Persian Named Entity Recognition
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[1] Daniel Sánchez-Cisneros,et al. UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts. , 2013, *SEMEVAL.
[2] Gowri Prasad,et al. Named entity recognition approaches: A study applied to English and Hindi language , 2015, 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015].
[3] Georgios Paliouras,et al. Named-Entity Recognition from Greek and English Texts , 1999, J. Intell. Robotic Syst..
[4] Scharolta Katharina Sien. Adapting word2vec to Named Entity Recognition , 2015 .
[5] Qi He,et al. Tweet Segmentation and Its Application to Named Entity Recognition , 2015, IEEE Transactions on Knowledge and Data Engineering.
[6] Raphaël Troncy,et al. Making Sense of Microposts (#Microposts2016) Named Entity rEcognition and Linking (NEEL) Challenge , 2015, #Microposts.
[7] Hua Xu,et al. Research and applications: A comprehensive study of named entity recognition in Chinese clinical text , 2014, J. Am. Medical Informatics Assoc..
[8] Qiang Zhou,et al. PerSent: A Freely Available Persian Sentiment Lexicon , 2016, BICS.
[9] Hongyu Guo,et al. The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition , 2015, NAACL.
[10] Qiang Zhou,et al. Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques , 2016, Cognitive Computation.
[11] Khaled Shaalan,et al. A Survey of Arabic Named Entity Recognition and Classification , 2014, CL.
[12] Walaa Medhat,et al. Sentiment analysis algorithms and applications: A survey , 2014 .
[13] Raphaël Troncy,et al. Analysis of named entity recognition and linking for tweets , 2014, Inf. Process. Manag..
[14] Thierry Hamon,et al. CLEF eHealth Evaluation Lab 2015 Task 1b: Clinical Named Entity Recognition , 2015, CLEF.
[15] Mona T. Diab,et al. Named Entity Recognition for Arabic Social Media , 2015, VS@HLT-NAACL.