tailieunhanh - Báo cáo khoa học: "Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications"

This opinion paper discusses subjective natural language problems in terms of their motivations, applications, characterizations, and implications. It argues that such problems deserve increased attention because of their potential to challenge the status of theoretical understanding, problem-solving methods, and evaluation techniques in computational linguistics. The author supports a more holistic approach to such problems; a view that extends beyond opinion mining or sentiment analysis. | Subjective Natural Language Problems Motivations Applications Characterizations and Implications Cecilia Ovesdotter Alm Department of English College of Liberal Arts Rochester Institute of Technology coagla@ Abstract This opinion paper discusses subjective natural language problems in terms of their motivations applications characterizations and implications. It argues that such problems deserve increased attention because of their potential to challenge the status of theoretical understanding problem-solving methods and evaluation techniques in computational linguistics. The author supports a more holistic approach to such problems a view that extends beyond opinion mining or sentiment analysis. 1 Introduction Interest in subjective meaning and individual interpersonal or social poetic creative and affective dimensions of language is not new to linguistics or computational approaches to language. Language analysts including computational linguists have long acknowledged the importance of such topics Buhler 1934 Lyons 1977 Jakobson 1996 Halliday 1996 Wiebe et al 2004 Wilson et al 2005 . In computational linguistics and natural language processing NLP current efforts on subjective natural language problems are concentrated on the vibrant field of opinion mining and sentiment analysis Liu 2010 Tackstrom 2009 and ACL-HLT 2011 lists Sentiment Analysis Opinion Mining and Text Classification as a subject area. The terms subjectivity or subjectivity analysis are also established in the NLP literature to cover these topics of growing inquiry. The purpose of this opinion paper is not to provide a survey of subjective natural language prob 107 lems. Rather it intends to launch discussions about how subjective natural language problems have a vital role to play in computational linguistics and in shaping fundamental questions in the field for the future. An additional point of departure is that a continuing focus on primarily the fundamental distinction of facts vs. .