TY - GEN
T1 - An information retrieval approach based on discourse type
AU - Wang, D. Y.
AU - Luk, Wing Pong Robert
AU - Wong, K. F.
AU - Kwok, K. L.
PY - 2006/1/1
Y1 - 2006/1/1
N2 - In ad hoc information retrieval (IR), some information need (e.g., find the advantages and disadvantages of smoking) requires the explicit identification of information related to the discourse type (e.g., advantages/ disadvantages) as well as to the topic (e.g., smoking). Such information need is not uncommon and may not be satisfied by using conventional retrieval methods. We extend existing retrieval models by adding a re-ranking strategy based on a novel graph-based retrieval model using document contexts that are called information units (IU). For evaluation, we focused on a discourse type that appeared in a subset of TREC topics where the retrieval effectiveness achieved by our conventional retrieval models for those topics was low. We showed that our approach is able to enhance the retrieval effectiveness for the selected TREC topics. This shows that our preliminary investigation is promising and deserves further investigation.
AB - In ad hoc information retrieval (IR), some information need (e.g., find the advantages and disadvantages of smoking) requires the explicit identification of information related to the discourse type (e.g., advantages/ disadvantages) as well as to the topic (e.g., smoking). Such information need is not uncommon and may not be satisfied by using conventional retrieval methods. We extend existing retrieval models by adding a re-ranking strategy based on a novel graph-based retrieval model using document contexts that are called information units (IU). For evaluation, we focused on a discourse type that appeared in a subset of TREC topics where the retrieval effectiveness achieved by our conventional retrieval models for those topics was low. We showed that our approach is able to enhance the retrieval effectiveness for the selected TREC topics. This shows that our preliminary investigation is promising and deserves further investigation.
UR - http://www.scopus.com/inward/record.url?scp=33746762932&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
SN - 3540346163
SN - 9783540346166
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 197
EP - 202
BT - Natural Language Processing and Information Systems - 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Proceedings
PB - Springer Verlag
T2 - 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006
Y2 - 31 May 2006 through 2 June 2006
ER -