Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Abstract. This paper reports on the development of a finite state system for finding grammar errors without actually specifying the error. A corpus of Swedish text written by chi...
Sylvana Sofkova Hashemi, Robin Cooper, Robert Ande...
Abstract. Various techniques for learning meronymy relationships from opendomain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate d...
Ashwin Ittoo, Gosse Bouma, Laura Maruster, Hans Wo...