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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2011
ACM
14 years 9 months ago
Inverted indexes for phrases and strings
Inverted indexes are the most fundamental and widely used data structures in information retrieval. For each unique word occurring in a document collection, the inverted index sto...
Manish Patil, Sharma V. Thankachan, Rahul Shah, Wi...
WWW
2011
ACM
15 years 1 months ago
OXPath: little language, little memory, great value
Data about everything is readily available on the web—but often only accessible through elaborate user interactions. For automated decision support, extracting that data is esse...
Andrew Jon Sellers, Tim Furche, Georg Gottlob, Gio...
WWW
2006
ACM
16 years 7 months ago
Searching with context
Contextual search refers to proactively capturing the information need of a user by automatically augmenting the user query with information extracted from the search context; for...
Reiner Kraft, Chi-Chao Chang, Farzin Maghoul, Ravi...
SIGIR
2008
ACM
15 years 6 months ago
Evaluation over thousands of queries
Information retrieval evaluation has typically been performed over several dozen queries, each judged to near-completeness. There has been a great deal of recent work on evaluatio...
Ben Carterette, Virgiliu Pavlu, Evangelos Kanoulas...
SIGIR
2005
ACM
16 years 13 days ago
Integrating word relationships into language models
In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the ind...
Guihong Cao, Jian-Yun Nie, Jing Bai