This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and ...
The problem of the relevance and the usefulness of extracted association rules is becoming of primary importance, since an overwhelming number of association rules may be derived f...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
This linguistically motivated work addresses issues in reasoning intelligently over spatial descriptions of simple, static scenes to produce plausible graphical interpretations. I...
This paper proposes a set of representations for tenses and a set of constraints on how they can be combined in adjunct clauses. The semantics we propose explains the possible mea...
This paper examines efficient predictive broadcoverage parsing without dynamic programming. In contrast to bottom-up methods, depth-first top-down parsing produces partial parses ...