Semantic relations in knowledge representation characterizes the association between concepts of a domain. Concepts are units and relationships that link these units, which gives meaning to as represented. In this way, semantic allow users assimilate purpose presentational context, avoiding misinterpretation information, mainly presented instruments representation.The objective paper is propose...

This chapter presents a survey of contemporary NLP research on Multiword Expressions (MWEs). MWEs pose a huge problem to precise language processing due to their idiosyncratic nature and diversity of their semantic, lexical, and syntactical properties. The chapter begins by considering MWEs definitions, describes some MWEs classes, indicates problems MWEs generate in language applications and t...

This paper presents a lexical model dedicated to the semantic representation and interpretation of individual words in unrestricted text, where sense discrimination is difficult to assess. We discuss the need of a lexicon including local inference mechanisms and cooperating with as many other knowledge sources (about syntax, semantics and pragmatics) as possible. We suggest a minimalist represe...

We investigate the semantic relationship between a noun and its adjectival modifiers. We introduce a class of probabilistic models that enable us to to simultaneously capture both the semantic similarity of nouns and modifiers, and adjective-noun selectional preference. Through a combination of novel and existing evaluations we test the degree to which adjective-noun relationships can be catego...

1.1 The Task D o m a i n Here we address the problem of mapping phrase meanings into their conceptual representations. Figurative phrases are pervasive in human communication, yet they are difficult to explain theoretically. In fact, the ability to handle idiosyncratic behavior of phrases should be a criterion for any theory of lexical representation. Due to the huge number of such phrases in t...

Semantic Representation 2 This chapter deals with how word meaning is represented by speakers of a language, reviewing psychological perspectives on the representation of meaning. We start by outlining four key issues in the investigation of word meaning, then we introduce current theories of semantics and we end with a brief discussion of new directions. Meaning representation has long interes...

In recent years, there has been renewed interest in the NLP community in genuine language understanding and dialogue. Thus the long-standing issue of how the semantic content of language should be represented is reentering the communal discussion. This paper provides a brief “opinionated survey” of broadcoverage semantic representation (SR). It suggests multiple desiderata for such representati...

Pustejovsky, J. and B. Boguraev, Lexical knowledge representation and natural language processing, Artificial Intelligence 63 (1993) 193-223. Traditionally, semantic information in computational lexicons is limited to notions such as selectional restrictions or domain-specific constraints, encoded in a "static" representation. This information is typically used in natural language processing by...

This document reports on research conducted at the University of Maryland for the Korean/English Machine Translation (MT) project. The translation approach adopted here is interlingual i.e., a single underlying representation called Lexical Conceptual Structure (LCS) is used for both Korean and English. The primary focus of this investigation concerns the notion of`parameterization' i.e., a mec...