| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1]. Christoph Kofler, Martha Larson, Alan Hanjalic, User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges. ACM Journals.Computing Surveys, Vol. 49, No. 2, August 2016 |
Sách, tạp chí |
| Tiêu đề: |
User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges |
|
| [2]. R. Song, Z. Luo, J.-Y. Nie, Y. Yu and H.-W. Hon, Identification of ambiguous queries in web search. Information Processing & Management, 45(2), pages 216–229, 2009 |
Sách, tạp chí |
| Tiêu đề: |
Identification of ambiguous queries in web search |
|
| [3]. W. Song, Y. Liu, L. Liu et al., Semantic composition of distributed representations for query subtopic mining. Frontiers Inf Technol Electronic Eng 19, 2018 |
Sách, tạp chí |
| Tiêu đề: |
Semantic composition of distributed representations for query subtopic mining |
|
| [5]. S. Gaou, A. Bekkari, The Optimization of Search Engines to Improve the Ranking to Detect User’s Intent. In Advanced Information Technology, Services and Systems.(AIT2S) 2017 |
Sách, tạp chí |
| Tiêu đề: |
The Optimization of Search Engines to Improve the Ranking to Detect User’s Intent |
|
| [6]. Dirk Lewandowski, Jessica Drechsler, Sonja von Mach, Deriving query intents from web search engine queries. Journal of the American Society for Information Science and Technology, September 2012 |
Sách, tạp chí |
| Tiêu đề: |
Deriving query intents from web search engine queries |
|
| [8]. Li, Jing & Sun, Aixin & Han, Ray & Li, Chenliang, A Survey on Deep Learning for Named Entity Recognition. In IEEE Transactions on Knowledge and Data Engineering, 2020 |
Sách, tạp chí |
| Tiêu đề: |
A Survey on Deep Learning for Named Entity Recognition |
|
| [9]. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen and H. Li, Towards context- aware search by learning a very large variable length hidden markov model from search logs. In Proceedings of the 18th international conference on World wide web, pages 191–200, April 2009 |
Sách, tạp chí |
| Tiêu đề: |
Towards context-aware search by learning a very large variable length hidden markov model from search logs |
|
| [10]. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, E and H. Li, Context-aware query suggestion by mining click-through and session data. In Proceedings of KDD, pages 875-883, 2008 |
Sách, tạp chí |
| Tiêu đề: |
Context-aware query suggestion by mining click-through and session data |
|
| [11]. Peter D. Turney, The latent relation mapping engine: Algorithm and experiments. Journal of Artificial Intelligence Research (JAIR), 33, pages 615-655, 2008 |
Sách, tạp chí |
| Tiêu đề: |
The latent relation mapping engine: Algorithm and experiments |
|
| [12]. Dedre Gentner, Structure-mapping: A Theoretical Framework for Analogy. Elsevier. Cognitive Science, Volume 7, Issue 2, pages 155-170, April–June 1983 |
Sách, tạp chí |
| Tiêu đề: |
Structure-mapping: A Theoretical Framework for Analogy |
|
| [13]. Peter D. Turney, M.L. Littman, Corpus-based Learning of Analogies and Semantic Relations. Machine Learning, 60(1–3), pages 251–278, 2005 |
Sách, tạp chí |
| Tiêu đề: |
Corpus-based Learning of Analogies and Semantic Relations |
|
| [14]. Peter D. Turney, Distributional semantics beyond words: Supervised learning of analogy and paraphrase. Transactions of the Association for Computational Linguistics (TACL), 1, pages 353-366, 2013 |
Sách, tạp chí |
| Tiêu đề: |
Distributional semantics beyond words: Supervised learning of analogy and paraphrase |
|
| [15]. Peter D. Turney and P. Pantel, From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research (JAIR), 37, pages 141-188, 2010 |
Sách, tạp chí |
| Tiêu đề: |
From frequency to meaning: Vector space models of semantics |
|
| [16]. Peter D. Turney, Similarity of semantic relations. Computational Linguistics, 32(3), 2006 |
Sách, tạp chí |
| Tiêu đề: |
Similarity of semantic relations |
|
| [17]. Bollegala, Danushka & Matsuo, Yutaka & Ishizuka, Mitsuru, Measuring the Similarity between Implicit Semantic Relations from the Web. Proceedings of WWW, pages 651-660, 2009 |
Sách, tạp chí |
| Tiêu đề: |
Measuring the Similarity between Implicit Semantic Relations from the Web |
|
| [18]. Duc, N., Bollegala et al., Cross-Language Latent Relational Search: Mapping Knowledge across Languages. In Association for the Advancement of AI, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Cross-Language Latent Relational Search: Mapping Knowledge across Languages |
|
| [19]. Kato et al., Query by analogical example: relational search using web search engine indices. In Proceedings of the 18th ACM conference on Information and knowledge management. ACM, 2009 |
Sách, tạp chí |
| Tiêu đề: |
Query by analogical example: relational search using web search engine indices |
|
| [20]. Y.J. Cao et al., Relational Similarity Measure: An Approach Combining Wikipedia and WordNet. Journal of Applied Mechanics and Materials, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Relational Similarity Measure: An Approach Combining Wikipedia and WordNet |
|
| [21]. E. Agirre, E. Alfonseca, K. Hall, J. Kravalova, M. Pasca and A. Soroa, A study on similarity and relatedness using distributional and wordnet-based approaches. In NAACL ’09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 19–27, 2009 |
Sách, tạp chí |
| Tiêu đề: |
A study on similarity and relatedness using distributional and wordnet-based approaches |
|
| [22]. Mikolov et al., Distributed Representations of Words and Phrases and their Compositionality. In Advances in Neural Information Processing Systems 26 (NIPS) |
Sách, tạp chí |
| Tiêu đề: |
Distributed Representations of Words and Phrases and their Compositionality |
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