---
title: "Who cites End-to-end Neural Coreference Resolution — page 3"
description: "The papers of the Elamur Research library that cite «End-to-end Neural Coreference Resolution», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/cited-by/page/3/"
---
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# Who cites «End-to-end Neural Coreference Resolution» · page 3

436 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/cited-by/page/5/)

1. [ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain](https://aclanthology.org/2021.eacl-main.116/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
2. [Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?](https://aclanthology.org/2021.acl-long.75/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
3. [Constrained Multi-Task Learning for Event Coreference Resolution](https://aclanthology.org/2021.naacl-main.356/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
4. [Conundrums in Event Coreference Resolution: Making Sense of the State of the Art](https://aclanthology.org/2021.emnlp-main.103/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
5. [Coreference Resolution for the Biomedical Domain: A Survey](https://aclanthology.org/2021.crac-1.2/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
6. [Coreference by Appearance: Visually Grounded Event Coreference Resolution](https://aclanthology.org/2021.crac-1.14/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
7. [Cross-document Coreference Resolution over Predicted Mentions](https://aclanthology.org/2021.findings-acl.453/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
8. [Detecting Scenes in Fiction: A new Segmentation Task](https://aclanthology.org/2021.eacl-main.276/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
9. [Dictionary-based Debiasing of Pre-trained Word Embeddings](https://aclanthology.org/2021.eacl-main.16/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
10. [Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction](https://aclanthology.org/2021.findings-emnlp.258/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
11. [End-to-End AMR Coreference Resolution](https://aclanthology.org/2021.acl-long.324/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
12. [End-to-End Construction of NLP Knowledge Graph](https://aclanthology.org/2021.findings-acl.165/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
13. [End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline](https://arxiv.org/abs/2107.01700) *— 2021 · arXiv:2107.01700*
14. [End-to-end Neural Information Status Classification](https://aclanthology.org/2021.findings-emnlp.119/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
15. [Entity-Aware Abstractive Multi-Document Summarization](https://aclanthology.org/2021.findings-acl.30/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
16. [Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News](https://aclanthology.org/2021.emnlp-main.38/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
17. [Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression](https://aclanthology.org/2021.dnd-12.1/) *— 2021*
18. [Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions](https://aclanthology.org/2021.crac-1.11/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
19. [Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution](https://aclanthology.org/2021.acl-long.374/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
20. [Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results](https://aclanthology.org/2021.emnlp-main.381/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph](https://aclanthology.org/2021.eacl-main.265/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
22. [FanfictionNLP: A Text Processing Pipeline for Fanfiction](https://aclanthology.org/2021.nuse-1.2/) *— 2021 · Proceedings of the Third Workshop on Narrative Understanding*
23. [Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference](https://aclanthology.org/2021.emnlp-main.106/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [GENE: Global Event Network Embedding](https://aclanthology.org/2021.textgraphs-1.5/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
25. [GoG: Relation-aware Graph-over-Graph Network for Visual Dialog](https://aclanthology.org/2021.findings-acl.20/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
26. [Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting](https://aclanthology.org/2021.acl-long.465/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
27. [Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network](https://aclanthology.org/2021.naacl-main.125/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [Intent Features for Rich Natural Language Understanding](https://aclanthology.org/2021.naacl-industry.27/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
29. [Intrinsic Bias Metrics Do Not Correlate with Application Bias](https://aclanthology.org/2021.acl-long.150/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
30. [Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference](https://aclanthology.org/2021.acl-long.488/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
31. [KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships](https://aclanthology.org/2021.findings-emnlp.384/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
32. [Lazy Low-Resource Coreference Resolution: a Study on Leveraging Black-Box Translation Tools](https://aclanthology.org/2021.crac-1.6/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
33. [Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport](https://aclanthology.org/2021.mrl-1.6/) *— 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning*
34. [Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols](https://aclanthology.org/2021.acl-long.525/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
35. [Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2021.acl-long.367/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
36. [Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction](https://aclanthology.org/2021.emnlp-main.214/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
37. [Modeling Coreference Relations in Visual Dialog](https://aclanthology.org/2021.eacl-main.290/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
38. [Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering](https://aclanthology.org/2021.acl-long.255/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
39. [Moving on from OntoNotes: Coreference Resolution Model Transfer](https://aclanthology.org/2021.emnlp-main.425/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
40. [Multilingual Coreference Resolution with Harmonized Annotations](https://aclanthology.org/2021.ranlp-1.125/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
41. [Neural Anaphora Resolution in Dialogue](https://aclanthology.org/2021.codi-sharedtask.2/) *— 2021 · Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue*
42. [On Generalization in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/) *— our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
43. [OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres](https://aclanthology.org/2021.acl-short.59/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
44. [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) *— 2021 · arXiv:2107.13586*
45. [RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System](https://aclanthology.org/2021.naacl-demos.16/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
46. [Realistic Evaluation Principles for Cross-document Coreference Resolution](https://aclanthology.org/2021.starsem-1.13/) *— 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
47. [Resources and Evaluations for Danish Entity Resolution](https://aclanthology.org/2021.crac-1.7/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
48. [Robust Question Answering Through Sub-part Alignment](https://aclanthology.org/2021.naacl-main.98/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
49. [Scaling Within Document Coreference to Long Texts](https://aclanthology.org/2021.findings-acl.343/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
50. [Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution](https://aclanthology.org/2021.gebnlp-1.12/) *— 2021 · Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing*
51. [Stay Together: A System for Single and Split-antecedent Anaphora Resolution](https://aclanthology.org/2021.naacl-main.329/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models](https://aclanthology.org/2021.eacl-main.190/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
53. [Structured Prediction as Translation between Augmented Natural Languages](https://arxiv.org/abs/2101.05779) *— 2021 · arXiv:2101.05779 · International Conference on Learning Representations (ICLR) 2021*
54. [Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents](https://aclanthology.org/2021.naacl-main.263/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
55. [Syntax Role for Neural Semantic Role Labeling](https://aclanthology.org/2021.cl-3.17/) *— 2021 · Computational Linguistics*
56. [TIMERS: Document-level Temporal Relation Extraction](https://aclanthology.org/2021.acl-short.67/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
57. [Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly](https://aclanthology.org/2021.conll-1.40/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
58. [Taking Things Personally: Third Person to First Person Rephrasing](https://aclanthology.org/2021.nlp4convai-1.1/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
59. [Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution](https://aclanthology.org/2021.crac-1.16/) *— 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference*
60. [Unsupervised Enrichment of Persona-grounded Dialog with Background Stories](https://aclanthology.org/2021.acl-short.74/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
61. [Video Question Answering with Phrases via Semantic Roles](https://aclanthology.org/2021.naacl-main.196/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
62. [WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia](https://aclanthology.org/2021.naacl-main.198/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
63. [Weakly Supervised Named Entity Tagging with Learnable Logical Rules](https://aclanthology.org/2021.acl-long.352/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
64. [Word-Level Coreference Resolution](https://aclanthology.org/2021.emnlp-main.605/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
65. [A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News](https://aclanthology.org/2020.crac-1.9/) *— 2020 · Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference*
66. [A Cluster Ranking Model for Full Anaphora Resolution](https://aclanthology.org/2020.lrec-1.2/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
67. [A Cross-Task Analysis of Text Span Representations](https://aclanthology.org/2020.repl4nlp-1.20/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
68. [A Data-Centric Framework for Composable NLP Workflows](https://aclanthology.org/2020.emnlp-demos.26/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
69. [A Frustratingly Easy Approach for Entity and Relation Extraction](https://arxiv.org/abs/2010.12812) *— 2020 · arXiv:2010.12812*
70. [A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification](https://aclanthology.org/2020.findings-emnlp.42/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
71. [A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining](https://aclanthology.org/2020.findings-emnlp.146/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
72. [A Scientific Information Extraction Dataset for Nature Inspired Engineering](https://aclanthology.org/2020.lrec-1.255/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
73. [Active Learning for Coreference Resolution using Discrete Annotation](https://aclanthology.org/2020.acl-main.738/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
74. [An Annotated Dataset of Coreference in English Literature](https://md.research.elamur.ai/free/en/papers/bamman-2020-annotated-dataset-coreference-english-literature/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
75. [Asking without Telling: Exploring Latent Ontologies in Contextual Representations](https://aclanthology.org/2020.emnlp-main.552/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
76. [Attending to Long-Distance Document Context for Sequence Labeling](https://aclanthology.org/2020.findings-emnlp.330/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
77. [BENNERD: A Neural Named Entity Linking System for COVID-19](https://aclanthology.org/2020.emnlp-demos.24/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
78. [Combining Thai EDUs: Principle and Implementation](https://aclanthology.org/2020.paclic-1.31/) *— 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation*
79. [Compressive Summarization with Plausibility and Salience Modeling](https://aclanthology.org/2020.emnlp-main.507/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
80. [Content Planning for Neural Story Generation with Aristotelian Rescoring](https://aclanthology.org/2020.emnlp-main.351/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
81. [Contrastive Self-Supervised Learning for Commonsense Reasoning](https://aclanthology.org/2020.acl-main.671/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
82. [Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art](https://aclanthology.org/2020.emnlp-main.536/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
83. [CorefQA: Coreference Resolution as Query-based Span Prediction](https://aclanthology.org/2020.acl-main.622/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
84. [Coreferential Reasoning Learning for Language Representation](https://aclanthology.org/2020.emnlp-main.582/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
85. [D-Coref: A Fast and Lightweight Coreference Resolution Model using DistilBERT](https://aclanthology.org/2020.icon-main.43/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)*
86. [Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction](https://aclanthology.org/2020.semeval-1.92/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
87. [Distinguishing Between Foreground and Background Events in News](https://aclanthology.org/2020.coling-main.453/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
88. [Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation](https://aclanthology.org/2020.acl-main.484/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
89. [End to End Chinese Lexical Fusion Recognition with Sememe Knowledge](https://aclanthology.org/2020.coling-main.263/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
90. [Enhanced Labelling in Active Learning for Coreference Resolution](https://aclanthology.org/2020.crac-1.12/) *— 2020 · Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference*
91. [Exploiting Cross-Lingual Hints to Discover Event Pronouns](https://aclanthology.org/2020.lrec-1.12/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
92. [Exploring Span Representations in Neural Coreference Resolution](https://aclanthology.org/2020.codi-1.4/) *— 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse*
93. [Fast End-to-end Coreference Resolution for Korean](https://aclanthology.org/2020.findings-emnlp.237/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
94. [Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
95. [French Coreference for Spoken and Written Language](https://aclanthology.org/2020.lrec-1.10/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
96. [Generalizing Natural Language Analysis through Span-relation Representations](https://aclanthology.org/2020.acl-main.192/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
97. [Geometric Deep Learning Models for Linking Character Names in Novels](https://aclanthology.org/2020.latechclfl-1.15/) *— 2020 · Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
98. [How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization](https://aclanthology.org/2020.findings-emnlp.229/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
99. [Improving Compositional Generalization in Semantic Parsing](https://aclanthology.org/2020.findings-emnlp.225/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
100. [In Layman”s Terms: Semi-Open Relation Extraction from Scientific Texts](https://aclanthology.org/2020.acl-main.137/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*

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