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ORCIDNLP-TEA@COLING 2016: Osaka, Japan
- Hsin-Hsi Chen, Yuen-Hsien Tseng, Vincent Ng, Xiaofei Lu:
Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications, NLP-TEA@COLING 2016, Osaka, Japan, December 12, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-717-4 - Jun Liu, Yuji Matsumoto:
Simplification of Example Sentences for Learners of Japanese Functional Expressions. 1-5 - Katsunori Kotani, Takehiko Yoshimi:
Effectiveness of Linguistic and Learner Features to Listenability Measurement Using a Decision Tree Classifier. 6-10 - Arkanath Pathak, Pawan Goyal, Plaban Kumar Bhowmick:
A Two-Phase Approach Towards Identifying Argument Structure in Natural Language. 11-19 - Oliver Adams, Shourya Roy, Raghuram Krishnapuram:
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading. 20-29 - Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan:
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation. 30-39 - Lung-Hao Lee, Gaoqi Rao, Liang-Chih Yu, Endong Xun, Baolin Zhang, Li-Ping Chang:
Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis. 40-48 - Bo Zheng, Wanxiang Che, Jiang Guo, Ting Liu:
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks. 49-56 - Yajun Liu, Yingjie Han, Liyan Zhuo, Hongying Zan:
Automatic Grammatical Error Detection for Chinese based on Conditional Random Field. 57-62 - Po-Lin Chen, Shih-Hung Wu, Liang-Pu Chen, Ping-Che Yang:
CYUT-III System at Chinese Grammatical Error Diagnosis Task. 63-72 - Wei-Chieh Chou, Chin-Kui Lin, Yuan-Fu Liao, Yih-Ru Wang:
Word Order Sensitive Embedding Features/Conditional Random Field-based Chinese Grammatical Error Detection. 73-81 - Shourya Roy, Sandipan Dandapat, Y. Narahari:
A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading. 82-91 - Muhaimin Hading, Yuji Matsumoto, Maki Sakamoto:
Japanese Lexical Simplification for Non-Native Speakers. 92-96 - Shuyuan Cao, Iria da Cunha, Mikel Iruskieta:
A Corpus-based Approach for Spanish-Chinese Language Learning. 97-106 - Luís Morgado da Costa, Francis Bond, Xiaoling He:
Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning using Machine Translation. 107-116 - Ruslan Kalitvianski, Ling Xiao Wang, Valérie Bellynck, Christian Boitet:
An Aligned French-Chinese corpus of 10K segments from university educational material. 117-121 - Nasser Zalmout, Hind Saddiki, Nizar Habash:
Analysis of Foreign Language Teaching Methods: An Automatic Readability Approach. 122-130 - Shao-Heng Chen, Yu-Lin Tsai, Chuan-Jie Lin:
Generating and Scoring Correction Candidates in Chinese Grammatical Error Diagnosis. 131-139 - Jui-Feng Yeh, Tsung-Wei Hsu, Chan-Kun Yeh:
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning. 140-147 - Shen Huang, Houfeng Wang:
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis. 148-154 - Jinnan Yang, Bo Peng, Jin Wang, Jixian Zhang, Xuejie Zhang:
Chinese Grammatical Error Diagnosis Using Single Word Embedding. 155-161
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