Results 31 to 40 of about 12,871,599 (320)
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding [PDF]
BlackboxNLP@EMNLP, 2018 Human ability to understand language is general, flexible, and robust. In contrast, most NLU models above the word level are designed for a specific task and struggle with out-of-domain data.
Alex Wang +5 more
semanticscholar +1 more source
Evolutionary-scale prediction of atomic level protein structure with a language model
bioRxiv, 2022 Artificial intelligence has the potential to open insight into the structure of proteins at the scale of evolution. It has only recently been possible to extend protein structure prediction to two hundred million cataloged proteins.
Zeming Lin +14 more
semanticscholar +1 more source
A large annotated corpus for learning natural language inference [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine learning research
Samuel R. Bowman +3 more
semanticscholar +1 more source
Preface in memoriam of Raquel Segovia Martín
Language Value, 2021 This is the fourteenth issue of Language Value, the journal created by the Department of English Studies at Universitat Jaume I (UJI) over 12 years ago.
Language Value
doaj +1 more source
Language Preference in a Bi-language Digital Library [PDF]
, 2005 This paper examines user choice of interface language in a bi-language digital library(English and Maori, the language of the indigenous people of New Zealand)/ the majority of collection documents are in Maori, and the interface is available in both ...
Cunningham, Sally Jo +1 more
core +2 more sources
Stan: A Probabilistic Programming Language.
Journal of Statistical Software, 2017 Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants.
Bob Carpenter +9 more
semanticscholar +1 more source
Language Value, 2018 From the Editors MULTIMODAL MEANS OF INSTRUCTION: BROADENING ACADEMIC LITERACIES AND PRACTICES Departing from the concept of multimodality as “a field of application rather than a theory” (Bezemer and Jewitt 2010: 180), the current volume aims at ...
Language Value
doaj +1 more source