Results 31 to 40 of about 544,807 (273)

MaterialBERT for natural language processing of materials science texts

Science and Technology of Advanced Materials: Methods, 2022
A BERT (Bidirectional Encoder Representations from Transformers) model, which we named “MaterialBERT”, has been generated using scientific papers in wide area of material science as a corpus.
Michiko Yoshitake, Fumitaka Sato, Hiroyuki Kawano, Hiroshi Teraoka   +3 more
doaj   +1 more source

Sentiment Analysis of Twitter's Opinion on The Russia and Ukraine War Using Bert

Jurnal Riset Informatika, 2022
News about the war that took place between Russia and Ukraine can not be denied affecting various aspects of life in the world. This affects the writings of every citizen of the world on various social media platforms, one of which is Twitter.
Muhammad Fahmi Julianto, Yesni Malau, Wahyutama Fitri Hidayat   +2 more
doaj   +1 more source

Interleukin-1α deficiency reduces adiposity, glucose intolerance and hepatic de-novo lipogenesis in diet-induced obese mice

BMJ Open Diabetes Research & Care, 2019
Objective While extensive research revealed that interleukin (IL)-1β contributes to insulin resistance (IR) development, the role of IL-1α in obesity and IR was scarcely studied.
Tal Almog, Michal Kandel Kfir, Hana Levkovich, Gadi Shlomai, Iris Barshack, Rinke Stienstra, Yaniv Lustig, Alicia Leikin Frenkel, Ayelet Harari, Yoram Bujanover, Roni Apte, Aviv Shaish, Dror Harats, Yehuda Kamari   +13 more
doaj   +1 more source

Chatbot basado en una versión ligera del modelo BERT para resolver inquietudes relacionadas con matrículas y homologaciones en la Universidad Nacional de Loja

Cedamaz, 2022
En este artículo se presenta el desarrollo de un chatbot utilizando como red neuronal una versión ligera del modelo BERT denominado DistilBERT, que ayude a estudiantes o profesionales a solventar inquietudes con respecto a matrículas y homologaciones ...
Leonardo Paredes, Roberth Figueroa-Diaz
doaj   +1 more source

Creating Biographical Networks from Chinese and English Wikipedia

Journal of Historical Network Research, 2021
With the rise of digital humanities, historians are exploring how to intellectually engage with textual sources given the computational tools available today.
Baptiste Blouin, Pierre Magistry, Nora Van den Bosch   +2 more
doaj   +1 more source

Research on a geological entity relation extraction model for gold mine based on BERT

Dizhi lixue xuebao, 2021
Intelligent identification of entity relation is an important method and approach to improve literature mining and analysis, and knowledge extraction of gold mine. This study focuses on the core issues affecting current entity relation extraction of gold
HUANG Xusheng, ZHU Yueqin, FU Lijun, LIU Yujiang, TANG Keke, LI Jin   +5 more
doaj   +1 more source

Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?

Sociological Science, 2023
Social scientists have long been interested in understanding the extent to which the typicalities of an object in concepts relate to its valuations by social actors.
Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros   +3 more
doaj   +1 more source

Analysis of Indonesian Language Dataset for Tax Court Cases: Multiclass Classification of Court Verdicts

Jurnal Riset Informatika, 2023
Tax is an obligation that arises due to the existence of laws, creating a duty for citizens to contribute a certain portion of their income to the state. The Tax Court serves as a judicial authority for taxpayers seeking justice in tax disputes, handling
Ade Putera Kemala, Hafizh Ash Shiddiqi
doaj   +1 more source

Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist attractions. Reviews are a type of multidocument, where one place has several reviews from different users.
Narandha Arya Ranggianto, Diana Purwitasari, Chastine Fatichah, Rizka Wakhidatus Sholikah   +3 more
doaj   +1 more source

Automatic construction accident report analysis using large language models (LLMs)

Journal of Intelligent Construction
Construction site safety is a paramount concern, given the high rate of accidents and fatalities in the sector. This study introduces a novel approach to analyzing construction accident reports by employing advanced large language models (LLMs ...
Ehsan Ahmadi, Shashank Muley, Chao Wang
doaj   +1 more source