Name
Abstract | ||
|---|---|---|
In the TREC 2008, the team from the State University of New York at Bualo participated in the Legal track and the Blog track. For the Legal track, we worked on the interactive search task using the Web-based Legacy Tobacco Document Library Boolean search system. Our experiment achieved reasonable precision but suered signicantly from low recall. These results, together with the appealing and adjudica- tion results, suggest that the concept of document relevance in legal e-discovery deserve further investigation. For the Blog distillation task, our ocial runs were based on a re- duced document model in which only text from several most content-bearing elds were indexed. This approach indeed yielded encouraging retrieval eectiveness while signi- cantly decreasing the index size. We also studied query independence/dependence and link-based features for nding relevant feeds. For the Blog opinion and polarity tasks, we mainly investigated the usefulness of opinionated words contained in the SentiGI lexicon. Our experiment results showed that the eectiveness of the technique is quite limited, indicating other more sophisticated techniques are needed. |
Year | Venue | Keywords |
|---|---|---|
2008 | TREC | polarity,queueing theory,internet,recall,information retrieval,indexes,feature extraction,precision,indexation,semantics,reduction |
Field | DocType | Citations |
Data mining,Computer science,Document model,Artificial intelligence,Adjudication,Natural language processing,Interactive search,The Internet,Information retrieval,Lexicon,Boolean algebra,Recall,Semantics | Conference | 3 |
PageRank | References | Authors |
0.42 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiang Wang | 1 | 8 | 3.40 |
| Ying Sun | 2 | 41 | 13.51 |
| Omar Mukhtar | 3 | 15 | 3.51 |
| Rohini K. Srihari | 4 | 835 | 109.11 |