| D13-1064 | uses machine translation on a | cross-lingual question answering | task . We also show how to use |
| S12-1065 | language is involved , such as | cross-lingual question answering | or cross-lingual information |
| W06-1905 | English-to-Chinese and English-to - Japanese | cross-lingual question answering | ( CLQA ) . We also attempt to |
| W06-0603 | such as Machine Translation , | Cross-lingual Question Answering | ( CLQA ) , and Multi-lingual |
| P14-1011 | cross-lingual tasks , such as | cross-lingual question answering | , since the semantic similarity |
| H01-1021 | first step towards our goal of | cross-lingual question answering | , we investigated whether the |
| D13-1064 | similar to previous approaches to | cross-lingual question answering | such as Ahn et al. ( 2004 ) . |
| D13-1064 | Setup We evaluate our system on a | cross-lingual question answering | task , similar to monolingual |
| H01-1021 | important first step in developing a | cross-lingual question answering | system is to understand whether |
| P14-1011 | other cross-lingual tasks ( e.g. | cross-lingual question answering | ) and monolingual applications |
| W15-3057 | resource , the task is called | cross-lingual question answering | ( CLQA ) ( Magnini et al. , 2004 |
| W09-3107 | improve information redundancy in | cross-lingual question answering | ; the outlier ( mis-aligned ) |
| P14-1083 | natural language processing such as | cross-lingual question answering | or cross-lingual information |
| W06-1904 | follows : <title> Evaluation and of | Cross-Lingual Question Answering | Strategies </title> Ligozat Grau |
| W15-3057 | Machine Translation Evaluation in | Cross-lingual Question Answering | </title> Kyoshiro Sugiyama Masahiro |
