Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation
Recent developments in distributional semantics (Mikolov, Chen, Corrado, & Dean, 2013;
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …
Universal and specific reading mechanisms across different writing systems
Reading of alphabetic writing systems, such as English, has been extensively studied and
most theories and models of reading are based on findings from these studies. This practice …
most theories and models of reading are based on findings from these studies. This practice …
The neural architecture of language: Integrative modeling converges on predictive processing
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
The neural architecture of language
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
[图书][B] Explain me this: Creativity, competition, and the partial productivity of constructions
AE Goldberg - 2019 - books.google.com
Why our use of language is highly creative yet also constrained We use words and phrases
creatively to express ourselves in ever-changing contexts, readily extending language …
creatively to express ourselves in ever-changing contexts, readily extending language …
[PDF][PDF] Don't count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors
Context-predicting models (more commonly known as embeddings or neural language
models) are the new kids on the distributional semantics block. Despite the buzz …
models) are the new kids on the distributional semantics block. Despite the buzz …
[HTML][HTML] The effect of word predictability on reading time is logarithmic
It is well known that real-time human language processing is highly incremental and context-
driven, and that the strength of a comprehender's expectation for each word encountered is …
driven, and that the strength of a comprehender's expectation for each word encountered is …
A survey of word embeddings evaluation methods
A Bakarov - arXiv preprint arXiv:1801.09536, 2018 - arxiv.org
Word embeddings are real-valued word representations able to capture lexical semantics
and trained on natural language corpora. Models proposing these representations have …
and trained on natural language corpora. Models proposing these representations have …
[HTML][HTML] Rapid expectation adaptation during syntactic comprehension
When we read or listen to language, we are faced with the challenge of inferring intended
messages from noisy input. This challenge is exacerbated by considerable variability …
messages from noisy input. This challenge is exacerbated by considerable variability …
[HTML][HTML] Using the visual world paradigm to study language processing: A review and critical evaluation
We describe the key features of the visual world paradigm and review the main research
areas where it has been used. In our discussion we highlight that the paradigm provides …
areas where it has been used. In our discussion we highlight that the paradigm provides …