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Transformation Driven Visual Reasoning
This paper defines a new visual reasoning paradigm by introducing an imp...
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Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
One approach to matching texts from asymmetrical domains is projecting t...
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Beyond Language: Learning Commonsense from Images for Reasoning
This paper proposes a novel approach to learn commonsense from images, i...
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Modeling Topical Relevance for Multi-Turn Dialogue Generation
Topic drift is a common phenomenon in multi-turn dialogue. Therefore, an...
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Ranking Enhanced Dialogue Generation
How to effectively utilize the dialogue history is a crucial problem in ...
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Robust Reinforcement Learning with Wasserstein Constraint
Robust Reinforcement Learning aims to find the optimal policy with some ...
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L2R2: Leveraging Ranking for Abductive Reasoning
The abductive natural language inference task (αNLI) is proposed to eval...
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SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
In learning-to-rank for information retrieval, a ranking model is automa...
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ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
In multi-turn dialogue generation, response is usually related with only...
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A Deep Look into Neural Ranking Models for Information Retrieval
Ranking models lie at the heart of research on information retrieval (IR...
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HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
This paper is concerned with open-domain question answering (i.e., OpenQ...
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Continual Match Based Training in Pommerman: Technical Report
Continual learning is the ability of agents to improve their capacities ...
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Locally Smoothed Neural Networks
Convolutional Neural Networks (CNN) and the locally connected layer are ...
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Learning Visual Features from Snapshots for Web Search
When applying learning to rank algorithms to Web search, a large number ...
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DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
This paper concerns a deep learning approach to relevance ranking in inf...
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MatchZoo: A Toolkit for Deep Text Matching
In recent years, deep neural models have been widely adopted for text ma...
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Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Semantic matching, which aims to determine the matching degree between t...
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Text Matching as Image Recognition
Matching two texts is a fundamental problem in many natural language pro...
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A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
Matching natural language sentences is central for many applications suc...
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