Results 11 to 20 of about 2,055,157 (200)
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey [PDF]
ACM Computing Surveys, 2021 Large, pre-trained language models (PLMs) such as BERT and GPT have drastically changed the Natural Language Processing (NLP) field. For numerous NLP tasks, approaches leveraging PLMs have achieved state-of-the-art performance. The key idea is to learn a
Bonan Min +8 more
semanticscholar +1 more source
Performance Study of N-grams in the Analysis of Sentiments
Journal of Nigerian Society of Physical Sciences, 2021 In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo +3 more
doaj +1 more source
Interactive Natural Language Processing [PDF]
arXiv.org, 2023 Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence.
Zekun Wang +21 more
semanticscholar +1 more source
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization [PDF]
arXiv.org, 2022 We tackle the problem of aligning pre-trained large language models (LMs) with human preferences. If we view text generation as a sequential decision-making problem, reinforcement learning (RL) appears to be a natural conceptual framework. However, using
Rajkumar Ramamurthy +7 more
semanticscholar +1 more source
A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports
Safety, 2023 Safety occurrence reports can contain valuable information on how incidents occur, revealing knowledge that can assist safety practitioners. This paper presents and discusses a literature review exploring how Natural Language Processing (NLP) has been ...
John W. Ricketts +3 more
semanticscholar +1 more source
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
Politics and Governance, 2020 This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora.
Sebastian Haunss +6 more
doaj +1 more source
Body like an idol: K-pop fitspiration on Tumblr – an analysis of texts and images
Finnish Journal of eHealth and eWelfare, 2023 Eating disorders are a major health issue in societies today which oftentimes remain untreated. In social media, such as Tumblr, people build communities to exchange information and connect to each other using specific hashtags.
Linda Achilles +2 more
doaj +1 more source
Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing
Journal of ICT Research and Applications, 2023 Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese.
Win Lai Lai Phyu +2 more
doaj +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
Applied Sciences, 2023 The role played by science and technology parks (STPs) in technology transfer, industrial innovation, and economic growth is examined in this paper. The accurate monitoring of their evolution and impact is hindered by the lack of uniformity in STP models
Olga Francés +4 more
doaj +1 more source