Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions
Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
From frequency to meaning: Vector space models of semantics
Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …
our ability to give instructions to computers, the ability of computers to explain their actions to …
Improving distributional similarity with lessons learned from word embeddings
Recent trends suggest that neural-network-inspired word embedding models outperform
traditional count-based distributional models on word similarity and analogy detection tasks …
traditional count-based distributional models on word similarity and analogy detection tasks …
From word embeddings to document similarities for improved information retrieval in software engineering
The application of information retrieval techniques to search tasks in software engineering is
made difficult by the lexical gap between search queries, usually expressed in natural …
made difficult by the lexical gap between search queries, usually expressed in natural …
Word sense disambiguation: A survey
R Navigli - ACM computing surveys (CSUR), 2009 - dl.acm.org
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
[图书][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
Frege in space: A program for compositional distributional semantics
M Baroni, R Bernardi, R Zamparelli - Linguistic Issues in language …, 2014 - iris.unitn.it
The lexicon of any natural language encodes a huge number of distinct word meanings. Just
to understand this article, you will need to know what thousands of words mean. The space …
to understand this article, you will need to know what thousands of words mean. The space …
[图书][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
[PDF][PDF] Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
In this paper we describe two new objective automatic evaluation methods for machine
translation. The first method is based on longest common subsequence between a …
translation. The first method is based on longest common subsequence between a …
[HTML][HTML] Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities
Owing to the need for a deep understanding of linguistic items, semantic representation is
considered to be one of the fundamental components of several applications in Natural …
considered to be one of the fundamental components of several applications in Natural …