KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding

9 April 2021

Papers citing "KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding"

8 / 8 papers shown

Title
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories Shizhe Diao Tianyang Xu Ruijia Xu Jiawei Wang Tong Zhang MoE AI4CE 13 36 0 08 Jun 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance Kaushik Roy Manas Gaur Misagh Soltani Vipula Rawte Ashwin Kalyan Amit P. Sheth AI4MH 38 27 0 13 May 2023
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering Debayan Banerjee Pranav Ajit Nair Ricardo Usbeck Chris Biemann 21 9 0 23 Mar 2023
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems Keyur Faldu Amit P. Sheth Prashant Kikani Darshan Patel AIMat 25 0 0 02 Jun 2022
Knowledge-intensive Language Understanding for Explainable AI A. Sheth Manas Gaur Kaushik Roy Keyur Faldu 19 48 0 02 Aug 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 37 113 0 16 Oct 2020
K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Qi Ju Haotang Deng Ping Wang 231 778 0 17 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,984 0 20 Apr 2018