Agreement: How to Reach it? Defining Language Features Leading to Agreement in Discourse

28844

Authors

nan

Abstract

Consensus is the desired result in many argu- mentative discourses such as negotiations, public debates, and goal-oriented forums. However, due to the fact that usually people are poor arguers, a support of argumentation is necessary. Web-2 provides means for the on- line discussions which have their characteristic features. In our paper we study the features of discourse which lead to agreement. We use an argumentative corpus of Wikipedia discus- sions in order to investigate the influence of discourse structure and language on the final agreement. The corpus had been annotated with rhetorical relations and rhetorical struc- tures leading to successful and unsuccessful discussions were analyzed. We also investi- gated language patterns extracted from the corpus in order to discover which ones are in- dicators of the following agreement. The re- sults of our study can be used in system de- signing, whose purpose is to assist on-line in- terlocutors in consensus building. 1

Keywords

nan

Full Content

Proceedings of Recent Advances in Natural Language Processing, pages 781–786, Hissar, Bulgaria, 12-14 September 2011. Agreement: How to Reach it? Defining Language Features Leading to Agreement in Dialogue Tatiana Zidraşco Technical University of Moldova tzidrashco@yahoo.com Victoria Bobicev Technical University of Moldova victoria.bobicev@rol.md Shun Shiramatsu Nagoya Institute of Technolo siramatu@toralab.ics.nitech.ac.jp Tadachika Ozono Nagoya Institute of Technology ozono@toralab.ics.nitech.ac.jp Toramatsu Shintani Nagoya Institute of Technology tora@toralab.ics.nitech.ac.jp Abstract Consensus is the desired result in many argu- mentative discourses such as negotiations, public debates, and goal-oriented forums. However, due to the fact that usually people are poor arguers, a support of argumentation is necessary. Web-2 provides means for the on- line discussions which have their characteristic features. In our paper we study the features of discourse which lead to agreement. We use an argumentative corpus of Wikipedia discus- sions in order to investigate the influence of discourse structure and language on the final agreement. The corpus had been annotated with rhetorical relations and rhetorical struc- tures leading to successful and unsuccessful discussions were analyzed. We also investi- gated language patterns extracted from the corpus in order to discover which ones are in- dicators of the following agreement. The re- sults of our study can be used in system de- signing, whose purpose is to assist on-line in- terlocutors in consensus building. 1 Introduction The issue of consensus building within discourse has become more substantial since the computer and web technologies offer vast opportunities for public debates, collaborative discussions, negotia- tions etc. In computational linguistics there have been numerous studies dedicated to discourse analysis, modelling and analysis of collaboration (Chu-Carroll and Carbery, 1998; Sidner 1994), negotiations (Sokolova et.al. 2004) and agree- ment process (Di Eugenio et al., 2000). Two important components of discourse stu- dies are representation of discourse structure and language. We investigated discourse structure in an attempt to find out how it can reflect success- ful or unsuccessful result of a web-discussion. Our aim was to determine structures of discourse representation that lead to consensus at the end of the discussion and structures that do not lead to consensus. We think these types of structures could help for better understanding of position and intentions of participants during agreement process. We performed our study using web- discussions (Wikipedia Talk pages, English lan- guage), where participants had as their goal to agree upon the editing policy of Wikipedia ar- ticles. To build up the discourse structure we used Rhetorical Structure Theory (RST) relations (Mann and Thomson, 1987). We then applied statistical analysis to our corpus of discussions annotated with 918 relations. As mentioned before, another important com- ponent of discourse analysis is language cue or better said those words and phrases used by the participants to directly indicate the structure of the argument to the other participants. After pre- liminary determination of some rhetorical struc- tures that could lead to consensus, we, as well, investigated how language reflects success or failure in our web-discussions. 781 2 Related works There have been a number of approaches of …

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Labeled Text

Consensus is the desired result in many argumentative discourses such as negotiations, public debates, and goal-oriented forums. However, due to the fact that usually people are poor arguers, a support of argumentation is necessary. Web-2 provides means for the online discussions which have their characteristic features. In our paper we study the features of discourse which lead to agreement. We use an argumentative corpus of Wikipedia discussions in order to investigate the influence of discourse structure and language on the final agreement. The corpus had been annotated with rhetorical relations and rhetorical structures leading to successful and unsuccessful discussions were analyzed. We also investigated language patterns extracted from the corpus in order to discover which ones are indicators of the following agreement. The results of our study can be used in system designing, whose purpose is to assist on-line interlocutors in consensus building. 1

Publication Details

Paper ID:
28844
Year:
2011
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan