Pick the Better and Leave the Rest: Leveraging Multiple Retrieved Results to Guide Response Generation

Authors: Bowen Wu, Youping Deng, D. Su, Jianhuan Xiang, Yang Liu, Zongsheng Wang, Ying Li, Junhong Huang, Baoxun Wang

Source: IEEE Transactions on Audio, Speech and Language Processing. 33:1801-1812

Subject Terms: Neural Machine Translation, Artificial intelligence, FOS: Political science, Linguistics, FOS: Law, Statistical Machine Translation and Natural Language Processing, Reinforcement Learning, Computer science, Leverage (statistics), FOS: Philosophy, ethics and religion, Philosophy, Natural Language Generation, Artificial Intelligence, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Information Retrieval, Machine learning, Conversation, FOS: Languages and literature, Relevance (law), Political science, Law, Natural Language Processing, Spoken Dialogue Systems

investigação de problemas linguísticos em sumários automáticos multidocumento

Authors: Márcio de Souza Dias, Ariani Di Felippo, Amanda Pontes Rassi, Paula Christina Figueira Cardoso, Fernando Antônio Asevêdo Nóbrega, Thiago Alexandre Salgueiro Pardo

Source: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 859-907 (2021)

Subject Terms: Syntax-based Translation Models, Artificial intelligence, History, multi-document summary, Annotation, Corpus annotation, P1-1091, Automatic summarization, Epistemology, 02 engineering and technology, Linguistic problem, problema linguístico, Humanities, Sumário multidocumento, Artificial Intelligence, Source text, Sumarização automática, 0202 electrical engineering, electronic engineering, information engineering, Multi-document summary, Philology. Linguistics, Anotação de corpus, Natural Language Processing, Portuguese, Language and Literature, Natural language processing, Linguistics, FOS: Humanities, sumário multidocumento, Statistical Machine Translation and Natural Language Processing, anotação de corpus, corpus annotation, Computer science, sumarização automática, FOS: Philosophy, ethics and religion, Typology, Philosophy, Archaeology, linguistic problem, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Problema linguístico, FOS: Languages and literature, Quality (philosophy), automatic summarization

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https://doaj.org/article/d388050ff761404f8226797ea0921862
http://www.periodicos.letras.ufmg.br/index.php/relin/article/download/16831/pdf
http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/16831

Exploring English Vocabulary Learning of Vietnamese Secondary School Students with VoiceGPT Assistance

Authors: Hong Nhung Nguyen, Duy Nguyen, Luu Phuc Thinh Tran, T.H. Tran

Source: AsiaCALL Online Journal. 15:55-70

Subject Terms: Social Sciences, Vietnamese, Vocabulary, Vocabulary Acquisition in Second Language Learning, Artificial Intelligence, Vocabulary Acquisition, Developmental and Educational Psychology, Psychology, Voice Assistants, 10. No inequality, 9. Industry and infrastructure, Pedagogy, 4. Education, 05 social sciences, Language Teaching, Linguistics, 06 humanities and the arts, English vocabulary, 16. Peace & justice, Mathematics education, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Incidental Learning, Second Language Learning, 0602 languages and literature, Artificial Intelligence in Service Industry, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, FOS: Languages and literature, 0503 education

Using Formant Characteristics of Russian Vowels and Consonants for User Authentication

Authors: Ye. P. Belova

Source: The Herald of the Siberian State University of Telecommunications and Information Science. 18:59-69

Subject Terms: Vowel, Sociology and Political Science, 4. Education, Geopolitics and Linguistic Analysis, Social Sciences, Speech recognition, 01 natural sciences, Computer science, 03 medical and health sciences, Speech Recognition Technology, 0302 clinical medicine, Formant, Artificial Intelligence, Authentication (law), Computer security, 0103 physical sciences, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences

A Deterministic Finite-State Morphological Analyzer for Urdu Nominal System

Authors: Abdulaziz Alblwi, Mohammad Mahyoob, Jeehaan Algaraady, Khateeb S. Mustafa

Source: Engineering, Technology & Applied Science Research. 13:11026-11031

Subject Terms: Artificial intelligence, Word (group theory), Markov chain, Geometry, 02 engineering and technology, Digital Humanities, Artificial Intelligence, State (computer science), Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Natural Language Processing, Finite state, Spectrum analyzer, Finite-state machine, Natural language processing, Linguistics, Statistical Machine Translation and Natural Language Processing, 06 humanities and the arts, Urdu, Computer science, Language Modeling, Process (computing), Programming language, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Noun, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, 0602 languages and literature, FOS: Languages and literature, Telecommunications, Arts and Humanities, Mathematics

An Optimality-Theoretic Analysis of Word-stress Learnability: Evidence from Moroccan-English Interlanguage

Authors: Mohamed Smirkou

Source: British Journal of Applied Linguistics. 3:01-24

Subject Terms: Language Anxiety, Artificial intelligence, Learnability, FOS: Political science, Optimality theory, Social Sciences, Demotion, FOS: Law, Language Learning Strategies, Phonology, Stress (linguistics), Language and Linguistics, Artificial Intelligence, Second Language Acquisition, Type-2 Fuzzy Logic Systems and Applications, 10. No inequality, Political science, Grammar, Natural language processing, 4. Education, Politics, Ranking (information retrieval), Language Teaching, Linguistics, 16. Peace & justice, Reinforcement Learning, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Language Teaching and Second Language Acquisition, FOS: Languages and literature, Arts and Humanities, Interlanguage, Law

A Thematic-Role-Based Approach for Word Sense Disambiguation

Authors: Lamiaa Frere

Source: British Journal of Translation, Linguistics and Literature. 3:28-49

Subject Terms: Syntax-based Translation Models, Cartography, Neural Machine Translation, Artificial intelligence, Theme (computing), Variety (cybernetics), Word (group theory), Semantic Processing, Context (archaeology), Sociology, Artificial Intelligence, Subject (documents), Qualitative research, 14. Life underwater, Biology, Natural Language Processing, 2. Zero hunger, Geography, Topic Modeling, Natural language processing, Physics, Word Representation, Paleontology, Linguistics, Optics, Statistical Machine Translation and Natural Language Processing, Focus (optics), Social science, Computer science, Thematic analysis, 6. Clean water, FOS: Sociology, FOS: Philosophy, ethics and religion, Programming language, Thematic structure, World Wide Web, Philosophy, Verb, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, FOS: Languages and literature, Thematic map, Object (grammar)

Simulating vocal learning of spoken language: Beyond imitation

Authors: Daniel van Niekerk, Anqi Xu, Branislav Gerazov, Paul Konstantin Krug, Peter Birkholz, Lorna F. Halliday, Santitham Prom-on, Yi Xu

Source: Speech Communication. 147:51-62

Subject Terms: FOS: Political science, Social Sciences, Social psychology, 01 natural sciences, 0302 clinical medicine, Psychology, Spoken language, Speech Enhancement Techniques, Audio-Visual Speech Recognition, 10. No inequality, Political science, Speech production, Vowel, Early vocal learning, Communication, 4. Education, Speech perception, Politics, Language acquisition, Manner of articulation, 3. Good health, FOS: Psychology, Speech Perception and Phonetics, Articulation (sociology), Physical Sciences, Speech Perception, Speech acquisition, Imitation, Articulatory Phonetics, Experimental and Cognitive Psychology, FOS: Law, Speech recognition, Canonical babbling, Vocal learning, 03 medical and health sciences, Artificial Intelligence, 0103 physical sciences, Acoustic Phonetics, Vocal tract, Language Acquisition, Articulatory speech synthesis, Natural language processing, Computer science, Mathematics education, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Signal Processing, Consonant, Perception, Computational phonetics, Law, Neuroscience

Access URL: https://discovery-pp.ucl.ac.uk/id/eprint/10163859/

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Authors: Zheng Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, Vassilina Nikoulina

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :11682-11703

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Computer Science - Artificial Intelligence, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), STELLA (programming language), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Biology, 0105 earth and related environmental sciences, Natural Language Processing, Spoken Dialogue Systems, Computer Science - Computation and Language, Ecology, Topic Modeling, Statistical Machine Translation and Natural Language Processing, Computer science, Language Modeling, Artificial Intelligence (cs.AI), FOS: Biological sciences, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Bloom, Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2212.09535

A Spectral Viewpoint on Continual Relation Extraction

Authors: Huy Hung Nguyen, Anh H. T. Nguyen, Linh Ngo, Trifan Budi, Thien Huu Nguyen

Source: Findings of the Association for Computational Linguistics: EMNLP 2023. :9621-9629

Subject Terms: Artificial intelligence, Sequence-to-Sequence Learning, FOS: Political science, Representation Learning, FOS: Law, Pattern recognition (psychology), Quantum mechanics, 7. Clean energy, Theoretical computer science, Artificial Intelligence, Meta-Learning, Machine learning, FOS: Mathematics, Regularization (linguistics), Political science, Natural Language Processing, Eigenvalues and eigenvectors, Physics, 4. Education, Mathematical optimization, Politics, Transfer Learning, Reinforcement Learning, Computer science, Algorithm, Advances in Transfer Learning and Domain Adaptation, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Representation (politics), Law, Mathematics

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations

Authors: Ang Lv, Jinpeng Li, Yuhan Chen, Xing Gao, Ji Zhang, Rui Yan

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :1267-1280

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Artificial Intelligence, Perspective (graphical), Coherence (philosophical gambling strategy), Dialog Management, Space (punctuation), Filter (signal processing), Context (archaeology), Artificial Intelligence, FOS: Mathematics, Image (mathematics), Similarity (geometry), Biology, Natural Language Processing, Spoken Dialogue Systems, Computer Science - Computation and Language, Topic Modeling, Natural language processing, Multimodal Interaction, Statistics, Paleontology, Statistical Machine Translation and Natural Language Processing, Path (computing), Sampling (signal processing), Computer science, Language Modeling, Programming language, Operating system, Artificial Intelligence (cs.AI), Semantic similarity, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences, Computer vision, Computation and Language (cs.CL), Mathematics

Access URL: http://arxiv.org/abs/2306.16770

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Authors: Jiazhan Feng, Qing Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :7348-7363

Subject Terms: FOS: Computer and information sciences, Cartography, Computer Science - Machine Learning, Artificial intelligence, Scale (ratio), Computer Science - Artificial Intelligence, Volume (thermodynamics), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Dialog Management, Mathematical analysis, Quantum mechanics, Machine Learning (cs.LG), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Conversation, FOS: Mathematics, Question answering, Polymer chemistry, Natural Language Processing, Spoken Dialogue Systems, Computer Science - Computation and Language, Domain (mathematical analysis), Geography, Topic Modeling, Physics, Multimodal Interaction, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Multimedia (cs.MM), FOS: Philosophy, ethics and religion, Philosophy, Chemistry, Artificial Intelligence (cs.AI), Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Open domain, FOS: Languages and literature, Modal, Computation and Language (cs.CL), Computer Science - Multimedia, Mathematics

Access URL: http://arxiv.org/abs/2211.05719

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback

Authors: Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau, Jason Weston

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :13557-13572

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Artificial Intelligence, 02 engineering and technology, Dialog Management, Mathematical analysis, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software deployment, Natural Language Processing, Spoken Dialogue Systems, Computer Science - Computation and Language, Software engineering, Domain (mathematical analysis), Topic Modeling, Reinforcement Learning, Computer science, World Wide Web, Artificial Intelligence (cs.AI), Expert Finding in Online Communities, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Computation and Language (cs.CL), The Internet, Mathematics, Information Systems

Access URL: http://arxiv.org/abs/2208.03270

ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding

Authors: Xiang Cheng, Bowen Cao, Qichen Ye, Zhiliang Zhu, Hongxiang Li, Yuexian Zou

Source: Findings of the Association for Computational Linguistics: ACL 2023. :6492-6505

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Sequence-to-Sequence Learning, Robustness (evolution), Automatic Speech Recognition, Speech recognition, Biochemistry, Gene, Artificial Intelligence, Margin (machine learning), Machine learning, Spoken language, Natural Language Processing, Computer Science - Computation and Language, Natural language processing, Acoustic Modeling, Reinforcement Learning, Computer science, Language model, Mutual information, Speech Recognition Technology, Chemistry, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences, Statistical Language Modeling, Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2311.11375

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework

Authors: Mingqi Gao, Xiaojun Wan, Suotang Jia, Zhefeng Wang, Baoxing Huai

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :13932-13959

Subject Terms: FOS: Computer and information sciences, Marketing, Artificial intelligence, Computer Science - Computation and Language, Error detection and correction, Natural language processing, Variety (cybernetics), Statistical Machine Translation and Natural Language Processing, Semantic Processing, Automatic summarization, Computer science, Algorithm, FOS: Economics and business, Benchmarking, Artificial Intelligence, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Machine learning, Forward error correction, Information retrieval, Business, Decoding methods, Computation and Language (cs.CL), Natural Language Processing

Access URL: http://arxiv.org/abs/2306.05119

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems

Authors: Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :4398-4419

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Metric (unit), Economics, Speech recognition, Dialog Management, Stress (linguistics), Mathematical analysis, Quantum mechanics, Artificial Intelligence, FOS: Mathematics, Event (particle physics), Commonsense reasoning, Natural Language Processing, Spoken Dialogue Systems, Computer Science - Computation and Language, Argumentation Frameworks, Domain (mathematical analysis), Topic Modeling, Natural language processing, Physics, Discrete mathematics, Computer science, Methods and Techniques for Agent-Based Modeling, Operations management, Commonsense knowledge, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Domain knowledge, Tuple, Computation and Language (cs.CL), Dialectical Argumentation, Mathematics

Access URL: http://arxiv.org/abs/2305.07797

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection

Authors: Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :3102-3114

Subject Terms: Artificial intelligence, Effectiveness of Intelligent Tutoring Systems, 4. Education, Core (optical fiber), Intelligent Tutoring Systems, Operations research, Library science, Dialog Management, 16. Peace & justice, Reinforcement Learning, Computer science, Adaptive Learning Environments, Selection (genetic algorithm), Engineering, Artificial Intelligence, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Telecommunications, Natural Language Processing, Spoken Dialogue Systems

Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation

Authors: Ang Lv, Jinpeng Li, Shufang Xie, Rui Yan

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :7382-7394

Subject Terms: Artificial intelligence, Sentence, Economics, Epistemology, Biochemistry, Gene, Machine Translation, Inference, Artificial Intelligence, Hierarchy, Computer security, Market economy, Conversation, FOS: Mathematics, Psychology, 10. No inequality, Natural Language Processing, Spoken Dialogue Systems, ENCODE, Topic Modeling, Natural language processing, Communication, 4. Education, Statistical Machine Translation and Natural Language Processing, Discrete mathematics, 15. Life on land, Natural language generation, 16. Peace & justice, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Chemistry, Philosophy, Natural Language Generation, Natural language, Security token, 13. Climate action, Duality (order theory), Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences, Property (philosophy), Utterance, Mathematics

Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

Authors: Cam-Van Thi Nguyen, Anh Tuan, Son The, Duy Thong Kieu, Duc-Trong Le

Source: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. :15154-15167

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Sentence, Economics, FOS: Political science, Social Sciences, Experimental and Cognitive Psychology, FOS: Law, Modality (human–computer interaction), Graph, Task (project management), Modalities, Context (archaeology), Theoretical computer science, Sociology, Artificial Intelligence, Conversation, Psychology, Political science, Biology, Natural Language Processing, Computer Science - Computation and Language, Natural language processing, Communication, Multimodal Interaction, Word Representation, Politics, Paleontology, Social science, Computer science, Multimedia (cs.MM), Management, FOS: Sociology, FOS: Psychology, Emotion Recognition, Dialogue Act Modeling for Spoken Language Systems, Computer Science, Physical Sciences, Affective Computing, Multimodal Data, Computation and Language (cs.CL), Utterance, Representation (politics), Law, Computer Science - Multimedia, Emotion Recognition and Analysis in Multimodal Data

Access URL: http://arxiv.org/abs/2311.04507

Conversational Affective Social Robots for Ageing and Dementia Support

Authors: Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam Barnaghi, David J. Sharp, Ravi Vaidyanathan

Source: IEEE Transactions on Cognitive and Developmental Systems. 14:1378-1397

Subject Terms: Social Interaction with Robots, Artificial intelligence, 0209 industrial biotechnology, Social Psychology, Robot, Robustness (evolution), Social Sciences, 02 engineering and technology, Biochemistry, Gene, Human-Robot Interaction, Human–robot interaction, Socially Assistive Robotics, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Mobile robot, Robot Companionship, Pathology, Psychology, Software deployment, Disease, Robot control, Psychiatry, Human–computer interaction, Human Perception of Robots, Computer science, 3. Good health, FOS: Psychology, Chemistry, Operating system, Social robot, Artificial Intelligence in Service Industry, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Medicine, Dementia, Mental health

Access URL: https://ieeexplore.ieee.org/ielx7/7274989/7422051/09548693.pdf
https://ieeexplore.ieee.org/document/9548693
http://hdl.handle.net/10044/1/91950