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 …
Distributional semantics and linguistic theory
G Boleda - Annual Review of Linguistics, 2020 - annualreviews.org
Distributional semantics provides multidimensional, graded, empirically induced word
representations that successfully capture many aspects of meaning in natural languages, as …
representations that successfully capture many aspects of meaning in natural languages, as …
Climbing towards NLU: On meaning, form, and understanding in the age of data
The success of the large neural language models on many NLP tasks is exciting. However,
we find that these successes sometimes lead to hype in which these models are being …
we find that these successes sometimes lead to hype in which these models are being …
Towards universal paraphrastic sentence embeddings
We consider the problem of learning general-purpose, paraphrastic sentence embeddings
based on supervision from the Paraphrase Database (Ganitkevitch et al., 2013). We …
based on supervision from the Paraphrase Database (Ganitkevitch et al., 2013). We …
Learning distributed representations of sentences from unlabelled data
Unsupervised methods for learning distributed representations of words are ubiquitous in
today's NLP research, but far less is known about the best ways to learn distributed phrase …
today's NLP research, but far less is known about the best ways to learn distributed phrase …
Representation learning using multi-task deep neural networks for semantic classification and information retrieval
Methods of deep neural networks (DNNs) have recently demonstrated superior performance
on a number of natural language processing tasks. However, in most previous work, the …
on a number of natural language processing tasks. However, in most previous work, the …
Distributional models of word meaning
A Lenci - Annual review of Linguistics, 2018 - annualreviews.org
Distributional semantics is a usage-based model of meaning, based on the assumption that
the statistical distribution of linguistic items in context plays a key role in characterizing their …
the statistical distribution of linguistic items in context plays a key role in characterizing their …
Neurocomputational models of language processing
Efforts to understand the brain bases of language face the Mapping Problem: At what level
do linguistic computations and representations connect to human neurobiology? We review …
do linguistic computations and representations connect to human neurobiology? We review …
[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 …