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Decontextualization: Making Sentences Stand-Alone ...
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
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2
On planetary systems as ordered sequences ...
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3
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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4
QED: A Framework and Dataset for Explanations in Question Answering ...
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5
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages ...
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6
QED: A Framework and Dataset for Explanations in Question Answering ...
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7
Natural Questions: A Benchmark for Question Answering Research
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 453-466 (2019) (2019)
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8
Cross-Lingual Syntactic Transfer with Limited Resources ...
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9
Predicting the impact of scientific concepts using full‐text features
McKeown, Kathy; Daume, Hal; Chaturvedi, Snigdha. - : Association for Computational Linguistics, 2016. : Wiley Periodicals, Inc., 2016
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10
Learning Dictionaries for Named Entity Recognition using Minimal Supervision ...
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11
Information Density and Dependency Length as Complementary Cognitive Models
In: Journal of psycholinguistic research. - New York, NY ; London [u.a.] : Springer 43 (2014) 5, 651-681
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12
Experiments With Spectral Learning of Latent-Variable PCFGs
In: Statistics Papers (2013)
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13
Cognitive Perspectives On English Word Order
In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343315752 (2012)
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14
They do be anxious about their speech: Performance and Perceptions of Authenticity in Irish-Newfoundland English
In: The English Languages: History, Diaspora, Culture; Vol 3 (2012) ; 1929-5855 (2012)
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15
Depth and distance perception of dentists and dental students
Dimitrijevic, Teodora; Kahler, Bill; Evans, Gareth. - : Operative Dentistry, 2011
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16
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010
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17
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010
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18
Efficient third-order dependency parsers
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 1-11
BLLDB
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19
On dual decomposition and linear programming relaxations for natural language processing
In: MIT web domain (2010)
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20
Dual decomposition for parsing with non-projective head automata
In: MIT web domain (2010)
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