Results 21 to 30 of about 4,329,486 (294)
Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models
Applied Sciences, 2021 Language model pretraining is an effective method for improving the performance of downstream natural language processing tasks. Even though language modeling is unsupervised and thus collecting data for it is relatively less expensive, it is still a ...
Chanhee Lee +5 more
doaj +1 more source
APQL: A process-model query language [PDF]
, 2013 As business process management technology matures, organisations acquire more and more business process models. The management of the resulting collections of process models poses real challenges.
La Rosa, Marcello +5 more
core +4 more sources
A model-based approach to language integration [PDF]
, 2013 The interactions of several languages within a soft- ware system pose a number of problems. There is several anecdotal and empirical evidence supporting such concerns.
Bernd Kolb +4 more
core +1 more source
Вестник Дагестанского государственного технического университета: Технические науки, 2023 Objective. Today, significant and in many ways sensational results are being achieved in the field of artificial intelligence systems, and the ChatGPT bot, which is based on the GPT-3 neural network, is called a real revolution in the world of technology.
D. A. Machueva +2 more
doaj +1 more source
Microscopic Abrams-Strogatz model of language competition [PDF]
, 2006 The differential equations of Abrams and Strogatz for the competition between two languages are compared with agent-based Monte Carlo simulations for fully connected networks as well as for lattices in one, two and three dimensions, with up to 10^9 ...
Castello, Xavier +3 more
core +3 more sources
Modelling Interleaved Activities Using Language Models
ECMS 2020 Proceedings edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther, 2020 We propose a new approach to activity discovery, based on the neural language modelling of streaming sensor events. Our approach proceeds in multiple stages: we build binary links between activities using probability distributions generated by a neural language model trained on the dataset, and combine the binary links to produce complex activities. We
Rogers, Eoin +2 more
openaire +3 more sources
Techniques and components for natural language processing
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2020 A dramatic change in the abilities of language models to provide state of the art accuracy in a number of Natural Language Processing tasks is currently observed. These improvements open a lot of possibilities in solving NLP downstream tasks.
O. Iosifova, I. Iosifov, O. Rolik
doaj +1 more source
Advanced NLP Procedures as Premises for the Reconstruction of the Idea of Knowledge
Proceedings, 2022 This paper evaluates artificial texts produced by the GPT 2 and GPT 3 language models and proposes to use hermeneutic tools for their analysis, putting them on an equal footing with man-made texts.
Rafal Maciag
doaj +1 more source
Exploring Pre-Trained Model and Language Model for Translating Image to Bahasa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the last decade, there have been significant developments in Image Caption Generation research to translate images into English descriptions. This task has also been conducted to produce texts in non-English, including Bahasa.
Ade Nurhopipah +2 more
doaj +1 more source
Impact of ChatGPT technology on economic development
Вестник Северо-Кавказского федерального университета, 2023 Introduction. Widespread digitalization leads to the creation of new technologies. At the present stage, artificial intelligence has been introduced into all spheres of public life: education, medicine, mechanical engineering and agriculture.
V. А. Grudinina, I. V. Merkulova
doaj +1 more source