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Grammars and Topic Models| old_uid | 12786 |
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| title | Grammars and Topic Models |
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| start_date | 2013/09/20 |
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| schedule | 11h-12h30 |
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| online | no |
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| location_info | salle 127 |
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| details | Toute personne intéressée est la bienvenue. |
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| summary | Context-free grammars have been a cornerstone of theoretical computer science and computational linguistics since their inception over half a century ago. Topic models are a newer development in machine learning that play an important role in document analysis and information retrieval. It turns out there is a surprising connection between the two that suggests novel ways of extending both grammars and topic models. After explaining this connection, I go on to describe extensions which identify topical multiword collocations and automatically learn the internal structure of named-entity phrases. These new models have applications in text data mining and information retrieval. |
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| responsibles | Candito |
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