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» AnswerFinder at TREC 2004
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TREC
2004
14 years 11 months ago
Question Answering by Searching Large Corpora With Linguistic Methods
In this paper we describe the QuALiM Question Answering system which uses linguistic analysis of questions as well as candidate sentences in its answer finding process. To this en...
Michael Kaißer, Tilman Becker
AIRS
2005
Springer
15 years 3 months ago
Finding New News: Novelty Detection in Broadcast News
The automatic detection of novelty, or newness, as part of an information retrieval system would greatly improve a searcher’s experience by presenting “documents” in order of...
Georgina Gaughan, Alan F. Smeaton
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
TREC
2004
14 years 11 months ago
Evolving XML and Dictionary Strategies for Question Answering and Novelty Tasks
CL Research participated in the question answering and novelty tracks in TREC 2004. The Knowledge Management System (KMS), which provides a single interface for question answering...
Kenneth C. Litkowski
TREC
2004
14 years 11 months ago
Conceptual Language Models for Context-Aware Text Retrieval
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
Henning Rode, Djoerd Hiemstra