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Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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QED: A Framework and Dataset for Explanations in Question Answering ...
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TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages ...
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QED: A Framework and Dataset for Explanations in Question Answering ...
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Natural Questions: A Benchmark for Question Answering Research
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Kwiatkowski, Tom; Palomaki, Jennimaria; Redfield, Olivia; Collins, Michael; Parikh, Ankur; Alberti, Chris; Epstein, Danielle; Polosukhin, Illia; Devlin, Jacob; Lee, Kenton; Toutanova, Kristina; Jones, Llion; Kelcey, Matthew; Chang, Ming-Wei; Dai, Andrew M.; Uszkoreit, Jakob; Le, Quoc; Petrov, Slav
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 453-466 (2019) (2019)
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Abstract:
We present the Natural Questions corpus, a question answering data set. Questions consist of real anonymized, aggregated queries issued to the Google search engine. An annotator is presented with a question along with a Wikipedia page from the top 5 search results, and annotates a long answer (typically a paragraph) and a short answer (one or more entities) if present on the page, or marks null if no long/short answer is present. The public release consists of 307,373 training examples with single annotations; 7,830 examples with 5-way annotations for development data; and a further 7,842 examples with 5-way annotated sequestered as test data. We present experiments validating quality of the data. We also describe analysis of 25-way annotations on 302 examples, giving insights into human variability on the annotation task. We introduce robust metrics for the purposes of evaluating question answering systems; demonstrate high human upper bounds on these metrics; and establish baseline results using competitive methods drawn from related literature.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/tacl_a_00276 https://doaj.org/article/8650fdc04d7944c4893d0b995b6de6f7
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Predicting the impact of scientific concepts using full‐text features
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Learning Dictionaries for Named Entity Recognition using Minimal Supervision ...
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Experiments With Spectral Learning of Latent-Variable PCFGs
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In: Statistics Papers (2013)
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Cognitive Perspectives On English Word Order
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1343315752 (2012)
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They do be anxious about their speech: Performance and Perceptions of Authenticity in Irish-Newfoundland English
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In: The English Languages: History, Diaspora, Culture; Vol 3 (2012) ; 1929-5855 (2012)
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Depth and distance perception of dentists and dental students
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Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides
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Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel
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On dual decomposition and linear programming relaxations for natural language processing
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In: MIT web domain (2010)
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Dual decomposition for parsing with non-projective head automata
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In: MIT web domain (2010)
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