Results 41 to 50 of about 2,554,377 (251)
Applied Sciences, 2023 The development of conversational agents that can generate relevant and meaningful replies is a challenging task in the field of natural language processing.
Quoc-Dai Luong Tran, Anh-Cuong Le
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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
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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
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Natural Language Processing for Policymaking
, 2022 AbstractLanguage is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, we introduce common methods of NLP, including text classification, topic modelling, event extraction, and text ...
Jin, Zhijing, Mihalcea, Rada
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A Survey of the Usages of Deep Learning for Natural Language Processing
IEEE Transactions on Neural Networks and Learning Systems, 2020 Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models.
Dan Otter, Julian R. Medina, J. Kalita
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TweetNLP: Cutting-Edge Natural Language Processing for Social Media [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and named entity recognition, as well ...
José Camacho-Collados +13 more
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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
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How we do things with words: Analyzing text as social and cultural data [PDF]
, 2019 In this article we describe our experiences with computational text analysis. We hope to achieve three primary goals. First, we aim to shed light on thorny issues not always at the forefront of discussions about computational text analysis methods ...
Dedeo, Simon +8 more
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Applied Sciences, 2020 The modeling of fundamental frequency (F0) in speech synthesis is a critical factor affecting the intelligibility and naturalness of synthesized speech. In this paper, we focus on improving the modeling of F0 for Isarn speech synthesis. We propose the F0
Pongsathon Janyoi, Pusadee Seresangtakul
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Speech Rate Adjustments in Conversations With an Amazon Alexa Socialbot
Frontiers in Communication, 2021 This paper investigates users’ speech rate adjustments during conversations with an Amazon Alexa socialbot in response to situational (in-lab vs. at-home) and communicative (ASR comprehension errors) factors.
Michelle Cohn +7 more
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