Log In Sign Up

Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering

by   Gangwoo Kim, et al.

One of the main challenges in conversational question answering (CQA) is to resolve the conversational dependency, such as anaphora and ellipsis. However, existing approaches do not explicitly train QA models on how to resolve the dependency, and thus these models are limited in understanding human dialogues. In this paper, we propose a novel framework, ExCorD (Explicit guidance on how to resolve Conversational Dependency) to enhance the abilities of QA models in comprehending conversational context. ExCorD first generates self-contained questions that can be understood without the conversation history, then trains a QA model with the pairs of original and self-contained questions using a consistency-based regularizer. In our experiments, we demonstrate that ExCorD significantly improves the QA models' performance by up to 1.2 F1 on QuAC, and 5.2 F1 on CANARD, while addressing the limitations of the existing approaches.


page 1

page 2

page 3

page 4


Reinforced Question Rewriting for Conversational Question Answering

Conversational Question Answering (CQA) aims to answer questions contain...

From Rewriting to Remembering: Common Ground for Conversational QA Models

In conversational QA, models have to leverage information in previous tu...

A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering

In recent years, conversational agents have provided a natural and conve...

Can Question Rewriting Help Conversational Question Answering?

Question rewriting (QR) is a subtask of conversational question answerin...

Conversational Question Answering over Passages by Leveraging Word Proximity Networks

Question answering (QA) over text passages is a problem of long-standing...

Saving Dense Retriever from Shortcut Dependency in Conversational Search

In conversational search (CS), it needs holistic understanding over conv...

Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns

In this paper we work on the recently introduced ShARC task - a challeng...