Name
Title | ||
|---|---|---|
Towards Speech-Driven Question Answering: Experiments Using the NTCIR-3 Question Answering Collection. |
Abstract | ||
|---|---|---|
We developed a method for producing statistical language models for speech-driven question answer- ing, which recognizes spoken questions with high ac- curacy. Our method uses a target collection (i.e., a document set from which answers are derived) to extract N-grams, and adapts them to the question- answering task by way of frozen patterns typically used in interrogative questions. In addition, our method magnifies N-gram statistics corresponding to frozen patterns in the original N-gram. For the pur- pose of experiments, we used dictated questions in the NTCIR-3 QAC test collection, and showed that our method outperformed a conventional language model adaptation method in terms of the speech recognition accuracy. |
Year | Venue | Keywords |
|---|---|---|
2002 | NTCIR | question answering,speech recognition |
Field | DocType | Citations |
Question answering,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Language model,Interrogative | Conference | 2 |
PageRank | References | Authors |
0.49 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomoyosi Akiba | 1 | 176 | 29.08 |
| Katunobu Itou | 2 | 319 | 44.36 |
| Atsushi Fujii | 3 | 486 | 59.25 |
| Tetsuya Ishikawa | 4 | 226 | 30.46 |