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## A dataset for answering complex questions that require reasoning over multiple web snippets. |
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ComplexWebQuestions is a new dataset that contains a large set of complex questions in natural language, and can be used in multiple ways: |
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By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018); |
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As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model; |
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As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer. |
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### Citation |
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``` |
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@inproceedings{talmor18compwebq, |
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author = {A. Talmor and J. Berant}, |
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booktitle = {North American Association for Computational Linguistics (NAACL)}, |
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title = {The Web as a Knowledge-base for Answering Complex Questions}, |
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year = {2018}, |
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} |
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``` |