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Found 5 papers, 1 papers with code
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations situated in tables from scientific articles.
gTBLS: Generating Tables from Text by Conditional Question Answering
Distilling large, unstructured text into a structured, condensed form such as tables is an open research problem.
SYNDICOM: Improving Conversational Commonsense with Error-Injection and Natural Language Feedback
In this work, we introduce SYNDICOM - a method for improving commonsense in dialogue response generation.
Learning to Retrieve Engaging Follow-Up Queries
The retrieval system is trained on a dataset which contains ~14K multi-turn information-seeking conversations with a valid follow-up question and a set of invalid candidates.
Commonsense Reasoning for Conversational AI: A Survey of the State of the Art
Large, transformer-based pretrained language models like BERT, GPT, and T5 have demonstrated a deep understanding of contextual semantics and language syntax.
