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Hits 1 – 20 of 1.037

1	Deep learning approaches to text production
	Narayan, Shashi; Gardent, Claire. - [San Rafael, California] : Morgan & Claypool Publishers, 2020
	Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2	Terminologies augmented recurrent neural network model for clinical named entity recognition
	Lerner, Ivan; Paris, Nicolas; Tannier, Xavier
	In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-02428771 ; Journal of Biomedical Informatics, Elsevier, 2020, 102, pp.103356. ⟨10.1016/j.jbi.2019.103356⟩ (2020)
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3	CAS: corpus of clinical cases in French
	Grabar, Natalia; Dalloux, Clément; Claveau, Vincent
	In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-03021064 ; Journal of Biomedical Semantics, BioMed Central, 2020, ⟨10.1186/s13326-020-00225-x⟩ (2020)
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4	Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
	Colas, Cédric; Karch, Tristan; Lair, Nicolas...
	In: NeurIPS 2020 - 34th Conference on Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-03083158 ; NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada (2020)
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5	Normalisation of 16th and 17th century texts in French and geographical named entity recognition
	Kogkitsidou, Eleni; Gambette, Philippe
	In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
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6	FlauBERT: Unsupervised Language Model Pre-training for French
	Le, Hang; Vial, Loïc; Frej, Jibril...
	In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020)
	BASE
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7	The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
	Neuraz, Antoine; Rance, Bastien; Garcelon, Nicolas...
	In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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8	Evaluation of Embeddings in Medication Domain for Spanish Language Using Joint Natural Language Understanding
	Roca, Surya; Rosset, Sophie; García, José...
	In: IFMBE Proceedings ; https://hal.archives-ouvertes.fr/hal-03294349 ; IFMBE Proceedings, 2020, 8th European Medical and Biological Engineering Conference, 80, pp.510 - 517. ⟨10.1007/978-3-030-64610-3_58⟩ (2020)
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9	Improving Short Text Classification Through Global Augmentation Methods
	Marivate, Vukosi; Sefara, Tshephisho
	In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020)
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10	A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework Based on Multi-Input Neural Network
	Nuhil Mehdy, A. K. M.; Mehrpouyan, Hoda
	In: Computer Science Faculty Publications and Presentations (2020)
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11	Author Identification in Free Texts
	Wang, Yahui (Kay). - : Auckland University of Technology, 2020
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12	Inference Annotation of a Chinese Corpus for Opinion Mining
	YAN, Liyun; Danni, E.; Gan, Mei...
	In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
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13	Lexicon-Grammar based open information extraction from natural language sentences in Italian
	Guarasci, Raffaele; Damiano, Emanuele; Minutolo, Aniello...
	In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-02291746 ; Expert Systems with Applications, Elsevier, 2020, pp.112954. ⟨10.1016/j.eswa.2019.112954⟩ (2020)
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14	Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’
	Prince, Violaine
	In: Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers ; 8th Language and Technology Conference (LTC 2017) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03091307 ; Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers, 12598, pp.273-287, 2020, Lecture Notes in Computer Science, 978-3-030-66526-5. ⟨10.1007/978-3-030-66527-2_20⟩ (2020)
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15	State Machine based Human-Bot Conversation Model and Services
	Zamanirad, Shayan; Benatallah, Boualem; Rodriguez, Carlos...
	In: CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering ; https://hal.archives-ouvertes.fr/hal-03122974 ; CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering, Jun 2020, Grenoble, France. pp.199-214, ⟨10.1007/978-3-030-49435-3_13⟩ (2020)
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16	Place perception from the fusion of different image representation
	Li, Pei; Li, Xinde; Li, Xianghui; Pan, Hong; Khyam, Mohammad O; Noor-A-Rahim, Md; Ge, Shuzhi S
	In: Li, P, Li, X, Li, X, Pan, H, Khyam, MO, Noor-A-Rahim, M, Ge, SS, (2020). Place perception from the fusion of different image representation. Pattern Recognition, Vol. 110, p. 1-11 http://dx.doi.org/10.1016/j.patcog.2020.107680 (2020)
	Abstract: Khyam, MO orcid:0000-0002-1988-2328 ; Inspired by the human way of place understanding, we present a novel indoor place perception network to overcome: 1). the simplicity of existing methods that only use the image features of object regions to recognize the indoor place, 2). insufficient consideration of the semantic information about object attributes and states. By utilizing multi-modal information containing the image and natural language, the proposed method can comprehensively express the attributes, state, and relationships of objects which are beneficial for indoor place understanding and recognition. Specifically, we first present a natural language generation framework based on a Convolution Neural Network (CNN) and Long Short-Term Memory (LSTM) to imitate the process of place understanding. Next, a Convolutional Auto-Encoder (CAE) and a mixed CNN-LSTM are proposed to extract image features and semantic features, respectively. Then, two different fusion strategies, namely feature-level fusion and object-level fusion, are designed to integrate different types of features and features from different objects. The category of the indoor place is finally recognized based on fused information. Comprehensive experiments are conducted on public datasets, and the results verify the effectiveness of the proposed place perception method based on linguistic cues.
	Keyword: 090602 Control Systems; CNN; Convulutional euto-encoder; Indoor place perception; LSTM; Natural language; Robotics and Automation
	URL: http://hdl.cqu.edu.au/10018/1336931 https://doi.org/10.1016/j.patcog.2020.107680
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17	GENERALIZED OPTIMAL LINEAR ORDERS
	Bommasani, Rishi. - 2020
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18	MultiMWE: building a multi-lingual multi-word expression (MWE) parallel corpora
	Han, Lifeng; Jones, Gareth J.F.; Smeaton, Alan F.
	In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2020) MultiMWE: building a multi-lingual multi-word expression (MWE) parallel corpora. In: 12th International Conference on Language Resources and Evaluation (LREC), 11-16 May, 2020, Marseille, France. (Virtual). (2020)
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19	MultiMWE: building a multi-lingual multi-word expression (MWE) Pparallel corpora
	Han, Lifeng; Gareth, Jones; Alan, Smeaton
	In: Han, Lifeng, Gareth, Jones orcid:0000-0003-2923-8365 and Alan, Smeaton orcid:0000-0003-1028-8389 (2020) MultiMWE: building a multi-lingual multi-word expression (MWE) Pparallel corpora. In: International Conference on Language Resources and Evaluation (LREC), 11-16 May, 2020, Marseille, France. (2020)
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20	Using Twitter Streams for Opinion Mining: a case study on Airport Noise
	Meddeb, Iheb; Lavandier, Catherine; Kotzinos, Dimitris
	In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
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