Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
This paper describes the development of a semantic web and ontology based local search system that can be used in wireless mobile communication services. Categories and Subject De...
We propose a novel method for extracting semantic information about a verb's arguments and apply it to Verb Sense Disambiguation (VSD). We contrast this method with two popul...
Prosody can be useful in resolving certain lexical and structural ambiguities in spoken English. In this paper we present some results of employing two types of prosodic informati...
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...