Conversational Question Answering
61 papers with code • 1 benchmarks • 9 datasets
CoQA
QuAC
CANARD
ConvFinQA
Most implemented papers
PCoQA: Persian Conversational Question Answering Dataset
Our models include baseline models and pre-trained models, which are leveraged to boost the performance of the model.
Evaluating Natural Language Understanding Services for Conversational Question Answering Systems
Conversational interfaces recently gained a lot of attention.
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
guoday/Dialog-to-Action
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NeurIPS 2018
We present an approach to map utterances in conversation to logical forms, which will be executed on a large-scale knowledge base.
BERT with History Answer Embedding for Conversational Question Answering
prdwb/bert_hae
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One of the major challenges to multi-turn conversational search is to model the conversation history to answer the current question.
An Empirical Study of Content Understanding in Conversational Question Answering
MiuLab/CQA-Study
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However, to best of our knowledge, two important questions for conversational comprehension research have not been well studied: 1) How well can the benchmark dataset reflect models' content understanding?
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic.
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
taoshen58/MaSP
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IJCNLP 2019
We consider the problem of conversational question answering over a large-scale knowledge base.
Conversational Question Answering over Passages by Leveraging Word Proximity Networks
In this work, we demonstrate CROWN (Conversational passage ranking by Reasoning Over Word Networks): an unsupervised yet effective system for conversational QA with passage responses, that supports several modes of context propagation over multiple turns.
Fluent Response Generation for Conversational Question Answering
abaheti95/QADialogSystem
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ACL 2020
In this work, we propose a method for situating QA responses within a SEQ2SEQ NLG approach to generate fluent grammatical answer responses while maintaining correctness.
Open-Retrieval Conversational Question Answering
We build an end-to-end system for ORConvQA, featuring a retriever, a reranker, and a reader that are all based on Transformers.
