This paper argues for a two-level theory of semantics as opposed to a one-level theory, based on the example of the system of temporal and durationM connectives. Instead of identi...
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 suggests the efficient indexing method based on a concept vector space that is capable of representing the semantic content of a document. The two information measure,...
We present a domain-independent unsupervised topic segmentation approach based on hybrid document indexing. Lexical chains have been successfully employed to evaluate lexical cohe...
The paper proposes a Distributed Open Semantic Elaboration platform based on a modular multilingual enabled architecture, which includes ontology, annotations, lexical entities an...