Papers
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering
Jesse Mu, Joshua K. Hartshorne, Timothy O’Donnell
Reinforced Video Captioning with Entailment Rewards
Ramakanth Pasunuru, Mohit Bansal
Video Highlight Prediction Using Audience Chat Reactions
Cheng-Yang Fu, Joon Lee, Mohit Bansal et al.
Hierarchically-Attentive RNN for Album Summarization and Storytelling
Licheng Yu, Mohit Bansal, Tamara Berg
Deriving continous grounded meaning representations from referentially structured multimodal contexts
Sina Zarrieß, David Schlangen
Zero-Shot Activity Recognition with Verb Attribute Induction
Rowan Zellers, Yejin Choi
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Peter Anderson, Basura Fernando, Mark Johnson et al.
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra et al.
Sound-Word2Vec: Learning Word Representations Grounded in Sounds
Ashwin Vijayakumar, Ramakrishna Vedantam, Devi Parikh
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation
Jean-Benoit Delbrouck, Stéphane Dupont
Recovering Question Answering Errors via Query Revision
Semih Yavuz, Izzeddin Gur, Yu Su et al.
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
Learning to Paraphrase for Question Answering
Li Dong, Jonathan Mallinson, Siva Reddy et al.
Question Generation for Question Answering
Nan Duan, Duyu Tang, Peng Chen et al.
Latent Space Embedding for Retrieval in Question-Answer Archives
Deepak P, Dinesh Garg, Shirish Shevade
Deep Neural Solver for Math Word Problems
Yan Wang, Xiaojiang Liu, Shuming Shi
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He et al.
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
Teng Long, Emmanuel Bengio, Ryan Lowe et al.
Structural Embedding of Syntactic Trees for Machine Comprehension
Rui Liu, Junjie Hu, Wei Wei et al.
Learning Fine-Grained Expressions to Solve Math Word Problems
Danqing Huang, Shuming Shi, Chin-Yew Lin et al.
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin et al.
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu et al.
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan, Kumar Dubey, Eric Xing
Segmentation-Free Word Embedding for Unsegmented Languages
Takamasa Oshikiri