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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Decontextualization: Making Sentences Stand-Alone ... Choi, Eunsol; Palomaki, Jennimaria; Lamm, Matthew; Kwiatkowski, Tom; Das, Dipanjan; Collins, Michael. - : arXiv, 2021 Abstract: Models for question answering, dialogue agents, and summarization often interpret the meaning of a sentence in a rich context and use that meaning in a new context. Taking excerpts of text can be problematic, as key pieces may not be explicit in a local window. We isolate and define the problem of sentence decontextualization: taking a sentence together with its context and rewriting it to be interpretable out of context, while preserving its meaning. We describe an annotation procedure, collect data on the Wikipedia corpus, and use the data to train models to automatically decontextualize sentences. We present preliminary studies that show the value of sentence decontextualization in a user facing task, and as preprocessing for systems that perform document understanding. We argue that decontextualization is an important subtask in many downstream applications, and that the definitions and resources provided can benefit tasks that operate on sentences that occur in a richer context. ... : To appear in Transactions of the Association for Computational Linguistics (TACL) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2102.05169 https://arxiv.org/abs/2102.05169 BASE Hide details 2 QED: A Framework and Dataset for Explanations in Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Eunsol; Alberti, Chris. - : Underline Science Inc., 2021 BASE Show details 3 TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages ... Clark, Jonathan H.; Choi, Eunsol; Collins, Michael. - : arXiv, 2020 BASE Show details 4 QED: A Framework and Dataset for Explanations in Question Answering ... Lamm, Matthew; Palomaki, Jennimaria; Alberti, Chris. - : arXiv, 2020 BASE Show details 5 Natural Questions: A Benchmark for Question Answering Research Kwiatkowski, Tom; Palomaki, Jennimaria; Redfield, Olivia... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 453-466 (2019) (2019) BASE Show details 6 The pragmatics and syntax of the Finnish -han particle clitic Palomaki, Jennimaria Kristiina. - : uga, 2016 BASE Show details 7 Exploring possibilities for a syntactic account for the Finnish –han enclitic Palomaki, Jennimaria. - : The Linguistics Society at the University of Georgia, 2013 BASE Show details

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