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Found 5 papers, 3 papers with code
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization
In this paper, we focus on improving the quality of the summary generated by neural abstractive dialogue summarization systems.
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona
The agent selects the proper knowledge and persona to use for generating the answers with our candidate scoring implemented with a poly-encoder.
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction
To effectively exploit inherent knowledge of PLMs without extra layers and consider scattered semantic cues on the relation between the arguments, we propose a Guiding model with RelAtional Semantics using Prompt (GRASP).
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Dialog Relation Extraction
on DialogRE
Dialog Relation Extraction
Emotion Recognition in Conversation
+1
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to.
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning
CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge.
