Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user...
This paper proposes a Japanese/English crosslanguage information retrieval (CLIR) system targeting technical documents. Our system first translates a given query containing techni...
In order to solve medical multimodal queries, we propose to split the queries in different dimensions using ontology. We extract both textual and visual terms depending on the ont...
—In many search domains, both contents and searches are frequently tied to named entities such as a person, a company or similar. An example of such a domain is a news archive. O...
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...