Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)
Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced NL...
Sábháilte in:
| Formáid: | Online |
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| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20240514_9783725800858_262 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869526658662268928 |
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| collection | Directory of Open Access Books |
| description | Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced NLP and the availability of big data to create large-scale systems and applications. Researching software and systems that bridge the linguistic gap between people and machines requires knowledge of natural language processing (NLP) and computational linguistics (CL), including their application-oriented aspects. This Reprint contains all accepted articles published in the Special Issue “Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)”. The aim of this Special Issue was to focus on technologies for processing human language in the form of text, using natural language processing (NLP) tools and techniques to address the two main challenges: natural language understanding and natural language generation. This Special Issue presents innovative research in the domain of NLP and HLT. It is our hope that the research results will contribute to fostering future research in NLP and inspiring future studies in related fields. |
| format | Online |
| id | doab-20.500.12854ir-137664 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1376642024-05-14T14:03:01Z Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) Hristea, Florentina paraphrase identification transformers cross-encoders bi-encoders intent classification chatbot few-shot learning data augmentation online clustering data projection text simplification deep learning reinforcement learning readability level stancerecognition multilingual models online debates public consultations natural language processing generative pre-trained transformer GPT ChatGPT self-supervised learning NLP neural machine translation statistical machine translation sentence embedding similarity classification hybrid machine translation multiword expression identification multilingual lateral inhibition domain adaptation PARSEME corpus relation classification graph neural network cybersecurity task-oriented dialogue system PEFT fine-tuning training efficiency triple extraction entity recognition relation extraction joint extraction sentiment analysis aspect-based sentiment analysis difficulty sentiment polarity text representation language modeling language models composite structures machine learning Serbian language text classification hate speech detection zero-shot learning large language models thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced NLP and the availability of big data to create large-scale systems and applications. Researching software and systems that bridge the linguistic gap between people and machines requires knowledge of natural language processing (NLP) and computational linguistics (CL), including their application-oriented aspects. This Reprint contains all accepted articles published in the Special Issue “Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)”. The aim of this Special Issue was to focus on technologies for processing human language in the form of text, using natural language processing (NLP) tools and techniques to address the two main challenges: natural language understanding and natural language generation. This Special Issue presents innovative research in the domain of NLP and HLT. It is our hope that the research results will contribute to fostering future research in NLP and inspiring future studies in related fields. 2024-05-14T14:02:55Z 2024-05-14T14:02:55Z 2024 book ONIX_20240514_9783725800858_262 9783725800858 9783725800865 https://directory.doabooks.org/handle/20.500.12854/137664 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8881 https://mdpi.com/books/pdfview/book/8881 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0086-5 10.3390/books978-3-7258-0086-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800858 9783725800865 262 open access |
| spellingShingle | paraphrase identification transformers cross-encoders bi-encoders intent classification chatbot few-shot learning data augmentation online clustering data projection text simplification deep learning reinforcement learning readability level stancerecognition multilingual models online debates public consultations natural language processing generative pre-trained transformer GPT ChatGPT self-supervised learning NLP neural machine translation statistical machine translation sentence embedding similarity classification hybrid machine translation multiword expression identification multilingual lateral inhibition domain adaptation PARSEME corpus relation classification graph neural network cybersecurity task-oriented dialogue system PEFT fine-tuning training efficiency triple extraction entity recognition relation extraction joint extraction sentiment analysis aspect-based sentiment analysis difficulty sentiment polarity text representation language modeling language models composite structures machine learning Serbian language text classification hate speech detection zero-shot learning large language models thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title | Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title_full | Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title_fullStr | Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title_full_unstemmed | Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title_short | Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) |
| title_sort | current trends in natural language processing nlp and human language technology hlt |
| topic | paraphrase identification transformers cross-encoders bi-encoders intent classification chatbot few-shot learning data augmentation online clustering data projection text simplification deep learning reinforcement learning readability level stancerecognition multilingual models online debates public consultations natural language processing generative pre-trained transformer GPT ChatGPT self-supervised learning NLP neural machine translation statistical machine translation sentence embedding similarity classification hybrid machine translation multiword expression identification multilingual lateral inhibition domain adaptation PARSEME corpus relation classification graph neural network cybersecurity task-oriented dialogue system PEFT fine-tuning training efficiency triple extraction entity recognition relation extraction joint extraction sentiment analysis aspect-based sentiment analysis difficulty sentiment polarity text representation language modeling language models composite structures machine learning Serbian language text classification hate speech detection zero-shot learning large language models thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | paraphrase identification transformers cross-encoders bi-encoders intent classification chatbot few-shot learning data augmentation online clustering data projection text simplification deep learning reinforcement learning readability level stancerecognition multilingual models online debates public consultations natural language processing generative pre-trained transformer GPT ChatGPT self-supervised learning NLP neural machine translation statistical machine translation sentence embedding similarity classification hybrid machine translation multiword expression identification multilingual lateral inhibition domain adaptation PARSEME corpus relation classification graph neural network cybersecurity task-oriented dialogue system PEFT fine-tuning training efficiency triple extraction entity recognition relation extraction joint extraction sentiment analysis aspect-based sentiment analysis difficulty sentiment polarity text representation language modeling language models composite structures machine learning Serbian language text classification hate speech detection zero-shot learning large language models thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240514_9783725800858_262 |