Papers
Improving Answer Selection and Answer Triggering using Hard Negatives
Sawan Kumar, Shweta Garg, Kartik Mehta et al.
Improving Back-Translation with Uncertainty-based Confidence Estimation
Shuo Wang, Yang Liu, Chao Wang et al.
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Biao Zhang, Ivan Titov, Rico Sennrich
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
Linmei Hu, Luhao Zhang, Chuan Shi et al.
Improving Evidence Detection by Leveraging Warrants
Keshav Singh, Paul Reisert, Naoya Inoue et al.
Improving Fine-grained Entity Typing with Entity Linking
Hongliang Dai, Donghong Du, Xin Li et al.
Improving Generative Visual Dialog by Answering Diverse Questions
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra et al.
Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders
Xudong Hong, Ernie Chang, Vera Demberg
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator
Xiaoyu Shen, Yang Zhao, Hui Su et al.
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge
Wenhao Ying, Rong Xiang, Qin Lu
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation
Zhenhao Li, Lucia Specia
Improving Neural Story Generation by Targeted Common Sense Grounding
Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley et al.
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration
Zhufeng Pan, Kun Bai, Yan Wang et al.
Improving Question Answering with External Knowledge
Xiaoman Pan, Kai Sun, Dian Yu et al.
Improving Question Generation With to the Point Context
Jingjing Li, Yifan Gao, Lidong Bing et al.
Improving Relation Extraction with Knowledge-attention
Pengfei Li, Kezhi Mao, Xuefeng Yang et al.
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior
Bowen Wu, Haoyang Huang, Zongsheng Wang et al.
IMSurReal: IMS at the Surface Realization Shared Task 2019
Xiang Yu, Agnieszka Falenska, Marina Haid et al.
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling
Linqing Liu, Wei Yang, Jinfeng Rao et al.
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma, Bishal Santra, Abhik Jana et al.
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Bin Bi, Chen Wu, Ming Yan et al.
Incorporating Fine-grained Events in Stock Movement Prediction
Deli Chen, Yanyan Zou, Keiko Harimoto et al.
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning
Heng Wang, Shuangyin Li, Rong Pan et al.
Incorporating Label Dependencies in Multilabel Stance Detection
William Ferreira, Andreas Vlachos
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Patrick Bordes, Eloi Zablocki, Laure Soulier et al.