This paper introduces a model for capturing the meaning of negated statements by
identifying the negated concepts and revealing the implicit positive meanings. A negated …

Dictionaries are important tools for language producers but they are rarely organized for an
easy access to words from concepts. Such access can be facilitated by the presence of …

Semantic representation of text is key to text understanding and reasoning. In this paper, we
present Polaris, Lymba's semantic parser. Polaris is a supervised semantic parser that given …

In this paper, we describe K-Extractor, a powerful NLP framework that provides integrated
and seamless access to structured and unstructured information with minimal effort. The K …

Extracting semantic relations from text is a preliminary step towards understanding the
meaning of text. The more semantic relations are extracted from a sentence, the better the …

Actionable Knowledge Discovery (AKD) is a crucial aspect of data mining that is gaining
popularity and being applied in a wide range of domains. This is because AKD can extract …

This paper presents a methodology to infer implicit semantic relations from verbargument
structures. An annotation effort shows implicit relations boost the amount of meaning …

Traditionally, the task of answering natural language questions has involved a keyword-
based document retrieval step, followed by in-depth processing of candidate answer …

This paper complements semantic role representations with spatial knowledge beyond
indicating plain locations. Namely, we extract where entities are (and are not) located, and …

This paper presents a framework to infer spatial knowledge from verbal semantic role
representations. First, we generate potential spatial knowledge deterministically. Second …