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Publication search results
found 31 matches
- 2018
- Aneesha Bakharia:
Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities. NLP-TEA@ACL 2018: 88-92 - Muthu Kumar Chandrasekaran, Min-Yen Kan:
Countering Position Bias in Instructor Interventions in MOOC Discussion Forums. NLP-TEA@ACL 2018: 135-142 - Tirthankar Dasgupta, Abir Naskar, Lipika Dey, Rupsa Saha:
Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring. NLP-TEA@ACL 2018: 93-102 - Takshak Desai, Parag Dakle, Dan I. Moldovan:
Generating Questions for Reading Comprehension using Coherence Relations. NLP-TEA@ACL 2018: 1-10 - Gemma Bel Enguix, Diana Dueñas Chavez, Arturo Curiel Díaz:
Textual Features Indicative of Writing Proficiency in Elementary School Spanish Documents. NLP-TEA@ACL 2018: 113-118 - 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. NLP-TEA@ACL 2018: 52-59 - Dzikri Fudholi, Hanna Suominen:
The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid. NLP-TEA@ACL 2018: 83-87 - Qinan Hu, Yongwei Zhang, Fang Liu, Yueguo Gu:
Ling@CASS Solution to the NLP-TEA CGED Shared Task 2018. NLP-TEA@ACL 2018: 70-76 - Katsunori Kotani, Takehiko Yoshimi:
Assessment of an Index for Measuring Pronunciation Difficulty. NLP-TEA@ACL 2018: 119-124 - Oi Yee Kwong:
From Fidelity to Fluency: Natural Language Processing for Translator Training. NLP-TEA@ACL 2018: 130-134 - Herbert Lange, Peter Ljunglöf:
MULLE: A grammar-based Latin language learning tool to supplement the classroom setting. NLP-TEA@ACL 2018: 108-112 - Dieu-Thu Le, Cam-Tu Nguyen, Xiaoliang Wang:
Joint learning of frequency and word embeddings for multilingual readability assessment. NLP-TEA@ACL 2018: 103-107 - Changliang Li, Ji Qi:
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model. NLP-TEA@ACL 2018: 77-82 - Chen Li, Junpei Zhou, Zuyi Bao, Hengyou Liu, Guangwei Xu, Linlin Li:
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction. NLP-TEA@ACL 2018: 60-69 - Henry Lin:
Syntactic and Lexical Approaches to Reading Comprehension. NLP-TEA@ACL 2018: 11-19 - Chuan-Jie Lin, Shao-Heng Chen:
Detecting Grammatical Errors in the NTOU CGED System by Identifying Frequent Subsentences. NLP-TEA@ACL 2018: 203-206 - Yajun Liu, Hongying Zan, Mengjie Zhong, Hongchao Ma:
Detecting Simultaneously Chinese Grammar Errors Based on a BiLSTM-CRF Model. NLP-TEA@ACL 2018: 188-193 - Nabin Maharjan, Vasile Rus:
A Tutorial Markov Analysis of Effective Human Tutorial Sessions. NLP-TEA@ACL 2018: 30-34 - Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Yuichi Ono:
Learning to Automatically Generate Fill-In-The-Blank Quizzes. NLP-TEA@ACL 2018: 152-156 - Sandeep Mathias, Pushpak Bhattacharyya:
Thank "Goodness"! A Way to Measure Style in Student Essays. NLP-TEA@ACL 2018: 35-41 - Gaoqi Rao, Qi Gong, Baolin Zhang, Endong Xun:
Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis. NLP-TEA@ACL 2018: 42-51 - Hind Saddiki, Nizar Habash, Violetta Cavalli-Sforza, Muhamed Al-Khalil:
Feature Optimization for Predicting Readability of Arabic L1 and L2. NLP-TEA@ACL 2018: 20-29 - 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. NLP-TEA@ACL 2018: 143-151 - 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. NLP-TEA@ACL 2018: 157-164 - Yiyi Wang, Chilin Shih:
A Hybrid Approach Combining Statistical Knowledge with Conditional Random Fields for Chinese Grammatical Error Detection. NLP-TEA@ACL 2018: 194-198 - Shih-Hung Wu, Wen-Feng Shih:
A Short Answer Grading System in Chinese by Support Vector Approach. NLP-TEA@ACL 2018: 125-129 - 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. NLP-TEA@ACL 2018: 199-202 - Yongwei Zhang, Qinan Hu, Fang Liu, Yueguo Gu:
CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task. NLP-TEA@ACL 2018: 180-187 - Jianbo Zhao, Si Li, Zhiqing Lin:
Contextualized Character Representation for Chinese Grammatical Error Diagnosis. NLP-TEA@ACL 2018: 172-179 - Yujie Zhou, Yinan Shao, Yong Zhou:
Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model. NLP-TEA@ACL 2018: 165-171
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