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pro vyhledávání: '"Alonso, Hector Martinez"'
Autor:
Cheng, Jianpeng, Agrawal, Devang, Alonso, Hector Martinez, Bhargava, Shruti, Driesen, Joris, Flego, Federico, Ghosh, Shaona, Kaplan, Dain, Kartsaklis, Dimitri, Li, Lin, Piraviperumal, Dhivya, Williams, Jason D, Yu, Hong, Seaghdha, Diarmuid O, Johannsen, Anders
We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog. By formulating DST as a semantic parsing task over hierarchical representations, we can incorporate semantic compositio
Externí odkaz:
http://arxiv.org/abs/2010.12770
We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step decoding to guarantee that function words are attached as leaf nodes. Th
Externí odkaz:
http://arxiv.org/abs/1701.03163
Multitask learning has been applied successfully to a range of tasks, mostly morphosyntactic. However, little is known on when MTL works and whether there are data characteristics that help to determine its success. In this paper we evaluate a range
Externí odkaz:
http://arxiv.org/abs/1612.02251
Akademický článek
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Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa. NEALT Proceedings Series, Vol. 11 (2011), 18-25. © 2011 The editors and contributors. Publi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1018::38be7d3f62321637d47de132628d8d26
http://hdl.handle.net/10062/17285
http://hdl.handle.net/10062/17285