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Titlebook: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing; Stefan Wermter,Ellen Riloff,Gabriele Schel

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書目名稱Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
編輯Stefan Wermter,Ellen Riloff,Gabriele Scheler
視頻videohttp://file.papertrans.cn/236/235623/235623.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing;  Stefan Wermter,Ellen Riloff,Gabriele Schel
描述This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI‘95, in Montreal, Canada in August 1995..Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.
出版日期Conference proceedings 1996
關(guān)鍵詞Algorithmisches Lernen; Computational Learning; Grammatical Inferenz; Grammatische Inferenz; Learning Al
版次1
doihttps://doi.org/10.1007/3-540-60925-3
isbn_softcover978-3-540-60925-4
isbn_ebook978-3-540-49738-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1996
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https://doi.org/10.1007/b137383stem using a large number of connectionist and symbolic modules. Our system SCREEN learns a flat syntactic and semantic analysis of incremental streams of word hypothesis sequences. In this paper we focus on techniques for improving the quality of pruned hypotheses from a speech recognizer using aco
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