TAILIEUCHUNG - Báo cáo khoa học: "Incorporating Extra-linguistic Information into Reference Resolution in Collaborative Task Dialogue"

This paper proposes an approach to reference resolution in situated dialogues by exploiting extra-linguistic information. Recently, investigations of referential behaviours involved in situations in the real world have received increasing attention by researchers (Di Eugenio et al., 2000; Byron, 2005; van Deemter, 2007; Spanger et al., 2009). In order to create an accurate reference resolution model, we need to handle extra-linguistic information as well as textual information examined by existing approaches (Soon et al., 2001; Ng and Cardie, 2002, etc.). . | Incorporating Extra-linguistic Information into Reference Resolution in Collaborative Task Dialogue Ryu Iida Shumpei Kobayashi Takenobu Tokunaga Tokyo Institute of Technology 2-12-1 Ookayama Meguro Tokyo 152-8552 Japan ryu-i skobayashi take @ Abstract This paper proposes an approach to reference resolution in situated dialogues by exploiting extra-linguistic information. Recently investigations of referential behaviours involved in situations in the real world have received increasing attention by researchers Di Eugenio et al. 2000 Byron 2005 van Deemter 2007 Spanger et al. 2009 . In order to create an accurate reference resolution model we need to handle extra-linguistic information as well as textual information examined by existing approaches Soon et al. 2001 Ng and Cardie 2002 etc. . In this paper we incorporate extra-linguistic information into an existing corpus-based reference resolution model and investigate its effects on reference resolution problems within a corpus of Japanese dialogues. The results demonstrate that our proposed model achieves an accuracy of for this task. 1 Introduction The task of identifying reference relations including anaphora and coreferences within texts has received a great deal of attention in natural language processing from both theoretical and empirical perspectives. Recently research trends for reference resolution have drastically shifted from handcrafted rule-based approaches to corpus-based approaches due predominately to the growing success of machine learning algorithms such as Support Vector Machines Vapnik 1998 many researchers have examined ways for introducing various linguistic clues into machine learning-based models Ge et al. 1998 Soon et al. 2001 Ng and Cardie 2002 Yang et al. 2003 Iida et al. 2005 Yang et al. 2005 Yang et al. 2008 Poon and Domingos 2008 etc. . Research has continued to progress each year focusing on tackling the problem as it is represented in the annotated data sets .

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