ECIR
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from se...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we describe an extractive method of creating very short summaries or gists that capture the essence of a news story using a linguistic technique called lexical chaini...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (f...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
Automatic open domain question answering (QA) has been the focus of much recent research, stimu
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
This paper argues that a new paradigm for information retrieval has evolved that incorporates human attention and mental effort and takes advantage of new types of information obje...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper we report on a series of experiments investigating the path from text summarisation to style-specific summarisation of spoken news stories. We show that the...
ECIR
2004
Springer
14 years 1 months ago
2004
Springer
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...