Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learn to Resolve Conversational Dependency: A Consistency Training
  Framework for Conversational Question Answering   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.

18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc