Results 51 to 60 of about 10,485,189 (358)
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
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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 +2 more
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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 +5 more
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What Does BERT Learn about the Structure of Language?
Annual Meeting of the Association for Computational Linguistics, 2019 BERT is a recent language representation model that has surprisingly performed well in diverse language understanding benchmarks. This result indicates the possibility that BERT networks capture structural information about language.
Ganesh Jawahar +2 more
semanticscholar +1 more source
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 +3 more
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How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Replacing static word embeddings with contextualized word representations has yielded significant improvements on many NLP tasks. However, just how contextual are the contextualized representations produced by models such as ELMo and BERT?
Kawin Ethayarajh
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Automatic construction accident report analysis using large language models (LLMs)
Journal of Intelligent ConstructionConstruction 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
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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
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K-BERT: Enabling Language Representation with Knowledge Graph [PDF]
AAAI Conference on Artificial Intelligence, 2019 Pre-trained language representation models, such as BERT, capture a general language representation from large-scale corpora, but lack domain-specific knowledge. When reading a domain text, experts make inferences with relevant knowledge. For machines to
Weijie Liu +6 more
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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 +3 more
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