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...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:	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
Online Access:	ONIX_20240514_9783725800858_262
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Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)

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