AMUSED: A Multi-Stream Vector Representation Method for Use in Natural
Dialogue

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue

4 December 2019

Rishabh Joshi

Promod Yenigalla

Papers citing "AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue"

6 / 6 papers shown

Title
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems Sagi Shaier Lawrence E Hunter Katharina Kann 29 2 0 19 Dec 2022
RHO ( $ρ$ ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding Ziwei Ji Zihan Liu Nayeon Lee Tiezheng Yu Bryan Wilie Mini Zeng Pascale Fung HILM 23 53 0 03 Dec 2022
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations Ritam Dutt S. Sinha Rishabh Joshi S. Chakraborty Meredith Riggs Xinru Yan Haogang Bao Carolyn Rose 128 18 0 26 Jan 2021
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions Ritam Dutt Rishabh Joshi Carolyn Rose CVBM 18 16 0 22 Sep 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 419 2,588 0 03 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 299 6,984 0 20 Apr 2018