Semantic Matching in Search

To address this issue, we propose a new semantic question answering approach combining Natural Language Processing (NLP) methods and Semantic Web techniques to analyze user’s

automation of generating metadata files describing the semantic representation of a web page; semantic network construction for a given set of texts; semantic search execution for

In this talk, I will describe our work on the search for emotions in language – by humans (through data annotation projects) and by machines (in automatic emotion detection systems)..

Prior research structured the knowledge based question answering as a semantic parsing problem: to parse the natural language question into a sub-graph of entities, relations and

With large, full text databases now commonplace, both IR and bibliometrics have also benefitted from developments in natural language processing (NLP) and

”Given that the structure of an econometric model consist of optimal decision rules of economic agents, and that optimal decision rule vary systematically with change in the

Unlike other information retrieval tasks, in non-factoid Question Answering the linguistic analysis of both questions and candidate answers (usually short passages) has proven to

In the CLEF 2005 Ad-Hoc Track we experimented with language-specific morphosyntactic processing and light Natural Language Processing (NLP) for the retrieval of Bulgarian,