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» Query Expansion for Noisy Legal Documents
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TREC
2008
13 years 6 months ago
Query Expansion for Noisy Legal Documents
The vocabulary of the TREC Legal OCR collection is noisy and huge. Standard techniques for improving retrieval performance such as content-based query expansion are ineffective fo...
Lidan Wang, Douglas W. Oard
ACL
2009
13 years 2 months ago
A Generative Blog Post Retrieval Model that Uses Query Expansion based on External Collections
User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user's in...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
CIKM
2009
Springer
13 years 11 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
SIGIR
2012
ACM
11 years 7 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
TREC
2008
13 years 6 months ago
TREC 2008 at the University at Buffalo: Legal and Blog Track
In the TREC 2008, the team from the State University of New York at Buffalo participated in the Legal track and the Blog track. For the Legal track, we worked on the interactive s...
Jianqiang Wang, Ying Sun, Omar Mukhtar, Rohini K. ...