Results 21 to 30 of about 2,055,157 (200)
Applied Sciences, 2023 Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
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Revisiting Pre-Trained Models for Chinese Natural Language Processing [PDF]
Findings, 2020 Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and consecutive variants have been proposed to further improve the performance of the pre-trained language models. In this paper, we
Yiming Cui +5 more
semanticscholar +1 more source
Datasets: A Community Library for Natural Language Processing [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets
Quentin Lhoest +31 more
semanticscholar +1 more source
Language processing in the natural world [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2007 Abstract The authors argue that a more complete understanding of how people produce and comprehend language will require investigating real-time spoken-language processing in natural tasks, including those that require goal-oriented unscripted conversation.
Sarah Brown-Schmidt +1 more
openaire +3 more sources
AllenNLP: A Deep Semantic Natural Language Processing Platform [PDF]
arXiv.org, 2018 Modern natural language processing (NLP) research requires writing code. Ideally this code would provide a precise definition of the approach, easy repeatability of results, and a basis for extending the research.
Matt Gardner +8 more
semanticscholar +1 more source
Literature Review of Qualitative Data with Natural Language Processing
Journal of Robotics Spectrum, 2023 Qualitative research techniques are frequently employed by scholars in the field of social sciences when investigating communities and their communication media.
Bukuroshe Elira Epoka
semanticscholar +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
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter [PDF]
Frontiers in Artificial Intelligence, 2020 Introduction This study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from social
Martin Müller +2 more
semanticscholar +1 more source
An Efficient Deep Learning for Thai Sentiment Analysis
Data, 2023 The number of reviews from customers on travel websites and platforms is quickly increasing. They provide people with the ability to write reviews about their experience with respect to service quality, location, room, and cleanliness, thereby helping ...
Nattawat Khamphakdee +1 more
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The Stanford CoreNLP Natural Language Processing Toolkit
Annual Meeting of the Association for Computational Linguistics, 2014 We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP community and also among commercial and government users of ...
Christopher D. Manning +5 more
semanticscholar +1 more source