{"product_id":"natural-language-processing-and-chinese-computing-11th-ccf-international-conference-nlpcc-2022-guilin-china-september-2425-2022-proceedings-part-i-9783031171192","title":"Natural Language Processing and Chinese Computing: 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part I","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe 11th CCF Conference on Natural Language Processing and Chinese Computing,NLPCC 2022, held in Guilin, China, had 327 submissions, with 62 full papers, 21 poster papers, and 27 workshop papers accepted. They cover Fundamentals of NLP, Machine Translation and Multilinguality, Machine Learning for NLP, Information Extraction and Knowledge Graph, Summarization and Generation, Question Answering, Dialogue Systems, Social Media and Sentiment Analysis, NLP Applications and Text Mining, and Multimodality and Explainability. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 867 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 24 September 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis two-volume set, comprising LNAI 13551 and 13552, serves as the official publication of the 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022), which took place in Guilin, China, in September 2022. The conference featured a remarkable array of 62 full papers, 21 poster papers, and 27 workshop papers, all of which underwent rigorous review and selection from a total of 327 submissions. These papers are thoughtfully organized into the following topical areas:\u003cbr\u003e\u003cbr\u003eFundamentals of Natural Language Processing: This section encompasses fundamental concepts, theories, and methodologies in the field of natural language processing. It explores topics such as language representation, parsing, semantics, and machine translation.\u003cbr\u003e\u003cbr\u003eMachine Translation and Multilinguality: This area focuses on the challenges and advancements in machine translation, including bilingual and multilingual translation systems, translation quality assessment, and cross-lingual information retrieval.\u003cbr\u003e\u003cbr\u003eMachine Learning for Natural Language Processing: This section explores the application of machine learning techniques to natural language processing tasks, such as text classification, sentiment analysis, named entity recognition, and language modeling.\u003cbr\u003e\u003cbr\u003eInformation Extraction and Knowledge Graph: This area explores methods and techniques for extracting relevant information from text, building knowledge graphs, and integrating heterogeneous data sources. It encompasses topics such as information extraction, knowledge representation, and semantic reasoning.\u003cbr\u003e\u003cbr\u003eSummarization and Generation: This section explores techniques for generating concise and informative summaries of large volumes of text, as well as methods for generating natural language responses to user queries. It includes topics such as text summarization, question answering, dialogue systems, and chatbots.\u003cbr\u003e\u003cbr\u003eQuestion Answering: This area focuses on developing systems that can understand and respond to human queries using natural language processing techniques. It covers topics such as question classification, answer selection, and knowledge base construction.\u003cbr\u003e\u003cbr\u003eDialogue Systems: This section explores the design and development of dialogue systems, including interactive chatbots, voice assistants, and virtual agents. It covers topics such as dialogue modeling, natural language understanding, and user behavior analysis.\u003cbr\u003e\u003cbr\u003eSocial Media and Sentiment Analysis: This area examines the analysis of social media data and sentiment analysis, including methods for identifying and categorizing social media posts, analyzing user sentiments, and detecting fake news.\u003cbr\u003e\u003cbr\u003eNLP Applications and Text Mining: This section explores the application of natural language processing to various domains, such as healthcare, finance, education, and law. It includes topics such as medical text analysis, financial document analysis, text mining for legal purposes, and educational data analysis.\u003cbr\u003e\u003cbr\u003eMultimodality and Explainability: This area explores the use of multimodal data, such as images, videos, and audio, in natural language processing and the development of explainable AI systems. It covers topics such as multimodal sentiment analysis, visual question answering, and audio-based language translation.\u003cbr\u003e\u003cbr\u003eThe 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022) was a highly successful event that brought together researchers, practitioners, and industry experts from around the world to discuss the latest advancements and challenges in the field. The conference featured a diverse range of presentations and discussions, covering a wide spectrum of topics related to natural language processing and Chinese computing.\u003cbr\u003e\u003cbr\u003eThe quality of the submissions to the conference was exceptional, reflecting the high level of research and innovation in the field. The review process was rigorous, with each paper being evaluated by at least three expert reviewers from different institutions. The selected papers represent the cutting edge of research in natural language processing and Chinese computing, and they will undoubtedly contribute to the development of the field in the years to come.\u003cbr\u003e\u003cbr\u003eThe two-volume set of LNAI 13551 and 13552 serves as a valuable resource for researchers, practitioners, and students interested in natural language processing and Chinese computing. It provides a comprehensive overview of the latest research findings and trends in the field, and it will be of great use to anyone working in this area.\u003cbr\u003e\u003cbr\u003eIn conclusion, the 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022) was a remarkable event that showcased the latest advancements and challenges in the field. The two-volume set of LNAI 13551 and 13552 serves as a valuable resource for researchers, practitioners, and students interested in natural language processing and Chinese computing. We look forward to seeing the continued growth and innovation in this field in the years to come.\u003cbr\u003eThis two-volume set, comprising LNAI 13551 and 13552, serves as the official publication of the 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022), which took place in Guilin, China, in September 2022. The conference featured a remarkable array of 62 full papers, 21 poster papers, and 27 workshop papers, all of which underwent rigorous review and selection from a total of 327 submissions. These papers are thoughtfully organized into the following topical areas:\u003cbr\u003e\u003cbr\u003eFundamentals of Natural Language Processing: This section encompasses fundamental concepts, theories, and methodologies in the field of natural language processing. It explores topics such as language representation, parsing, semantics, and machine translation.\u003cbr\u003e\u003cbr\u003eMachine Translation and Multilinguality: This area focuses on the challenges and advancements in machine translation, including bilingual and multilingual translation systems, translation quality assessment, and cross-lingual information retrieval.\u003cbr\u003e\u003cbr\u003eMachine Learning for Natural Language Processing: This section explores the application of machine learning techniques to natural language processing tasks, such as text classification, sentiment analysis, named entity recognition, and language modeling.\u003cbr\u003e\u003cbr\u003eInformation Extraction and Knowledge Graph: This area explores methods and techniques for extracting relevant information from text, building knowledge graphs, and integrating heterogeneous data sources. It encompasses topics such as information extraction, knowledge representation, and semantic reasoning.\u003cbr\u003e\u003cbr\u003eSummarization and Generation: This section explores techniques for generating concise and informative summaries of large volumes of text, as well as methods for generating natural language responses to user queries. It includes topics such as text summarization, question answering, dialogue systems, and chatbots.\u003cbr\u003e\u003cbr\u003eQuestion Answering: This area focuses on developing systems that can understand and respond to human queries using natural language processing techniques. It covers topics such as question classification, answer selection, and knowledge base construction.\u003cbr\u003e\u003cbr\u003eDialogue Systems: This section explores the design and development of dialogue systems, including interactive chatbots, voice assistants, and virtual agents. It covers topics such as dialogue modeling, natural language understanding, and user behavior analysis.\u003cbr\u003e\u003cbr\u003eSocial Media and Sentiment Analysis: This area examines the analysis of social media data and sentiment analysis, including methods for identifying and categorizing social media posts, analyzing user sentiments, and detecting fake news.\u003cbr\u003e\u003cbr\u003eNLP Applications and Text Mining: This section explores the application of natural language processing to various domains, such as healthcare, finance, education, and law. It includes topics such as medical text analysis, financial document analysis, text mining for legal purposes, and educational data analysis.\u003cbr\u003e\u003cbr\u003eMultimodality and Explainability: This area explores the use of multimodal data, such as images, videos, and audio, in natural language processing and the development of explainable AI systems. It covers topics such as multimodal sentiment analysis, visual question answering, and audio-based language translation.\u003cbr\u003e\u003cbr\u003eThe 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022) was a highly successful event that brought together researchers, practitioners, and industry experts from around the world to discuss the latest advancements and challenges in the field. The conference featured a diverse range of presentations and discussions, covering a wide spectrum of topics related to natural language processing and Chinese computing.\u003cbr\u003e\u003cbr\u003eThe quality of the submissions to the conference was exceptional, reflecting the high level of research and innovation in the field. The review process was rigorous, with each paper being evaluated by at least three expert reviewers from different institutions. The selected papers represent the cutting edge of research in natural language processing and Chinese computing, and they will undoubtedly contribute to the development of the field in the years to come.\u003cbr\u003e\u003cbr\u003eThe two-volume set of LNAI 13551 and 13552 serves as a valuable resource for researchers, practitioners, and students interested in natural language processing and Chinese computing. It provides a comprehensive overview of the latest research findings and trends in the field, and it will be of great use to anyone working in this area.\u003cbr\u003e\u003cbr\u003eIn conclusion, the 11th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2022) was a remarkable event that showcased the latest advancements and challenges in the field. The two-volume set of LNAI 13551 and 13552 serves as a valuable resource for researchers, practitioners, and students interested in natural language processing and Chinese computing. We look forward to seeing the continued growth and innovation in this field in the years to come.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1353g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031171192\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44272383262970,"sku":"9783031171192","price":76.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_0605b689-0c45-4809-8d7f-16fcc1ae6dfd.jpg?v=1686252990","url":"https:\/\/shulphink.com\/products\/natural-language-processing-and-chinese-computing-11th-ccf-international-conference-nlpcc-2022-guilin-china-september-2425-2022-proceedings-part-i-9783031171192","provider":"Shulph Ink","version":"1.0","type":"link"}