mlsanityData to 7 Oct 2026

QA Is the New KR: Question-Answer Pairs as Knowledge Bases

arXiv 2207.00630 ↗First posted 1 Jul 2022cs.AIcited by 6

Not on the map. Why?

Abstract (arXiv)

In this position paper, we propose a new approach to generating a type of knowledge base (KB) from text, based on question generation and entity linking. We argue that the proposed type of KB has many of the key advantages of a traditional symbolic KB: in particular, it consists of small modular components, which can be combined compositionally to answer complex queries, including relational queries and queries involving "multi-hop" inferences. However, unlike a traditional KB, this information store is well-aligned with common user information needs.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 30 of its 55 references that are in the map. First posted on arXiv 1 Jul 2022.

Builds on

30 of 55 references.

References · 30

  1. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  2. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  3. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,895
  4. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,203
  5. 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
  6. 2017Zero-Shot Relation Extraction via Reading Comprehensioncited by 425
  7. 2020FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarizationcited by 292
  8. 2021PAQ: 65 Million Probably-Asked Questions and What You Can Do With Themcited by 198
  9. 2020Generation-Augmented Retrieval for Open-domain Question Answeringcited by 186
  10. 2020Break It Down: A Question Understanding Benchmarkcited by 131
  11. 2021Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answeringcited by 131
  12. 2022Training Language Models with Memory Augmentationcited by 112
18 more
  1. 2020Entities as Experts: Sparse Memory Access with Entity Supervisioncited by 100
  2. 2020Learning Dense Representations of Phrases at Scalecited by 91
  3. 2020QED: A Framework and Dataset for Explanations in Question Answeringcited by 55
  4. 2018Large-Scale QA-SRL Parsingcited by 45
  5. 2021Mention Memory: incorporating textual knowledge into Transformers through entity mention attentioncited by 42
  6. 2020Differentiable Reasoning over a Virtual Knowledge Basecited by 39
  7. 2020Semantic Graphs for Generating Deep Questionscited by 38
  8. 2020Unsupervised Multi-hop Question Answering by Question Generationcited by 38
  9. 2020QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselinescited by 34
  10. 2017Semi-Supervised QA with Generative Domain-Adaptive Netscited by 27
  11. 2018Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehensioncited by 23
  12. 2017Crowdsourcing Question-Answer Meaning Representationscited by 21
  13. 2020Harvesting and Refining Question-Answer Pairs for Unsupervised QAcited by 20
  14. 2021Question Answering Infused Pre-training of General-Purpose Contextualized Representationscited by 19
  15. 2022Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answeringcited by 19
  16. 2021Reasoning Over Virtual Knowledge Bases With Open Predicate Relationscited by 18
  17. 2019A Bilingual Generative Transformer for Semantic Sentence Embeddingcited by 16
  18. 2021QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositionscited by 16

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1; 2026: 2.

6 papers.