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We present an empirical study on methods for span finding, the selection of consecutive tokens in text for some downstream tasks.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Harvesting paragraph-level question-answer pairs from Wikipedia
Xinya Du and Claire Cardie. 2018 · 1917
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A decision tree method for finding and classifying names in Japanese texts
Satoshi Sekine, Ralph Grishman, and Hiroyuki Shinnou. 1998 · 1998
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
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Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
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A statistical model for multilingual entity detection and tracking
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ACE 2005 Multilingual Training Corpus LDC2006T06
Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006 · 2005
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OntoNotes Release 5.0 LDC2013T19
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Answer extraction as sequence tagging with tree edit distance
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Learning recurrent span representations for extractive question answering
Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, and Dipanjan Das. 2016 · 2016
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Joint extraction of events and entities within a document context
Bishan Yang and Tom M. Mitchell. 2016 · 2016
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End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
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Bidirectional attention flow for machine comprehension
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
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Joint entity recognition and relation extraction as a multi-head selection problem
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, and Chris Develder. 2018 · 2018
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AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
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Higher-order coreference resolution with coarse-to-fine inference
Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018 · 2018
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Deep contextualized word representations
Reading the manual: Event extraction as definition comprehension
Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, and Benjamin Van Durme. 2020 · 2020
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Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
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A unified MRC framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2020 · 2020
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A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
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Instance-based learning of span representations: A case study through named entity recognition
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, and Kentaro Inui. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Entity, relation, and event extraction with contextualized span representations
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Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Nested named entity recognition via second-best sequence learning and decoding
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A novel cascade binary tagging framework for relational triple extraction
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SpanNER: Named entity re-/recognition as span prediction
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Coreference resolution without span representations
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Automated concatenation of embeddings for structured prediction
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A frustratingly easy approach for entity and relation extraction
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