There are a large number of tasks for which keyphrases can be useful. Manually identifying keyphrases can be a tedious and time consuming process that requires expertise, but if automated could save time and aid in creating metadata that could be used to locate knowledge sources. In this paper, the authors present an automated process for keyphrase extraction from email messages. The process en...

Ontologies are helpful in giving interoperable structures to sources of knowledge and information. This interoperability, however, is greatly hindered by the heterogeneity of independently developed ontologies which in turn increases the requirements for mediation systems to reconcile the differences. A core concepts ontology for a certain domain contained by a foundation ontology can be used t...

People are producing more written material then anytime in the history. The increase is so high that professionals from the various fields are no more able to cope with this amount of publications. Text mining tools can offer tools to help them and one of the tools that can aid information retrieval and information extraction is semantic text annotation. In this report we present Marvin, a text...

Program comprehension of legacy systems is a highly knowledge intensive task. One of the goal of reverse engineering is to propose automated help to relate application domain concepts to all their implementation instances. It is generally accepted that to do so requires analyzing such documentation as identifiers or comments. However, before attempting to perform this difficult analysis, it wou...

This paper presents the complete and consistent ontological annotation of the nominal part of WordNet. The annotation has been carried out using the semantic features defined in the EuroWordNet Top Concept Ontology and made available to the NLP community. Up to now only an initial core set of 1,024 synsets, the so-called Base Concepts, was ontologized in such a way. The work has been achieved b...

The topic of this paper is an ongoing effort to exploit combinations of existing natural language processing (NLP) resources in order to reach part-of-speech (POS) tagging performance in excess of that which any single resource is able to provide. The context of the effort is the ETAP project, a parallel translation corpus project funded by the Bank of Sweden Tercentenary Foundation. The aim of...

OBJECTIVES This paper proposes a novel semantic method for auditing associative relations in biomedical terminologies. We tested our methodology on two Unified Medical Language System (UMLS) knowledge sources. METHODS We use the UMLS semantic groups as high-level representations of the domain and range of relationships in the Metathesaurus and in the Semantic Network. A mapping created betwee...

MIT CSAIL’s entries for the TREC Question Answering track (Voorhees, 2005) focused on incorporating external general-knowledge sources into the question answering process. We also explored the effect of document retrieval on factoid question answering, in cooperation with a community focus on document retrieval. For the new relationship task, we present a new passage-retrieval based algorithm e...

We present a machine learning approach to robust textual inference, in which parses of the text and the hypothesis sentences are used to measure their asymmetric “similarity”, and thereby to decide if the hypothesis can be inferred. This idea is realized in two different ways. In the first, each sentence is represented as a graph (extracted from a dependency parser) in which the nodes are words...

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