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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models ...
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Case-based Reasoning for Natural Language Queries over Knowledge Bases ...
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Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ...
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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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Improved Latent Tree Induction with Distant Supervision via Span Constraints ...
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Scaling Within Document Coreference to Long Texts
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In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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Improved Latent Tree Induction with Distant Supervision via Span Constraints ...
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The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Drozdov, Andrew; Finkbeiner, Dylan; Iyyer, Mohit; Lee, Jay-Yoon; McCallum, Andrew; O'Gorman, Tim; Rongali, Subendhu; Suresh, Shilpa; Xu, Zhiyang. - : Underline Science Inc., 2021
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.395/ Abstract: For over thirty years, researchers have developed and analyzed methods for latent tree induction as an approach for unsupervised syntactic parsing. Nonetheless, modern systems still do not perform well enough compared to their supervised counterparts to have any practical use as structural annotation of text. In this work, we present a technique that uses distant supervision in the form of span constraints (i.e. phrase bracketing) to improve performance in unsupervised constituency parsing. Using a relatively small number of span constraints we can substantially improve the output from DIORA, an already competitive unsupervised parsing system. Compared with full parse tree annotation, span constraints can be acquired with minimal effort, such as with a lexicon derived from Wikipedia, to find exact text matches. Our experiments show span constraints based on entities improves constituency parsing on English WSJ Penn Treebank by more ...
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URL: https://dx.doi.org/10.48448/xket-x092 https://underline.io/lecture/37858-improved-latent-tree-induction-with-distant-supervision-via-span-constraints
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The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures
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In: arXiv (2020)
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Energy and Policy Considerations for Deep Learning in NLP ...
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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset ...
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Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? ...
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Linguistically-Informed Self-Attention for Semantic Role Labeling ...
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Multilingual Relation Extraction using Compositional Universal Schema ...
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Learning Dynamic Feature Selection for Fast Sequential Prediction ...
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Compositional Vector Space Models for Knowledge Base Completion ...
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