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1
Denoising Word Embeddings by Averaging in a Shared Space ...
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2
CDLM: Cross-Document Language Modeling ...
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3
Cross-document Coreference Resolution over Predicted Mentions ...
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4
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline ...
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5
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ...
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6
Denoising Word Embeddings by Averaging in a Shared Space ...
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7
Realistic Evaluation Principles for Cross-document Coreference Resolution ...
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8
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions ...
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9
Asking It All: Generating Contextualized Questions for any Semantic Role ...
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10
Paraphrasing vs Coreferring: Two Sides of the Same Coin ...
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11
Revisiting the Binary Linearization Technique for Surface Realization
In: Proceedings of The 12th International Conference on Natural Language Generation ; https://hal.archives-ouvertes.fr/hal-02460309 ; Proceedings of The 12th International Conference on Natural Language Generation, 2019, pp.268 - 278 (2019)
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12
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution ...
Abstract: Recognizing coreferring events and entities across multiple texts is crucial for many NLP applications. Despite the task's importance, research focus was given mostly to within-document entity coreference, with rather little attention to the other variants. We propose a neural architecture for cross-document coreference resolution. Inspired by Lee et al (2012), we jointly model entity and event coreference. We represent an event (entity) mention using its lexical span, surrounding context, and relation to entity (event) mentions via predicate-arguments structures. Our model outperforms the previous state-of-the-art event coreference model on ECB+, while providing the first entity coreference results on this corpus. Our analysis confirms that all our representation elements, including the mention span itself, its context, and the relation to other mentions contribute to the model's success. ... : ACL 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1906.01753
https://dx.doi.org/10.48550/arxiv.1906.01753
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13
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System ...
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14
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition ...
Shwartz, Vered; Dagan, Ido. - : arXiv, 2019
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15
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 403-419 (2019) (2019)
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16
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations ...
Shwartz, Vered; Dagan, Ido. - : arXiv, 2018
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17
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations ...
Shwartz, Vered; Dagan, Ido. - : arXiv, 2016
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18
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations ...
Shwartz, Vered; Dagan, Ido. - : arXiv, 2016
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19
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
In: DTIC (2013)
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20
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis ...
Zesch, Torsten; Levy, Omer; Gurevych, Iryna. - : DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany, 2013
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