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This paper presents an approach for detecting semantic relations in noun phrases. A learning algorithm, called semantic scattering, is used to automatically label complex nominals, genitives and adjectival noun phrases with the corresponding semantic relation. 1 Problem description This paper is about the automatic labeling of semantic relations in noun(More)
Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articles. This paper presents three settings where temporal reasoning aids machine learned classifiers of temporal relations: (1) expansion of the dataset used for learning; (2) detection(More)
This paper reports on LCC’s participation at the Third PASCAL Recognizing Textual Entailment Challenge. First, we summarize our semantic logical-based approach which proved successful in the previous two challenges. Then we highlight this year’s innovations which contributed to an overall accuracy of 72.25% for the RTE 3 test data. The novelties include new(More)
A variety of factors contribute to a tag being assigned by a user to a document that he or she bookmarked. Textual information present in a URL’s title, a user’s description of a document, or a bibtex field associated with a scientific publication are sources for automatically recommending tags relevant for a given bookmark. Lymba’s submission for the(More)
Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword-based search, faceted search, question-answering, etc. are some of the automated methodologies that have been used to help analysts in their tasks. General-purpose and(More)