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Research into corpus-based semantics has focused on the development of ad hoc models that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled by extracting diff...
This article aims to present a set of discourse structure relations that are easy to code and to develop criteria for an appropriate data structure for representing these relations. Discourse struct...
CorMet is a corpus-based system for discovering metaphorical mappings between concepts. It does this by finding systematic variations in domain-specific selectional preferences, which are...
In this paper we compare pronoun resolution algorithms and introduce a centering algorithm (LefRight Centering) that adheres to the constraints and rules of centering theory and is an alternative to ...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by computer programs via comparing the structures of the ontologies and the linguistic semantics of th...
This paper proposes a novel two-layer approach to fundamental frequency modeling for concatenative speech synthesis based on a statistical learning technique called additive models. We define an addit...
This article presents a seven-step corpus-based approach to discourse analysis that starts with a detailed analysis of each individual text in a corpus that can then be generalized across all texts of...
This paper illustrates compiling a corpus of academic texts from the disciplines of economics and business administration, as the basis for designing a lexical component of the English for Academic ...
Most current ESL textbooks discuss how to 'make comparisons' in English. This is typically accomplished by teaching the comparative form of the adjective generally directly followed by a 'than' clause...
In this paper, a corpus-base approach is presented in the construction of the information science and technology term bank in which domain classification, reference and part of the definition are extr...

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