Title :
Towards automatic recognition of the negotiation strategies: Analysis of human-human dialogues
Author_Institution :
Inst. of Comput. Sci., Univ. of Tartu, Tartu, Estonia
Abstract :
We investigate communicative strategies used by humans in negotiation dialogues. The empirical material of the study is a small sub-corpus of telemarketing calls. Our aim is to develop software for automatic pragmatic analysis of dialogues which can be used by linguists for recognition of dialogue acts, communicative strategies and the structure of a dialogue. The further aim is to implement the results in a dialogue system that interacts with a user in natural language and is intended for training negotiation skills of the user.
Keywords :
behavioural sciences computing; marketing; natural language processing; automatic negotiation strategies recognition; automatic pragmatic analysis; dialogue acts; human-human dialogues; natural language; negotiation dialogues; negotiation skills training; telemarketing calls; Artificial intelligence; Cascading style sheets; Companies; Context; Hidden Markov models; Training; Vectors; argumentation; communicative strategy; dialogue; dialogue act; negotiation; structure;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location :
Alberobello
Print_ISBN :
978-1-4799-3019-7
DOI :
10.1109/INISTA.2014.6873614
