QUANTUM: A Function-Based Question Answering System
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A machine learning approach for Indonesian question answering system
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
The UNL initiative: an overview
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
UNL as a text content representation language for information extraction
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Cross-lingual Romanian to english question answering at CLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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Information extraction systems have been dealt with at length from the viewpoint of users posing definite questions whose expected answer is to be found in a document collection. This has been tackled by means of systems that analyse the user query and try to use the grammar features of each language to find a possible answer. This approach has failed to work for users of other languages or for documents in different languages, save for a few languages for which the query can be machine translated to the target language or all languages. Where there are more languages, however, this approach is impracticable for information extraction in a reasonable time. The massively multilingual approach ( 6 languages) necessarily involves the language-independent representation of the contents, that is, using an interlingua. This paper reports a promising early trial of a method that launches a query in any language against a language-independent representation of the document set using a general-purpose UNL interlingua and receives a precise response.