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Arabizi Language Models for Sentiment Analysis

• Authors : Guillaume Gadek; Gaétan Baert; Souhir Gahbiche ...

Subjects: Computer science; Arabic; business.industry

• Source: Proceedings of the 28th International Conference on Computational LinguisticsProceedings of the 28th International Conference on Computational Linguistics, Dec 2020, Barcelona, Spain.

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Detecting Adverse Drug Events with Rapidly Trained Classification Models

• Authors : Alec B. Chapman; Olga V. Patterson; Scott L. DuVall

Subjects: Feature engineering; Conditional random field; Drug-Related Side Effects and Adverse Reactions

• Source: Drug Safety

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2L-APD: A Two-Level Plagiarism Detection System for Arabic Documents

• Authors : El Moatez Billah Nagoudi; Ahmed Khorsi; Hadda Cherroun

Subjects: General Computer Science; Arabic; business.industry

• Source: Cybernetics and Information Technologies. 18:124-138

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Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings

• Authors : Sherri Rose; Katie Dean; Robert E. Schoen

Subjects: Knowledge management; Medical Records Systems, Computerized; media_common.quotation_subject

• Source: Journal of the American Medical Informatics Association. 24:986-991

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Demo Application for the AutoGOAL Framework

• Authors : Rafael Muñoz-Guillena; Andrés Montoyo; Alejandro Piad-Morffis ...

Subjects: Source code; Computer science; business.industry

• Source: RUA. Repositorio Institucional de la Universidad de AlicanteUniversidad de Alicante (UA)COLING (Demonstrations)

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An adaptive approach for word sense disambiguation for Hindi language

• Authors : Vimal Kumar Soni; Dinesh Gopalaniî; Mahesh Chandra Govil

Subjects: Hindi; Word-sense disambiguation; Computer science

• Source: IOP Conference Series: Materials Science and Engineering. 1131:012022

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A dataset to evaluate Hindi Word Embeddings

• Authors : Mahesh Chandra Govil; Dinesh Gopalani; Vimal Kumar Soni

Subjects: Hindi; ComputingMethodologies_PATTERNRECOGNITION; business.industry

• Source: IOP Conference Series: Materials Science and Engineering. 1131:012015

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Segmenting and POS tagging Classical Tibetan using a memory-based tagger

• Authors : Marieke Meelen; Nathan W. Hill

Subjects: Computer science; business.industry; Text segmentation

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Entity recognition from clinical texts via recurrent neural network

• Authors : Zengjian Liu; Buzhou Tang; Ming Yang

Subjects: Feature engineering; Conditional random field; 020205 medical informatics

• Source: BMC Medical Informatics and Decision MakingBMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 53-61 (2017)

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Sentiment analysis and the complex natural language

• Authors : Kamran Habib Khan; Armughan Ali; Muhammad Taimoor Khan

Subjects: business.industry; Computer science; Applied Mathematics

• Source: Complex Adaptive Systems Modeling. 4(1)

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