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Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
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In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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| 2 |
Multilingual Epidemic Event Extraction
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In: Towards Open and Trustworthy Digital Societies. 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings ; https://hal.archives-ouvertes.fr/hal-03480551 ; Hao-Ren Ke; Chei Sian Lee; Kazunari Sugiyama. Towards Open and Trustworthy Digital Societies. 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings, 13133, Springer, pp.139-156, 2021, Lecture Notes in Computer Science, 978-3-030-91668-8. ⟨10.1007/978-3-030-91669-5_12⟩ (2021)
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| 5 |
Improving Aphasic Speech Recognition by Using Novel Semi-Supervised Learning Methods on AphasiaBank for English and Spanish
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In: Applied Sciences ; Volume 11 ; Issue 19 (2021)
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| 6 |
BioSGAN: Protein-phenotype Co-mention classification using semi-supervised generative adversarial networks
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In: UNF Faculty Publications (2021)
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| 7 |
On semi-supervised LF-MMI training of acoustic models with limited data
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907924 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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| 8 |
Using External Knowledge to Improve Brown Clustering
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Abstract:
Thesis (Master's)--University of Washington, 2020 ; In recent years, semi-supervised learning methods that rely on using low-dimensional word representation gained interest in NLP, due to their ability take advantage of vastly available unlabeled data and reduce dependence on large, labeled datasets. In this thesis we propose two methods which allow integration of domain specific knowledge to one of the most popular methods for low dimensional word representations – Brown clustering. First, we propose changing the order in which words are clustered so that words more relevant for the task are given priority. Then, we also propose modifying the clustering objective so that it ensures relevance of induced clusters for downstream supervised task. Experiments show that both methods improve performance of NER system using cluster features.
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Keyword:
Artificial intelligence; brown clustering; Computer science; constrained clustering; Linguistics; ner; semi-supervised learning; word representations
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URL: http://hdl.handle.net/1773/46828
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| 9 |
Sequence Covering for Efficient Host-Based Intrusion Detection
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In: ISSN: 1556-6013 ; IEEE Transactions on Information Forensics and Security ; https://hal.archives-ouvertes.fr/hal-01653650 ; IEEE Transactions on Information Forensics and Security, Institute of Electrical and Electronics Engineers, 2019, 14 (4), pp.994-1006. ⟨10.1109/TIFS.2018.2868614⟩ ; https://ieeexplore.ieee.org/document/8454473 (2019)
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| 10 |
LeSSA: A Unified Framework based on Lexicons and Semi-Supervised Learning Approaches for Textual Sentiment Classification
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In: Applied Sciences ; Volume 9 ; Issue 24 (2019)
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| 11 |
Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding
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| 12 |
Mineração de opiniões baseada em aspectos para revisões de produtos e serviços ; Aspect-based Opinion Mining for Reviews of Products and Services
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Yugoshi, Ivone Penque Matsuno. - : Biblioteca Digital de Teses e Dissertações da USP, 2018. : Universidade de São Paulo, 2018. : Instituto de Ciências Matemáticas e de Computação, 2018
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| 13 |
Expansão de recursos para análise de sentimentos usando aprendizado semi-supervisionado ; Extending sentiment analysis resources using semi-supervised learning
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Brum, Henrico Bertini. - : Biblioteca Digital de Teses e Dissertações da USP, 2018. : Universidade de São Paulo, 2018. : Instituto de Ciências Matemáticas e de Computação, 2018
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| 15 |
Strategies to select examples for Active Learning with Conditional Random Fields
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In: CICLing 2017 - 18th International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-01621338 ; CICLing 2017 - 18th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2017, Budapest, Hungary. pp.1-14 (2017)
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| 17 |
Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm
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In: Urban Planning ; 1 ; 2 ; 114-127 (2017)
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| 18 |
Stratégies de sélection des exemples pour l’apprentissage actif avec des champs aléatoires conditionnels
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In: Actes de la conférence TALN 2015 ; Conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01206847 ; Conférence TALN 2015, Jun 2015, Caen, France (2015)
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| 19 |
Inferring Aspect-Specific Opinion Structure in Product Reviews ...
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Carter, David. - : Université d'Ottawa / University of Ottawa, 2015
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A nonparametric Bayesian perspective for machine learning in partially-observed settings ...
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