Latest Research
End-to-End Object Detection with Transformers
We present a new method that views object detection as a direct set prediction problem.
MVIN: Learning Multiview Items for Recommendation
From the entity view, the mixing layer contrasts layer-wise GCN information to further obtain comprehensive features from internal entity-entity interactions in the KG.
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
• grammarly/gector
• 
In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder.
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
We investigate a growing body of work that seeks to improve recommender systems through the use of review text.
Knowledge Graph Simple Question Answering for Unseen Domains
Knowledge graph simple question answering (KGSQA), in its standard form, does not take into account that human-curated question answering training data only cover a small subset of the relations that exist in a Knowledge Graph (KG), or even worse, that new domains covering unseen and rather different to existing domains relations are added to the KG.
NILE : Natural Language Inference with Faithful Natural Language Explanations
In this work, we focus on the task of natural language inference (NLI) and address the following question: can we build NLI systems which produce labels with high accuracy, while also generating faithful explanations of its decisions?
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer
• rungjoo/Stable-Style-Transformer
•
Many previous systems are difficult to use in certain situations because they are unstable in some evaluation metrics.
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding
We present K{\o}psala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020.
Degree-Aware Alignment for Entities in Tail
• DexterZeng/DAT
• 
Entity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous sources of information and facilitates the integration of knowledge.
Query Resolution for Conversational Search with Limited Supervision
Context from the conversational history can be used to arrive at a better expression of the current turn query, defined as the task of query resolution.