Tìm thấy 14+ kết quả cho từ khóa "Natural language processing"
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Sentiment analysis with ratings. in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). in Proceedings of the Annual Meeting of the Association for Computational Linguistics (short paper) (ACL-2011). in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2002). in Proceedings of Meeting of the Association for Computational Linguistics (ACL-2005). in Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of
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In Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers, NLDB ’02, pages . In Proceedings of the 8th International Conference on Applications of Natural Language to Information Systems, pages . Problems in natural-language interface to dbms with examples from eufid. In Proceedings of the first conference on Applied natural language processing, pages .
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In Pro- ceedings of the ACL-HLT Workshop on Biomedical Natural Language Processing, Oregon, USA, pages 19–27.. Jimeno, A., Jimenez-Ruiz, E., Lee, V., Gaudan, S., Berlanga, R., and Rebholz- Schuhmann, D.(2008). Kabiljo, R., Clegg, A., and Shepherd, A. Kazama, J., Makino, T., Ohta, Y., and Tsujii, J. Kim, J., Ohta, T., Tsuruoka, Y., Tateisi, Y., and Collier, N.
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Các lĩnh vực trong thông minh nhân tạo (AI) ARTIFICIAL INTELLIGENCE ROBOTICS NATURAL LANGUAGE PROCESSING MACHINE LEARNING KNOWLEDGE - BASED SYSTEMS EXPERT SYSTEMS Nhà kho dữ liệu và khai mỏ dữ liệu Tạo DATA WAREHOUSE = Biến đổi dữ liệu thành tri thức yễm trợ tiến trình ra quyết định .
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Khaí niệm: Xử lý ngôn ngữ tự nhiên (natural language processing - NLP) là một nhánh của trí tuệ nhân tạo tập trung vào các ứng dụng trên ngôn ngữ của con người.nó nghiên cứu các vấn đề của thế hệ tự động và hiểu biết về ngôn ngữ của con người tự nhiên.
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Lê Anh Cường ĐHCN - Ensemble Learning and Its Application to Natural Language Processing [email protected] 13. Hoàng Xuân Huấn Machine Learning, Soft computing, Bioinformatics ĐHCN [email protected] 1. Kiểm chứng mô hình các hệ thời gian thực hướng thành [email protected] 15. ĐHCN Language Processing, Machine Learning, Business [email protected] Intelligence. ĐHCN Email: [email protected] [email protected] TS. ĐHCN Email: [email protected] PGS. Thái ĐHCN - Học máy [email protected] PGS.TS.
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In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT ’05, pages 339–346, Stroudsburg, PA, USA, 2005. In Proceedings of the 21st international jont conference on Artifical intelli- gence, IJCAI’09, pages San Francisco, CA, USA, 2009. In Proceedings of the 8th ACM conference on Electronic commerce, EC ’07, pages 182–191, New York, NY, USA, 2007.
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THÔNG TIN CHUNG Tên môn học (tiếng Việt): Xử lý ngôn ngữ tự nhiên Tên môn học (tiếng Anh): Natural Language Processing Mã môn học: CS221 Thuộc khối kiến thức: Chuyên ngành Khoa/Bộ môn phụ trách: Khoa học máy tính, Bộ môn Xử lý ngôn ngữ tự nhiên Website môn học Giảng viên phụ trách: TS. MỤC TIÊU MÔN HỌC Môn học nhằm cung cấp cho sinh viên những kiến thức căn bản của chuyên ngành Xử lý ngôn ngữ tự nhiên, bao gồm các nội dung về. Văn phạm phi ngữ cảnh.
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Neither of the proposed algorithms is language dependent.. In fact, practically all applications of speech technologies in the countries of the Western Balkans (Pekar et al., 2010) are based on ASR and TTS components described in this chapter.. Proceedings of the 3 rd Conference on Applied Natural Language Processing, pp. Proceedings of the 3rd International Conference on Language Resources and Evaluation, pp. Proceedings of the DARPA Speech and Natural Language Workshop, pp
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In In Proceedings of the Applied Natural Language Processing Conference (ANLP-97), page . In Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 17–20, Gothenburg, Sweden, April 2014. In Proceedings of the First World Congress of the International Federation for Systems Research: The New Roles of Systems Sciences For a Knowledge-based Society, 2005.. A new approach to unsupervised text summarization.
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Paper presented at the Pro- ceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver.. Pro- ceedings of the 2008 ACM symposium on Applied computing Dave, K., Lawrence, S., &. Paper presented at the Proceedings of the 12th international conference on World Wide Web..
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Domain Adaptation of Natural Language Processing Systems, PhD Thesis, The University of Pennsylvania.. [11] Patricia N., Caputo, B., (2014), Learning to learn, from transfer learning to domain adaptation: a unifying perspective, Proc. [14] Rui Xia , Jianfei Yu , Feng Xu , and Shumei Wang, (2014), Instance-Based Domain Adaptation in NLP via In-Target-Domain Logistic Approximation, 28 th AAAI.. [21] Daume III H, (2007), Frustratingly Easy Domain Adaptation
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In Proceedings of the 4th Annual Meeting of the (Japanese) Association for Natural Language Processing, pp. Automatic User-Adaptive Speaking Rate Selection for Informa- tion Delivery
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Collins (2012) "A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing", Volume 45, pages 305-362 Abstract | PDF | PostScript | doi:10.1613/jair.3680 R. Neville (2012) "Transforming Graph Data for Statistical Relational Learning", Volume 45, pages 363-441 Abstract | PDF | PostScript | doi:10.1613/jair.3659 I.
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Lexical descriptions for Vietnamese language processing. Proceedings of the Asian Language Resources Workshop (to appear), IJC-NLP 2004, Hainan, CN.. A case study of the probabilistic tagger QTAG for Tagging Vietnamese Texts
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Other researchers propose that children come to acquire the adult number system by conjoining properties of the two pre-linguistic number systems via natural language.
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Hai thếhệ đầu tiên ra đời ngay sau đó: MacLisp và InterLisp Đầu thập niên 80, có12hệLisp khác nhau CommonLispchuẩn ra đời năm 1984Franz-LispZeta-Lisp BK TP.HCM Slide 4/67 Nguy ễ n Th ị Trúc Viên Ngôn ng ữ l ậ p trình Lisp Lisp –Các ứng dụng Expert problem solvers Common reasoning Learning Natural-language interfaces Education and intelligent support systems Speech and vision 3 BK TP.HCM Slide 5/67 Nguy ễ n Th ị Trúc Viên Ngôn ng ữ l ậ p trình Lisp Ngôn ngữ hướng chức năng Từ khi
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One of the main reasons for including speaking activities in language lessons is to help students develop habits of rapid language processing in English. Sociolinguistic knowledge: knowledge of language alone does not adequately prepare learners for effective and appropriate use of the target language. One of the most recognized of. An enhancement of the learner’s own personal experiences as important contributing elements to classroom learning..
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One of the main reasons for including speaking activities in language lessons is to help students develop habits of rapid language processing in English. Sociolinguistic knowledge: knowledge of language alone does not adequately prepare learners for effective and appropriate use of the target language. One of the most recognized of. An enhancement of the learner’s own personal experiences as important contributing elements to classroom learning..
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However, there is some suggestion in the literature on En- glish language learning that learning a second language ac- tually facilitates the acquisition of literacy skills presumably through transfer. In fact, several studies have examined the reading skills of ELLs in both the native and second language to determine if phonological processing skills are correlated in the two languages.