TREC-9 Experiments at Maryland: Interactive CLIR
Author(s) -
Douglas W. Oard,
GinaAnne Levow,
Clara I. Cabezas
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada456186
Subject(s) - computer science , information retrieval , r package , artificial intelligence , natural language processing , programming language
: The University of Maryland team participated in the TREC-9 Cross-Language Information Retrieval Track, with the goal of exploring evaluation paradigms for interactive cross-language retrieval. Participants were asked to examine gloss translations of highly ranked documents and make relevance judgments, and those judgments were used to produce a new ranked list in which documents assessed as relevant were promoted and those assessed as nonrelevant were demoted. No improvement over fully automatic ranking was found, which suggests that additional work on user interface design and evaluation metrics is required.
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