Abstract
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).
Originalsprog | Engelsk |
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Titel | SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval |
Antal sider | 10 |
Publikationsdato | 28 sep. 2012 |
Sider | 931-940 |
ISBN (Trykt) | 9781450316583 |
DOI | |
Status | Udgivet - 28 sep. 2012 |
Begivenhed | 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, USA Varighed: 12 aug. 2012 → 16 aug. 2012 |
Konference
Konference | 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 |
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Land/Område | USA |
By | Portland, OR |
Periode | 12/08/2012 → 16/08/2012 |
Sponsor | Assoc. Comput. Mach., Spec., Interest Group Inf. Retr. (ACM SIGIR) |