Wang, Ziqi Wang, and Xu Han.2019. HMEAE: Hierarchical Modular Event Argument Extraction . In EMNLP2019
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David Wadden, Ulme Wennberg, Yi Luan and Hannaneh Hajishirzi.2019. Entity, Relation, and Event Extraction with Contextualized Span Representations . In EMNLP2019