UMass at TREC 2002: Cross Language and Novelty Tracks

The University of Michigan at TREC 2002: Question Answering and Novelty Tracks

The University of Amsterdam at TREC 2002

We describe our participation in the TREC 2002 Novelty, Question answering, and Web tracks. We provide a detailed account of the ideas underlying our approaches to these tasks. All our runs used the FlexIR information retrieval system.

Sentence Level Information Patterns for Novelty Detection

SENTENCE LEVEL INFORMATION PATTERNS FOR NOVELTY DETECTION JULY 2006 XIAOYAN LI, B.E. TSINGHUA UNIVERSITY M.E., TSINGHUA UNIVERSITY Ph.D. UNIVERSITY OF MASSACHUSETTS AT AMHERST Directed by: Professor W. Bruce Croft The detection of new information in a document stream is an important component of many potential applications. In this thesis, a new novelty detection approach based on the identific...

An information-pattern-based approach to novelty detection

In this paper, a new novelty detection approach based on the identification of sentence level information patterns is proposed. First, ‘‘novelty’’ is redefined based on the proposed information patterns, and several different types of information patterns are given corresponding to different types of users’ information needs. Second, a thorough analysis of sentence level information patterns is...

Cross-Language Spoken Document Retrieval on the TREC SDR Collection

This paper presents preliminary experiments on crosslanguage spoken document retrieval (SDR) carried out on a benchmark assembled at ITC-irst. The benchmark is based on resources used in the last two spoken document retrieval tracks at the TREC conference, which are available on the Internet. They include automatic transcripts of American English broadcast news, short topics written in English,...