Workshop on Natural Language Processing Techniques for Educational Applications 2018: all accepted papers
- Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring ↗Tirthankar Dasgupta, Abir Naskar, Lipika Dey et al.75 citations
- Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis ↗Gaoqi Rao, Qi Gong, Baolin Zhang et al.43 citations
- Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement ↗Ruiji Fu, Zhengqi Pei, Jiefu Gong et al.20 citations
- Learning to Automatically Generate Fill-In-The-Blank Quizzes ↗Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo et al.19 citations
- Feature Optimization for Predicting Readability of Arabic L1 and L2Hind Saddiki, Nizar Habash, Violetta Cavalli-Sforza et al.16 citations · our summary
- Thank “Goodness”! A Way to Measure Style in Student Essays ↗Sandeep Mathias, Pushpak Bhattacharyya14 citations
- Generating Questions for Reading Comprehension using Coherence Relations ↗Takshak Desai, Parag Dakle, Dan Moldovan10 citations
- A Hybrid System for Chinese Grammatical Error Diagnosis and Correction ↗Chen Li, Junpei Zhou, Zuyi Bao et al.9 citations
- A Short Answer Grading System in Chinese by Support Vector Approach ↗Shih-Hung Wu, Wen-Feng Shih8 citations
- CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task ↗Shih-Hung Wu, Jun-Wei Wang, Liang-Pu Chen et al.6 citations
- Detecting Simultaneously Chinese Grammar Errors Based on a BiLSTM-CRF Model ↗Yajun Liu, Hongying Zan, Mengjie Zhong et al.6 citations
- MULLE: A grammar-based Latin language learning tool to supplement the classroom setting ↗Herbert Lange, Peter Ljunglöf6 citations
- Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model ↗Yujie Zhou, Yinan Shao, Yong Zhou5 citations
- Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model ↗Changliang Li, Ji Qi5 citations
- A Tutorial Markov Analysis of Effective Human Tutorial Sessions ↗Nabin Maharjan, Vasile Rus4 citations
- CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task ↗Yongwei Zhang, Qinan Hu, Fang Liu et al.3 citations
- Countering Position Bias in Instructor Interventions in MOOC Discussion Forums ↗Muthu Kumar Chandrasekaran, Min-Yen Kan3 citations
- From Fidelity to Fluency: Natural Language Processing for Translator Training ↗Oi Yee Kwong2 citations
- Joint learning of frequency and word embeddings for multilingual readability assessment ↗Dieu-Thu Le, Cam-Tu Nguyen, Xiaoliang Wang2 citations
- Ling@CASS Solution to the NLP-TEA CGED Shared Task 2018 ↗Qinan Hu, Yongwei Zhang, Fang Liu et al.2 citations
- Multilingual Short Text Responses Clustering for Mobile Educational Activities: a Preliminary Exploration ↗Yuen-Hsien Tseng, Lung-Hao Lee, Yu-Ta Chien et al.2 citations
- Textual Features Indicative of Writing Proficiency in Elementary School Spanish Documents ↗Gemma Bel-Enguix, Diana Dueñas Chávez, Arturo Curiel Díaz2 citations
- The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid ↗Dzikri Fudholi, Hanna Suominen2 citations
- A Hybrid Approach Combining Statistical Knowledge with Conditional Random Fields for Chinese Grammatical Error Detection ↗Yiyi Wang, Chilin Shih1 citation
- Assessment of an Index for Measuring Pronunciation Difficulty ↗Katsunori Kotani, Takehiko Yoshimi1 citation
- Detecting Grammatical Errors in the NTOU CGED System by Identifying Frequent Subsentences ↗Chuan-Jie Lin, Shao-Heng Chen1 citation
- Syntactic and Lexical Approaches to Reading Comprehension ↗Henry Lin1 citation
- Contextualized Character Representation for Chinese Grammatical Error Diagnosis ↗Jianbo Zhao, Si Li, Zhiqing Lin
- Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features ↗Hayato Shiokawa, Kota Kawaguchi, Bingcai Han et al.
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