Results 21 to 30 of about 3,151,766 (167)
SciBERT: A Pretrained Language Model for Scientific Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained language model based on BERT (Devlin et.
Iz Beltagy, Kyle Lo, Arman Cohan
semanticscholar +1 more source
Abstracts of papers presented at the 1996 Pittsburgh Conference. [PDF]
J Automat Chem, 1996 Journal of Analytical Methods in Chemistry, Volume 18, Issue 3, Page 71-114, 1996.
europepmc +2 more sources
WOMAN ADDRESSING FORMS IN CONTEMPORARY TURKISH LİTERARY LANGUAGE
Uluslararası Türk Lehçe Araştırmaları Dergisi, 2017 Adressings, taking an important place in a language’s vocabulary, are the words or pharases which are used fot thepurpose of Express feeling such as calling, respect, favour, reproach, thrill, love. These phrases which are used different way or purpose
Nilufer YILDIRIM
doaj +1 more source
Europe: So Many Languages, So Many Cultures [PDF]
, 2011 The number of different languages in Europe by far exceeds the number of countries. All European countries have national languages, and in nearly all of them there are minority languages as well, whereas all major languages have dialects.
Steinhauer, H. (Hein)
core +3 more sources
Language Models as Knowledge Bases? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training data, and
F. Petroni +6 more
semanticscholar +1 more source
The varieties of formulaic diction in Turkic oral epics [PDF]
, 2013 This article tries to show that the formulaic diction on the level of verse line and formulaic patterning in the composition of scenes are closely related and must be studied together. The analysis is done on the example of Turkic epics.
Reichl Karl
core +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
Engagement in language learning: A systematic review of 20 years of research methods and definitions
Language Teaching Research, 2021 At the turn of the new millennium, in an article published in Language Teaching Research in 2000, Dörnyei and Kormos proposed that ‘active learner engagement is a key concern’ for all instructed language learning. Since then, language engagement research
Phil Hiver +3 more
semanticscholar +1 more source
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as sentences, have however not been so successful.
Alexis Conneau +4 more
semanticscholar +1 more source
Rejecting abyssal thinking in the language and education of racialized bilinguals: A manifesto
Critical inquiry In Language Studies, 2021 Following Boaventura de Sousa Santos, the authors of this article reject the type of “abyssal thinking” that erases the existence of counter-hegemonic knowledges and lifeways, adopting instead the “from the inside out” perspective that is required for ...
Ofelia García +5 more
semanticscholar +1 more source