Table of Contents

• IJCNLP-2017 Task 1: Chinese Grammatical Error DiagnosisGaoqi Rao, Baolin Zhang, Endong Xun, Lung-Hao Lee. 1-8 [doi]
• IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese PhrasesLiang-Chih Yu, Lung-Hao Lee, Jin Wang, Kam-Fai Wong. 9-16 [doi]
• IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian McAuley. 17-25 [doi]
• IJCNLP-2017 Task 4: Customer Feedback AnalysisChao-Hong Liu, Yasufumi Moriya, Alberto Poncelas, Declan Groves. 26-33 [doi]
• IJCNLP-2017 Task 5: Multi-choice Question Answering in ExaminationsShangmin Guo, Kang Liu 0001, Shizhu He, Cao Liu, Jun Zhao 0001, Zhuoyu Wei. 34-40 [doi]
• Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis TaskYi Yang, Pengjun Xie, Jun Tao, Guangwei Xu, Linlin Li, Si Luo. 41-46 [doi]
• THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTMChuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan. 47-52 [doi]
• IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion DiversificationPruthwik Mishra, Prathyusha Danda, Silpa Kanneganti, Soujanya Lanka. 53-58 [doi]
• Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback ClassificationHeba Elfardy, Manisha Srivastava, Wei Xiao, Jared Kramer, Tarun Agarwal. 59-66 [doi]
• ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared TaskDaria Dzendzik, Alberto Poncelas, Carl Vogel, Qun Liu. 67-72 [doi]
• YNU-HPCC at IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis Using a Bi-directional LSTM-CRF ModelQuanlei Liao, Jin Wang, Jinnan Yang, Xuejie Zhang. 73-77 [doi]
• CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis TaskXian Li, Peng Wang, Suixue Wang, Guanyu Jiang, Tianyuan You. 78-83 [doi]
• LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine LearningPeng Zhong, Jingbin Wang. 84-88 [doi]
• CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for PhrasesPeng-Hsuan Li, Wei-Yun Ma, Hsin-Yang Wang. 89-94 [doi]
• CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and PhrasesZheng-Wen Lin, Yung-Chun Chang, Chen-Ann Wang, Yu-Lun Hsieh, Wen-Lian Hsu. 95-99 [doi]
• Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese PhrasesXin Zhou, Jian Wang, Xu Xie, Changlong Sun, Luo Si. 100-104 [doi]
• NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment AnalysisSzu-Min Chen, Zi-Yuan Chen, Lun-Wei Ku. 105-111 [doi]
• NCYU at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases using Vector RepresentationsJui-Feng Yeh, Jian-Cheng Tsai, Bo-Wei Wu, Tai-You Kuang. 112-117 [doi]
• MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal PredictionYassine Benajiba, Jin Sun, Yong Zhang, Zhiliang Weng, Or Biran. 118-123 [doi]
• NCTU-NTUT at IJCNLP-2017 Task 2: Deep Phrase Embedding using bi-LSTMs for Valence-Arousal Ratings Prediction of Chinese PhrasesYen-Hsuan Lee, Han-Yun Yeh, Yih-Ru Wang, Yuan-Fu Liao. 124-129 [doi]
• NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and PhrasesChuan-Jie Lin, Hao-Tsung Chang. 130-133 [doi]
• CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion DiversificationShih-Hung Wu, Su-Yu Chang, Liang-Pu Chen. 134-137 [doi]
• JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion DiversificationMonalisa Dey, Anupam Mondal, Dipankar Das. 138-142 [doi]
• All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All LanguagesBarbara Plank. 143-148 [doi]
• SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN ModelShuying Lin, Huosheng Xie, Liang-Chih Yu, K. Robert Lai. 149-154 [doi]
• IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network ApproachesPrathyusha Danda, Pruthwik Mishra, Silpa Kanneganti, Soujanya Lanka. 155-160 [doi]
• ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis taskPintu Lohar, Koel Dutta Chowdhury, Haithem Afli, Mohammed Hasanuzzaman, Andy Way. 161-169 [doi]
• OhioState at IJCNLP-2017 Task 4: Exploring Neural Architectures for Multilingual Customer Feedback AnalysisDushyanta Dhyani. 170-173 [doi]
• YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of EnglishNan Wang, Jin Wang, Xuejie Zhang. 174-179 [doi]
• NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback AnalysisSomnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alexander F. Gelbukh. 180-183 [doi]
• IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU NetworkDeepak Gupta, Pabitra Lenka, Harsimran Bedi, Asif Ekbal, Pushpak Bhattacharyya. 184-193 [doi]
• YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in ExaminationsMin Wang, Qingxun Liu, Peng Ding, Yongbin Li, Xiaobing Zhou. 194-198 [doi]
• ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in ExamsChangliang Li, Cunliang Kong. 199-202 [doi]
• MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in ExaminationsAmir Hazem. 203-207 [doi]
• YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM ModelHang Yuan, You Zhang, Jin Wang, Xuejie Zhang. 208-212 [doi]
• JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering SystemSandip Sarkar, Dipankar Das, Partha Pakray. 213-216 [doi]