Results 31 to 40 of about 2,554,377 (251)
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
doaj +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
Natural Language Processing in the Legal Domain [PDF]
Social Science Research Network, 2023 In this paper, we summarize the current state of the field of NLP&Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a nearly complete corpus of more than six hundred NLP&Law ...
D. Katz +4 more
semanticscholar +1 more source
Inf., 2023 This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide a comprehensive analysis of its architecture, training data, and evaluation metrics and explore its advancements and ...
Moatsum Alawida +4 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
Readers and Reading in the First World War [PDF]
, 2015 This essay consists of three individually authored and interlinked sections. In ‘A Digital Humanities Approach’, Francesca Benatti looks at datasets and databases (including the UK Reading Experience Database) and shows how a systematic, macro-analytical
Edmund G. C. King, +4 more
core +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
doaj +1 more source
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
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
ABDN at SemEval-2018 Task 10 : recognising discriminative attributes using context embeddings and WordNet [PDF]
, 2018 This paper describes the system that we submitted for SemEval-2018 task 10: capturing discriminative attributes. Our system is built upon a simple idea of measuring the attribute word’s similarity with each of the two semantically similar words, based on
Mao, Rui +5 more
core +1 more source