A metric for assessing the e~mplemlty of mmmntic (and pragmatic) analysis in natural language processing is proposed as part of a general applied theory of linguistic semantics for NLP. The theory is intended as a complete projection of linguistic semantics onto NLP and is designed as sa exhaustive list of possible choices among strategies of aementlc analysis at each level, from the word to the entire text. The alternatives are summarized in a chart, w~ch can be ccmpleted for each existing or projected MLP system. The remaining components of the applied theory are also outlined. i. Goal The immediate goal of the paper is to explore the alternative choices in the analysis of meaning in natura
Over the past two decades, researchers have made great advances in the area of computational methods...
In order to model human understanding of natural language, it is necessary to represent the knowledg...
As communication between humans and machines in natural language still seems essential, especially f...
A metric for assessing the e~mplemlty of mmmntic (and pragmatic) analysis in natural language proces...
Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic a...
Semantics is concerned with meaning: what meanings are, how meanings are assigned to words, phrases ...
What follows is a very condensed presentation of an approach to the study and description of natural...
Broadly, the subject of this paper is the relation between logic and linguistics. More narrowly, it ...
What’s the best way to assess the performance of a semantic component in an NLP system? Tradition in...
The aim of this study was to determine whether some of the approaches of lexical semantics for study...
Natural Language Processing (NLP) is the computerized approach to analyzing text that is based on bo...
The use of figurative language is ubiquitous in natural language texts and it is a serious bottlenec...
The field of natural language processing (aka NLP) is an intersection of the study of linguistics, c...
Metric systems for semantics, or semantic cognitive maps, are allocations of words or other represen...
International audienceIn line with the increasing use of empirical methods in Cognitive Linguistics,...
Over the past two decades, researchers have made great advances in the area of computational methods...
In order to model human understanding of natural language, it is necessary to represent the knowledg...
As communication between humans and machines in natural language still seems essential, especially f...
A metric for assessing the e~mplemlty of mmmntic (and pragmatic) analysis in natural language proces...
Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic a...
Semantics is concerned with meaning: what meanings are, how meanings are assigned to words, phrases ...
What follows is a very condensed presentation of an approach to the study and description of natural...
Broadly, the subject of this paper is the relation between logic and linguistics. More narrowly, it ...
What’s the best way to assess the performance of a semantic component in an NLP system? Tradition in...
The aim of this study was to determine whether some of the approaches of lexical semantics for study...
Natural Language Processing (NLP) is the computerized approach to analyzing text that is based on bo...
The use of figurative language is ubiquitous in natural language texts and it is a serious bottlenec...
The field of natural language processing (aka NLP) is an intersection of the study of linguistics, c...
Metric systems for semantics, or semantic cognitive maps, are allocations of words or other represen...
International audienceIn line with the increasing use of empirical methods in Cognitive Linguistics,...
Over the past two decades, researchers have made great advances in the area of computational methods...
In order to model human understanding of natural language, it is necessary to represent the knowledg...
As communication between humans and machines in natural language still seems essential, especially f...