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We introduce a multi-task setup of identifying and classifying entities, relations, and coreference clusters in scientific articles.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Towards a computational history of the ACL: 1980-2008
Ashton Anderson, Dan McFarland, and Dan Jurafsky. 2012 · 2008
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A unified architecture for natural language processing: Deep neural networks with multitask learning
Ronan Collobert and Jason Weston. 2008 · 2008
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Coherent citation-based summarization of scientific papers
Amjad Abu-Jbara and Dragomir Radev. 2011 · 2011
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Analyzing the dynamics of research by extracting key aspects of scientific papers
Sonal Gupta and Christopher D Manning. 2011 · 2011
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Structures and statistics of citation networks
Miray Kas. 2011 · 2011
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Discovering factions in the computational linguistics community
Yanchuan Sim, Noah A Smith, and David A Smith. 2012 · 2012
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Brat: a web-based tool for nlp-assisted text annotation
Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii. 2012 · 2012
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He said, she said: Gender in the ACL anthology
Adam Vogel and Dan Jurafsky. 2012 · 2012
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Extracting and matching authors and affiliations in scholarly documents
Huy Hoang Nhat Do, Muthu Kumar Chandrasekaran, Philip S Cho, and Min Yen Kan. 2013 · 2013
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Joint inference of entities, relations, and coreference
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, and Andrew McCallum. 2013 · 2013
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Concept-based analysis of scientific literature
Chen-Tse Tsai, Gourab Kundu, and Dan Roth. 2013 · 2013
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The computational linguistics summarization pilot task
Kokil Jaidka, Muthu Kumar Chandrasekaran, Beatriz Fisas Elizalde, Rahul Jha, Christopher Jones, Min-Yen Kan, Ankur Khanna, Diego Molla-Aliod, Dragomir R Radev, Francesco Ronzano, et al. 2014 · 2014
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Exploiting parallel news streams for unsupervised event extraction
Congle Zhang, Stephen Soderland, and Daniel S. Weld. 2015 · 2015
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Improving coreference resolution by learning entity-level distributed representations
Kevin Clark and Christopher D. Manning. 2016 · 2016
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Semantic annotation of the ACL anthology corpus for the automatic analysis of scientific literature
Kata Gabor, Haifa Zargayouna, Davide Buscaldi, Isabelle Tellier, and Thierry Charnois. 2016 · 2016
Cited alongside, same era.
Unsupervised relation extraction in specialized corpora using sequence mining
Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, and Thierry Charnois. 2016 · 2016
Cited alongside, same era.
A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg, and Anders Søgaard. 2016 · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke S. Zettlemoyer. 2017 · 2017
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Cross-sentence n-ary relation extraction with graph lstms
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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Semi-supervised sequence tagging with bidirectional language models
Matthew Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017 · 2017
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Distant supervision for relation extraction beyond the sentence boundary
Chris Quirk and Hoifung Poon. 2017 · 2017
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Semi-supervised multitask learning for sequence labeling
Marek Rei. 2017 · 2017
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Frame-semantic parsing with softmax-margin segmental rnns and a syntactic scaffold
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Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li. 2016 · 2016
Cited alongside, same era.
End-to-end relation extraction using lstms on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
Cited alongside, same era.
The ACL RD-TEC 2.0: A language resource for evaluating term extraction and entity recognition methods
Behrang QasemiZadeh and Anne-Kathrin Schumann. 2016 · 2016
Cited alongside, same era.
Learning global features for coreference resolution
Sam Wiseman, Alexander M. Rush, and Stuart M. Shieber. 2016 · 2016
Cited alongside, same era.
Improved relation classification by deep recurrent neural networks with data augmentation
Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, and Zhi Jin. 2016 · 2016
Cited alongside, same era.
Global normalization of convolutional neural networks for joint entity and relation classification
Heike Adel and Hinrich Schütze. 2017 · 2017
Cited alongside, same era.
The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction
Waleed Ammar, Matthew Peters, Chandra Bhagavatula, and Russell Power. 2017 · 2017
Cited alongside, same era.
Swabha Swayamdipta, Sam Thomson, Chris Dyer, and Noah A. Smith. 2017 · 2017
Later among the works it cites.
End-to-end neural relation extraction with global optimization
Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017
Later among the works it cites.
Joint extraction of entities and relations based on a novel tagging scheme
Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, and Bo Xu. 2017 · 2017
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Construction of the literature graph in semantic scholar
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, et al. 2018 · 2018
Closest in time.
Semeval-2018 Task 7: Semantic relation extraction and classification in scientific papers
Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, Behrang QasemiZadeh, Haïfa Zargayouna, and Thierry Charnois. 2018 · 2018
Closest in time.
Jointly predicting predicates and arguments in neural semantic role labeling
Luheng He, Kenton Lee, Omer Levy, and Luke Zettlemoyer. 2018 · 2018
Closest in time.
Higher-order coreference resolution with coarse-to-fine inference
Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018 · 2018
Closest in time.
The uwnlp system at semeval-2018 task 7: Neural relation extraction model with selectively incorporated concept embeddings
Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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