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Statistical parsers - PowerPoint PPT Presentation


Parsing

Parsing

Università di Pisa. Parsing. Giuseppe Attardi Dipartimento di Informatica Università di Pisa. Question Answering at TREC. Consists of answering a set of 500 fact-based questions, e.g. “When was Mozart born ?” Systems were allowed to return 5 ranked answer snippets to each question.

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835 views • 82 slides



LING 581: Advanced Computational Linguistics

LING 581: Advanced Computational Linguistics

LING 581: Advanced Computational Linguistics. Lecture Notes January 30th. Relative clause constructions. Terminology g ap (__): indicates where the head of the construction is interpreted Subject RC: the man ( that|who ) __ saw me Object RC: the man ( that|who ) I saw __

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539 views • 37 slides


Are Linguists Dinosaurs?

Are Linguists Dinosaurs?

Are Linguists Dinosaurs?. Statistical language processors seem to be doing away with the need for linguists. Why do we need linguists when a machine can learn the rules of the language and parse sentences? However, (workable) statistical parsers require a parsed corpus (a treebank).

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123 views • 4 slides


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