Rhetorical relations for information retrieval
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Rhetorical relations for information retrieval. / Lioma, Christina; Larsen, Birger; Lu, Wei.
Proceedings of the 35th international ACM SIGIR conference on Research and Development in Information Retrieval. Association for Computing Machinery, 2012. p. 931-940.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Rhetorical relations for information retrieval
AU - Lioma, Christina
AU - Larsen, Birger
AU - Lu, Wei
N1 - Conference code: 35
PY - 2012
Y1 - 2012
N2 - Typically, every part in most coherent text has some plausible reason for its presence, some function that it performs to the overall semantics of the text. Rhetorical relations, e.g. contrast, cause, explanation, describe how the parts of a text are linked to each other. Knowledge about this so-called discourse structure has been applied successfully to several natural language processing tasks. This work studies the use of rhetorical relations for Information Retrieval (IR): Is there a correlation between certain rhetorical relations and retrieval performance? Can knowledge about a document’s rhetorical relations be useful to IR?We present a language model modification that considers rhetorical relations when estimating the relevance of a document to a query. Empirical evaluation of different versions of our model on TREC settings shows that certain rhetorical relations can benefit retrieval effectiveness notably (> 10%in mean average precision over a state-of-the-art baseline).
AB - Typically, every part in most coherent text has some plausible reason for its presence, some function that it performs to the overall semantics of the text. Rhetorical relations, e.g. contrast, cause, explanation, describe how the parts of a text are linked to each other. Knowledge about this so-called discourse structure has been applied successfully to several natural language processing tasks. This work studies the use of rhetorical relations for Information Retrieval (IR): Is there a correlation between certain rhetorical relations and retrieval performance? Can knowledge about a document’s rhetorical relations be useful to IR?We present a language model modification that considers rhetorical relations when estimating the relevance of a document to a query. Empirical evaluation of different versions of our model on TREC settings shows that certain rhetorical relations can benefit retrieval effectiveness notably (> 10%in mean average precision over a state-of-the-art baseline).
U2 - 10.1145/2348283.2348407
DO - 10.1145/2348283.2348407
M3 - Article in proceedings
SP - 931
EP - 940
BT - Proceedings of the 35th international ACM SIGIR conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery
T2 - 35th International ACM SIGIR Conference on Research and Development in Information Retrieval
Y2 - 12 August 2012 through 16 August 2012
ER -
ID: 38240033