Please use this identifier to cite or link to this item: https://doi.org/10.1145/2063576.2063998
Title: Predicting the uncertainty of sentiment adjectives in indirect answers
Authors: Mohtarami, M.
Amiri, H.
Lan, M.
Tan, C.L. 
Keywords: ambiguous sentiment adjectives
indirect yes/no question-answer pairs
sentiment ambiguity
sentiment analysis
Issue Date: 2011
Source: Mohtarami, M.,Amiri, H.,Lan, M.,Tan, C.L. (2011). Predicting the uncertainty of sentiment adjectives in indirect answers. International Conference on Information and Knowledge Management, Proceedings : 2485-2488. ScholarBank@NUS Repository. https://doi.org/10.1145/2063576.2063998
Abstract: Opinion question answering (QA) requires automatic and correct interpretation of an answer relative to its question. However, the ambiguity that often exists in the question-answer pairs causes complexity in interpreting the answers. This paper aims to infer yes/no answers from indirect yes/no question-answer pairs (IQAPs) that are ambiguous due to the presence of ambiguous sentiment adjectives. We propose a method to measure the uncertainty of the answer in an IQAP relative to its question. In particular, to infer the yes or no response from an IQAP, our method employs antonyms, synonyms, word sense disambiguation as well as the semantic association between the sentiment adjectives that appear in the IQAP. Extensive experiments demonstrate the effectiveness of our method over the baseline. © 2011 ACM.
Source Title: International Conference on Information and Knowledge Management, Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41401
ISBN: 9781450307178
DOI: 10.1145/2063576.2063998
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