research
∙
04/02/2021
GRN: Generative Rerank Network for Context-wise Recommendation
Reranking is attracting incremental attention in the recommender systems...
share
research
∙
03/22/2021
Complementary Evidence Identification in Open-Domain Question Answering
This paper proposes a new problem of complementary evidence identificati...
research
∙
02/24/2021
Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
research
∙
12/22/2020
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems
Task-oriented conversational modeling with unstructured knowledge access...
research
∙
11/08/2020
Exploring End-to-End Differentiable Natural Logic Modeling
We explore end-to-end trained differentiable models that integrate natur...
research
∙
10/19/2020
Deriving Commonsense Inference Tasks from Interactive Fictions
Commonsense reasoning simulates the human ability to make presumptions a...
research
∙
10/06/2020
Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Performing fact verification based on structured data is important for m...
research
∙
08/13/2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task for many industri...
research
∙
05/25/2020
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Recommender system (RS) devotes to predicting user preference to a given...
research
∙
04/06/2020
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
We propose the new problem of learning to recover reasoning chains from ...
research
∙
05/16/2019
