Papers
IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches
Prathyusha Danda, Pruthwik Mishra, Silpa Kanneganti et al.
IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network
Deepak Gupta, Pabitra Lenka, Harsimran Bedi et al.
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis
Gaoqi Rao, Baolin Zhang, Endong Xun et al.
IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases
Liang-Chih Yu, Lung-Hao Lee, Jin Wang et al.
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)
Anil Kumar Singh, Avijit Thawani, Mayank Panchal et al.
IJCNLP-2017 Task 4: Customer Feedback Analysis
Chao-Hong Liu, Yasufumi Moriya, Alberto Poncelas et al.
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations
Shangmin Guo, Kang Liu, Shizhu He et al.
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
Nasrin Mostafazadeh, Chris Brockett, Bill Dolan et al.
Imagination Improves Multimodal Translation
Desmond Elliott, Ákos Kádár
Implicit Syntactic Features for Target-dependent Sentiment Analysis
Yuze Gao, Yue Zhang, Tong Xiao
Improving Black-box Speech Recognition using Semantic Parsing
Rodolfo Corona, Jesse Thomason, Raymond Mooney
Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments
Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens
Improving Japanese-to-English Neural Machine Translation by Voice Prediction
Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato et al.
Improving Neural Machine Translation through Phrase-based Forced Decoding
Jingyi Zhang, Masao Utiyama, Eiichro Sumita et al.
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels
Itsumi Saito, Jun Suzuki, Kyosuke Nishida et al.
Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le, Ander Martinez, Akifumi Yoshimoto et al.
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
Aaron Steven White, Pushpendre Rastogi, Kevin Duh et al.
Information Bottleneck Inspired Method For Chat Text Segmentation
S Vishal, Mohit Yadav, Lovekesh Vig et al.
Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
Prakhar Pandey, Vikram Pudi, Manish Shrivastava
Input-to-Output Gate to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base
Wei-Chuan Hsiao, Hen-Hsen Huang, Hsin-Hsi Chen
Integrating Vision and Language Datasets to Measure Word Concreteness
Gitit Kehat, James Pustejovsky
Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems
Koh Mitsuda, Ryuichiro Higashinaka, Junji Tomita
Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks
Tianyu Zhao, Tatsuya Kawahara
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System
Sandip Sarkar, Dipankar Das, Partha Pakray