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Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks.

, , and . HLT-NAACL, page 1256-1261. The Association for Computational Linguistics, (2016)

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Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks., , and . HLT-NAACL, page 1256-1261. The Association for Computational Linguistics, (2016)Supervised Learning of Complete Morphological Paradigms., and . HLT-NAACL, page 1185-1195. The Association for Computational Linguistics, (2013)Annotating and Modeling Fine-grained Factuality in Summarization., and . NAACL-HLT, page 1449-1462. Association for Computational Linguistics, (2021)The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning., and . NeurIPS, (2022)Conditional Generation of Temporally-ordered Event Sequences., , and . ACL/IJCNLP (1), page 7142-7157. Association for Computational Linguistics, (2021)Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints., , and . ACL (1), The Association for Computer Linguistics, (2016)Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses., , , , , and . ACL (Findings), page 12532-12555. Association for Computational Linguistics, (2023)Complementary Explanations for Effective In-Context Learning., , , , , and . ACL (Findings), page 4469-4484. Association for Computational Linguistics, (2023)Web question answering with neurosymbolic program synthesis., , , , , and . PLDI, page 328-343. ACM, (2021)Shortcomings of Question Answering Based Factuality Frameworks for Error Localization., , and . EACL, page 132-146. Association for Computational Linguistics, (2023)