Passage-Based Refinement (MultiText Experiements for TREC-6)
نویسندگان
چکیده
The MultiText system retrieves passages, rather than entire documents, that are likely to be relevant to a particular topic. For all runs, we used the reciprocal of the length of each passage as an estimate of its likely relevance and ranked accordingly. For the manual adhoc task we explored the limits of user interaction by judging some 13,000 documents based on retrieved passages. For the automatic adhoc task we used retrieved passages as a feedback source for new query terms. For the routing task we estimated probability of relevance from passage length and used this estimate to construct a compound (tiered) query which was used to rank the new data using passage length. For the Chinese track we indexed individual characters rather than segmented words or bigrams and used manually constructed queries and passage-length ranking. For the high precision track we performed judgements on passages using an interface similar to that used for the manual adhoc task. The Very Large Collection run was done on a network of four cheap computers using very simple manually constructed queries and passage-length ranking.
منابع مشابه
Passage-based query refinement (MultiText experiments for TREC-6)
The MultiText information retrieval system nds passages of text, as opposed to complete documents, that are likely relevant to a particular topic. Passage retrieval provides the basis for the relevance ranking, term expansion, interactive user interface, and distributed searching used in the MultiText experiments for TREC-6. The essence of relevance ranking is that shorter passages containing a...
متن کاملFast Automatic Passage Ranking (MultiText Experiments for TREC-8)
TREC-8 represents the fth year that the MultiText project has participated in TREC [2, 1, 4, 5]. The MultiText project develops and prototypes scalable technologies for parallel information retrieval systems implemented on networks of workstations. Research issues are addressed in the context of this parallel architecture. Issues of concern to the MultiText Project include data distribution, lo...
متن کاملTask-Specific Query Expansion (MultiText Experiments for TREC 2003)
I. INTRODUCTION For TREC 2003 the MultiText Project focused its efforts on the Genomics and Robust tracks. We also submitted passage-retrieval runs for the QA track. For the Genomics Track primary task, we used an amalgamation of retrieval and query expansion techniques, including tiering, term rewriting and pseudo-relevance feedback. For the Robust Track, we examined the impact of pseudo-relev...
متن کاملAggressive Morphology and Lexical Relations for Query Expansion
Our submission to TREC this year is based on a combination of systems. The first is the conceptual indexing and retrieval system that was developed at Sun Microsystems Laboratories (Woods et al., 2000a; Woods et al., 2000b). The second is the MultiText system developed at the University of Waterloo (Clarke et al., 2000; Cormack et al., 2000). The conceptual indexing system was designed to help ...
متن کامل