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» Identifying comparative sentences in text documents
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INTERSPEECH
2010
13 years 3 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
14 years 1 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
EMNLP
2009
13 years 6 months ago
Chinese Novelty Mining
Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocess...
Yi Zhang, Flora S. Tsai
IIR
2010
13 years 10 months ago
Sentence-Based Active Learning Strategies for Information Extraction
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
DGO
2007
152views Education» more  DGO 2007»
13 years 10 months ago
Identifying and classifying subjective claims
To understand the subjective documents, for example, public comments on the government’s proposed regulation, opinion identification and classification is required. Rather than ...
Namhee Kwon, Liang Zhou, Eduard H. Hovy, Stuart W....