Results 91 to 100 of about 824,215 (366)
COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE [PDF]
Ziglôbitha: Computational linguistics, as an interdisciplinary field combining linguistics and computer science, aims to enable computers to process natural language.
Affas MAAMAR & Hadjer HADJCHERIF
doaj +1 more source
Information, 2020 Texts published on social media have been a valuable source of information for companies and users, as the analysis of this data helps improving/selecting products and services of interest.
Luana Balador Belisário +2 more
doaj +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract The BookSampo Linked Data portal was deployed in 2011 by the Finnish Public Libraries and has today nearly 2 million annual users. Its Linked Data covers virtually all Finnish fiction literature but the data has not been used for data analyses in Digital Humanities. This paper discusses how the Knowledge Graph can be used for literary research
Annastiina Ahola +2 more
wiley +1 more source
How does the pre-training objective affect what large language models learn about linguistic properties? [PDF]
arXiv, 2022 Several pre-training objectives, such as masked language modeling (MLM), have been proposed to pre-train language models (e.g. BERT) with the aim of learning better language representations. However, to the best of our knowledge, no previous work so far has investigated how different pre-training objectives affect what BERT learns about linguistics ...
arxiv
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning [PDF]
, 2012 Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Cohen, S. B., Smith, N. A.
core +3 more sources
Prerequisite Relations Annotation Tool: Annotation and analysis of educational relations in texts
Journal of the Association for Information Science and Technology, EarlyView.Abstract Relations between terms in texts have long been studied in linguistics and specialized knowledge domains, especially when occurring in educational materials like textbooks, where they play a crucial role in guiding instructional design and learning.
Chiara Alzetta, Ilaria Torre
wiley +1 more source
Towards authentic tasks and experiences: The example of parser-based CALL
Canadian Journal of Applied Linguistics, 2000 Authenticity of language learning tasks, authenticity of learning experiences and the use of authentic language are important characteristics of communicative language teaching and learning.
Mathias Schulze, Marie-Josée Hamel
doaj
Cognition and Computational Linguistic Creativity
, 2021 Computational creativity is a subfield of artificial intelligence concerned with the development of programs that can produce creative output; in particular, several of these programs deal with linguistic creativity. Many computational creativity systems are modeled after, or inspired by, psychological and cognitive theories of creativity.
Lorenzo Gatti +2 more
openaire +3 more sources
Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities [PDF]
, 1998 This paper presents the results of a study on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correlations between them and the choice of a noun phrase description of a
Radev, Dragomir R.
core +8 more sources
What attention is. The priority structure account
WIREs Cognitive Science, Volume 14, Issue 1, January/February 2023., 2023 Attention is what organizes current information to make it more useful for the organism. We can identify it by four features. Attention, in this way, helps a cognitive system to integrate its informational state with its current motivational state.
Sebastian Watzl
wiley +1 more source