mlsanityData to 7 Oct 2026

ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation

arXiv 2103.07771 ↗First posted 13 Mar 2021cs.CLcited by 12

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Abstract (arXiv)

This paper presents ParaQA, a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG). The dataset was created using a semi-automated framework for generating diverse paraphrasing of the answers using techniques such as back-translation. The existing datasets for conversational question answering over KGs (single-turn/multi-turn) focus on question paraphrasing and provide only up to one answer verbalization. However, ParaQA contains 5000 question-answer pairs with a minimum of two and a maximum of eight unique paraphrased responses for each question. We complement the dataset with baseline models and illustrate the advantage of having multiple paraphrased answers through commonly used metrics such as BLEU and METEOR. The ParaQA dataset is publicly available on a persistent URI for broader usage and adaptation in the research community.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 15 of its 44 references that are in the map. First posted on arXiv 13 Mar 2021.

Builds on

15 of 44 references.

References · 15

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3 more
  1. 2019Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Basecited by 33
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Cited by year

Citing papers per year: 2021: 2; 2022: 4; 2023: 3; 2024: 1; 2025: 2.

12 papers.

  1. 2022UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Languagecited by 4
  2. 2024MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphscited by 4
  3. 2021VOGUE: Answer Verbalization through Multi-Task Learningcited by 3
  4. 2022Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphscited by 2
  5. 2022Understanding BLOOM: An empirical study on diverse NLP taskscited by 2
  6. 2022An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphscited by 1
  7. 2023IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resourcescited by 1
  8. 2023KGConv, a Conversational Corpus grounded in Wikidatacited by 1
  9. 2021Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Featurescited by 0
  10. 2023Automatic Translation of Hate Speech to Non-hate Speech in Social Media Textscited by 0
  11. 2025Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Modelscited by 0
  12. 2025LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documentscited by 0