Opinion Question Answering (Opinion QA), which aims to find the authors' sentimental opinions on a specific target, is more challenging than traditional factbased question an...
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,...
This paper presents an annotation scheme for marking subjective content in meetings, specifically the opinions and sentiments that participants express as part of their discussion...
While traditional information extraction systems have been built to answer questions about facts, subjective information extraction systems will answer questions about feelings an...