| W08-1406 | impacts the summarization task . | Topic indexing | is based on a hierarchically |
| W08-1809 | as document retrieval . <title> | Topic Indexing | and Retrieval for Factoid QA |
| W08-1809 | we have presented the method of | Topic Indexing | and Retrieval for QA . The method |
| W08-1809 | carried out to determine whether | Topic Indexing | and Retrieval using a simple |
| W08-1809 | advantage of question topics within | Topic Indexing | and Retrieval , we have adopted |
| W08-1406 | modules . The topic segmentation and | topic indexing | modules were developed by Amaral |
| W08-1406 | used by the topic segmentation , | topic indexing | , and ti - tle & summarization |
| N09-1040 | multinomial Byt , where yt is a hidden | topic indexing | the language model that generates |
| W08-1809 | Bonnie Abstract The method of | Topic Indexing | and Retrieval for QA persented |
| W08-1809 | evidence is ag - gregated . In | Topic Indexing | and Retrieval , all the evidence |
| W00-0504 | free-text ( i.e. , without manual | topic indexing | ) was reported in 1990 -LSB- |
| P01-1002 | video segmentation and automatic | topic indexing | to develop an automatic media |
| acl-2001-inv1 | video segmentation and automatic | topic indexing | to develop an automatic media |
| W08-1809 | paper , we present a method , | Topic Indexing | and Retrieval for QA , that turns |
| W08-1809 | this paper 's central method , | Topic Indexing | and Retrieval for Question Answering |
