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COLING
2008
14 years 11 months ago
A Scalable MMR Approach to Sentence Scoring for Multi-Document Update Summarization
We present SMMR, a scalable sentence scoring method for query-oriented update summarization. Sentences are scored thanks to a criterion combining query relevance and dissimilarity...
Florian Boudin, Marc El-Bèze, Juan Manuel T...
IJCNLP
2005
Springer
15 years 2 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
ACL
2006
14 years 10 months ago
Topic-Focused Multi-Document Summarization Using an Approximate Oracle Score
We consider the problem of producing a multi-document summary given a collection of documents. Since most successful methods of multi-document summarization are still largely extr...
John M. Conroy, Judith D. Schlesinger, Dianne P. O...
EMNLP
2009
14 years 7 months ago
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
Jingjing Liu, Stephanie Seneff