InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?

28 March 2021

Papers citing "InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?"

6 / 6 papers shown

Title
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention Ikuya Yamada Akari Asai Hiroyuki Shindo Hideaki Takeda Yuji Matsumoto 74 666 0 02 Oct 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 136 7,437 0 02 Oct 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 120 1,953 0 24 Jul 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs Deepak Nathani Jatin Chauhan Charu Sharma Manohar Kaul 75 484 0 04 Jun 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 67 1,803 0 20 May 2019
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth Rishabh Joshi Sai Suman Prayaga Chiranjib Bhattacharyya Partha P. Talukdar 59 229 0 11 Dec 2018