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ORCIDNLP-TEA@ACL 2018: Melbourne, Australia
- Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi:
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, NLP-TEA@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-35-3 - Takshak Desai, Parag Dakle, Dan I. Moldovan:
Generating Questions for Reading Comprehension using Coherence Relations. 1-10 - Henry Lin:
Syntactic and Lexical Approaches to Reading Comprehension. 11-19 - Hind Saddiki, Nizar Habash
, Violetta Cavalli-Sforza, Muhamed Al-Khalil:
Feature Optimization for Predicting Readability of Arabic L1 and L2. 20-29 - Nabin Maharjan, Vasile Rus:
A Tutorial Markov Analysis of Effective Human Tutorial Sessions. 30-34 - Sandeep Mathias, Pushpak Bhattacharyya:
Thank "Goodness"! A Way to Measure Style in Student Essays. 35-41 - Gaoqi Rao, Qi Gong, Baolin Zhang, Endong Xun:
Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis. 42-51 - Ruiji Fu, Zhengqi Pei, Jiefu Gong, Wei Song, Dechuan Teng, Wanxiang Che, Shijin Wang, Guoping Hu, Ting Liu:
Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement. 52-59 - Chen Li, Junpei Zhou, Zuyi Bao, Hengyou Liu, Guangwei Xu, Linlin Li:
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction. 60-69 - Qinan Hu, Yongwei Zhang, Fang Liu, Yueguo Gu:
Ling@CASS Solution to the NLP-TEA CGED Shared Task 2018. 70-76 - Changliang Li, Ji Qi:
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model. 77-82 - Dzikri Fudholi, Hanna Suominen:
The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid. 83-87 - Aneesha Bakharia:
Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities. 88-92 - Tirthankar Dasgupta, Abir Naskar, Lipika Dey, Rupsa Saha:
Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring. 93-102 - Dieu-Thu Le, Cam-Tu Nguyen, Xiaoliang Wang:
Joint learning of frequency and word embeddings for multilingual readability assessment. 103-107 - Herbert Lange, Peter Ljunglöf:
MULLE: A grammar-based Latin language learning tool to supplement the classroom setting. 108-112 - Gemma Bel Enguix, Diana Dueñas Chavez, Arturo Curiel Díaz:
Textual Features Indicative of Writing Proficiency in Elementary School Spanish Documents. 113-118 - Katsunori Kotani, Takehiko Yoshimi:
Assessment of an Index for Measuring Pronunciation Difficulty. 119-124 - Shih-Hung Wu, Wen-Feng Shih:
A Short Answer Grading System in Chinese by Support Vector Approach. 125-129 - Oi Yee Kwong:
From Fidelity to Fluency: Natural Language Processing for Translator Training. 130-134 - Muthu Kumar Chandrasekaran, Min-Yen Kan:
Countering Position Bias in Instructor Interventions in MOOC Discussion Forums. 135-142 - Hayato Shiokawa, Kota Kawaguchi, Bingcai Han, Takehito Utsuro, Yasuhide Kawada, Masaharu Yoshioka, Noriko Kando:
Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features. 143-151 - Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Yuichi Ono:
Learning to Automatically Generate Fill-In-The-Blank Quizzes. 152-156 - Yuen-Hsien Tseng, Lung-Hao Lee, Yu-Ta Chien, Chun-Yen Chang, Tsung-Yen Li:
Multilingual Short Text Responses Clustering for Mobile Educational Activities: a Preliminary Exploration. 157-164 - Yujie Zhou, Yinan Shao, Yong Zhou:
Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model. 165-171 - Jianbo Zhao, Si Li, Zhiqing Lin:
Contextualized Character Representation for Chinese Grammatical Error Diagnosis. 172-179 - Yongwei Zhang, Qinan Hu, Fang Liu, Yueguo Gu:
CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task. 180-187 - Yajun Liu, Hongying Zan, Mengjie Zhong, Hongchao Ma:
Detecting Simultaneously Chinese Grammar Errors Based on a BiLSTM-CRF Model. 188-193 - Yiyi Wang, Chilin Shih:
A Hybrid Approach Combining Statistical Knowledge with Conditional Random Fields for Chinese Grammatical Error Detection. 194-198 - Shih-Hung Wu, Jun-Wei Wang, Liang-Pu Chen, Ping-Che Yang:
CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task. 199-202 - Chuan-Jie Lin, Shao-Heng Chen:
Detecting Grammatical Errors in the NTOU CGED System by Identifying Frequent Subsentences. 203-206
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