文章基本信息

标题：Classifying Semantic Clause Types With Recurrent Neural Networks: Analysis of Attention, Context & Genre Characteristics
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作者：Maria Becker ; Michael Staniek ; Vivi Nastase 等
期刊名称：Traitement Automatique des Langues
印刷版ISSN：1248-9433
电子版ISSN：1965-0906
出版年度：2018
卷号：59
期号：2
页码：1-34
语种：French
出版社：ATALA - Assoc Traitement Automatique Langues
其他摘要：Detecting aspectual properties of clauses in the form of semantic clause types has been shown to depend on a combination of syntactic-semantic and contextual features. We explore this task in a deep-learning framework, where tuned word representations capture linguistic features. We introduce an attention mechanism that pinpoints relevant context information. Our model implicitly captures task-relevant features and avoids the need to reproduce explicit linguistic features for other languages.We present experiments for English and German that achieve competitive performance, and analyze the outputs of our systems from a linguistic point of view. We present a novel take on modeling and exploiting genre information and showcase the adaptation of our system from one language to another.