GUCAS at TREC 2011 Microblog Track
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چکیده
The aim of GUCAS’s participation in the Microblog track this year is to evaluate the effectiveness of probabilistic retrieval models in combination with various sources of evidence for relevance in the context of the Twitter corpus. In our official runs, we use the PL2F field-based model as the baseline, on top of which query expansion is also applied. In addition, a supplement model combining recency, authority and URL length is developed to retrieve authoritative and timely tweets. Finally, a language filter is used to remove non-English tweets. Our experimental results show that the language filter and URL length filter can benefit the most the retrieval effectiveness. In the following-up experiments, it demonstrates that the results applying the basic models improve siginificantly after removing the retweets in the preliminary results.
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تاریخ انتشار 2011