TAILIEUCHUNG - Báo cáo khoa học: "Discourse chunking: a tool in dialogue act tagging"

Discourse chunking is a simple way to segment dialogues according to how dialogue participants raise topics and negotiate them. This paper explains a method for arranging dialogues into chunks, and also shows how discourse chunking can be used to improve performance for a dialogue act tagger that uses a case-based reasoning approach. applied to the DA tagging task. Their use amounts to a separate tagging task of its own, with the concomitant time-consuming corpus annotation. | Discourse chunking a tool in dialogue act tagging T. Daniel Midgley School of Computer Science and Software Engineering Discipline of Linguistics University of Western Australia dmidgley@ Abstract Discourse chunking is a simple way to segment dialogues according to how dialogue participants raise topics and negotiate them. This paper explains a method for arranging dialogues into chunks and also shows how discourse chunking can be used to improve performance for a dialogue act tagger that uses a case-based reasoning approach. 1 Dialogue act tagging A dialogue act hereafter DA is an encapsulation of the speaker s intentions in dialogue what the speaker is trying to accomplish by saying something. In DA tagging similar to part-of-speech tagging utterances in a dialogue are tagged with the most appropriate speech act from a tagset. DA tagging has application in NLP work including speech recognition and language understanding. The Verbmobil-2 corpus was used for this study with its accompanying tagset shown in Table . Much of the work in DA tagging Reithinger 1997 Samuel 2000 Stolcke et al. 2000 Wright 1998 uses lexical information the words or n -grams in an utterance and to a lesser extent syntactic and phonological information as with prosody . However there has traditionally been a lack of true discourse-level information in tasks involving dialogue acts. Discourse information is typically limited to looking at surrounding DA tags Reithinger 1997 Samuel 2000 . Unfortunately knowledge of prior DA tags does not always translate to an accurate guess of what s coming next especially when this information is imperfect. Theories about the structure of dialogue for example centering Grosz Joshi Weinstein 1995 and more recently Dialogue Macrogame Theory Mann 2002 have not generally been applied to the DA tagging task. Their use amounts to a separate tagging task of its own with the concomitant time-consuming corpus annotation. In this work I present the .

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