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CICLING
2005
Springer
13 years 11 months ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
TSD
2009
Springer
13 years 10 months ago
Combining Text Vector Representations for Information Retrieval
Abstract. This paper suggests a novel representation for documents that is intended to improve precision. This representation is generated by combining two central techniques: Rand...
Maya Carrillo, Chris Eliasmith, Aurelio Lóp...
SIGIR
2009
ACM
13 years 12 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
LREC
2008
107views Education» more  LREC 2008»
13 years 6 months ago
Learning-based Detection of Scientific Terms in Patient Information
In this paper, we investigate the use of a machine-learning based approach to the specific problem of scientific term detection in patient information. Lacking lexical databases w...
Véronique Hoste, Els Lefever, Klaar Vanopst...
CIKM
2005
Springer
13 years 11 months ago
Query expansion using term relationships in language models for information retrieval
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries...
Jing Bai, Dawei Song, Peter Bruza, Jian-Yun Nie, G...