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We introduce fastcoref, a python package for fast, accurate, and easy-to-use English coreference resolution.
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CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
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Concept-map-based multi-document summarization using concept coreference resolution and global importance optimization
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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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Higher-order coreference resolution with coarse-to-fine inference
Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018 · 2018
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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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Coreference and coherence in neural machine translation: A study using oracle experiments
Dario Stojanovski and Alexander Fraser. 2018 · 2018
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Context-aware neural machine translation learns anaphora resolution
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov. 2018 · 2018
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Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
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Quoref: A reading comprehension dataset with questions requiring coreferential reasoning
Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, and Matt Gardner. 2019 · 2019
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Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019
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Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, and Kevin Gimpel. 2020 · 2020
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CorefQA: Coreference resolution as query-based span prediction
Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, and Jiwei Li. 2020 · 2020
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Incremental neural coreference resolution in constant memory
Patrick Xia, João Sedoc, and Benjamin Van Durme. 2020 · 2020
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Revealing the myth of higher-order inference in coreference resolution
Liyan Xu and Jinho D. Choi. 2020 · 2020
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Robust question answering through sub-part alignment
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BERT for coreference resolution: Baselines and analysis
Mandar Joshi, Omer Levy, Luke Zettlemoyer, and Daniel Weld. 2019 · 2019
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Coreference resolution with entity equalization
Ben Kantor and Amir Globerson. 2019 · 2019
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spaCy: Industrial-strength Natural Language Processing in Python
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyn. 2020 · 2020
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SciREX: A challenge dataset for document-level information extraction
Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, and Iz Beltagy. 2020 · 2020
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Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, and Qun Liu. 2020 · 2020
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SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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Jifan Chen and Greg Durrett. 2021 · 2021
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Word-level coreference resolution
Vladimir Dobrovolskii. 2021 · 2021
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Coreference resolution without span representations
Yuval Kirstain, Ori Ram, and Omer Levy. 2021 · 2021
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Efficiently summarizing text and graph encodings of multi-document clusters
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, and Markus Dreyer. 2021 · 2021
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Scaling within document coreference to long texts
Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, and Andrew McCallum. 2021 · 2021
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Lingmess: Linguistically informed multi expert scorers for coreference resolution
Shon Otmazgin, Arie Cattan, and Yoav Goldberg. 2022 · 2022
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