Textual Supportiveness Recognition Based on Combinations of Syntax Features for Automated Argument Generation

This paper describes a technique to recognize “supportiveness” of a given text for an argument topic object and a value. Given an argument topic object (o), a value (v), and a text fragment (t), supportiveness refers to whether t supports a hypothesis “o promotes/suppresses v” or not. For example, w...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Transactions of the Japanese Society for Artificial Intelligence 2016/11/01, Vol.31(6), pp.AI30-L_1-12
Hauptverfasser:	Sato, Misa, Yanai, Kohsuke, Yanase, Toshihiko, Miyoshi, Toshinori, Koreeda, Yuta, Niwa, Yoshiki
Format:	Artikel
Sprache:	eng ; jpn
Schlagworte:	argumentation Data mining debating artificial intelligence Employment Feature recognition Hypotheses natural language processing Object recognition Sentiment analysis Syntax text generation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!