Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aaron Traylor"'
Publikováno v:
Journal of Language Modelling, Vol 10, Iss 1 (2022)
Reduplicative linguistic patterns have been used as evidence for explicit algebraic variables in models of cognition.1 Here, we show that a variable-free neural network can model these patterns in a way that predicts observed human behavior. Specific
Externí odkaz:
https://doaj.org/article/09fbc4dc5729461daf434ad5feb0a1d9
Publikováno v:
ACL/IJCNLP (2)
A current open question in natural language processing is to what extent language models, which are trained with access only to the form of language, are able to capture the meaning of language. This question is challenging to answer in general, as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9964e30dd7f307062f205158a99091e
https://doi.org/10.18653/v1/2021.acl-short.21
https://doi.org/10.18653/v1/2021.acl-short.21
Publikováno v:
ACL (1)
String similarity models are vital for record linkage, entity resolution, and search. In this work, we present STANCE --a learned model for computing the similarity of two strings. Our approach encodes the characters of each string, aligns the encodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04405c5e1b550d46fe7e2745c2a29b7e
Publikováno v:
Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Natural language reduplication can pose a challenge to neural models of language, and has been argued to require variables (Marcus et al., 1999). Sequence-to-sequence neural networks have been shown to perform well at a number of other morphological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a033edea0521f495c1df63b56a63be37
https://doi.org/10.18653/v1/w18-5810
https://doi.org/10.18653/v1/w18-5810