Name
Title | ||
|---|---|---|
Statistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering — Experiments at NTCIR-6 |
Abstract | ||
|---|---|---|
In this paper, we propose a novel approach for Cross-Lingual Question Answering (CLQA), where the statistical machine translation (SMT) is utilized. In the proposed method, the SMT is deeply incorpo- rated into the question answering process, instead of using it as the pre-processing of the mono-lingual QA process as in the previous work. The proposed method can be considered as exploiting the SMT-based pas- sage retrieval for CLQA task. Our experimental re- sults targeting the English-to-Japanese CLQA using the NTCIR CLQA 1 and 2 test collections showed that the proposed method outperformed the previous pre- translation approach. |
Year | Venue | Field |
|---|---|---|
2007 | NTCIR | Cross lingual,Question answering,Information retrieval,Computer science,Machine translation,Artificial intelligence,Natural language processing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomoyosi Akiba | 1 | 176 | 29.08 |
| Kei Shimizu | 2 | 3 | 1.10 |
| Atsushi Fujii | 3 | 486 | 59.25 |
| Katunobu Itou | 4 | 319 | 44.36 |