mlsanityData to 14 Oct 2026

Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs

arXiv 2109.00269 ↗First posted 1 Sep 2021cs.CLcited by 10

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Abstract (arXiv)

We tackle the problem of weakly-supervised conversational Question Answering over large Knowledge Graphs using a neural semantic parsing approach. We introduce a new Logical Form (LF) grammar that can model a wide range of queries on the graph while remaining sufficiently simple to generate supervision data efficiently. Our Transformer-based model takes a JSON-like structure as input, allowing us to easily incorporate both Knowledge Graph and conversational contexts. This structured input is transformed to lists of embeddings and then fed to standard attention layers. We validate our approach, both in terms of grammar coverage and LF execution accuracy, on two publicly available datasets, CSQA and ConvQuestions, both grounded in Wikidata. On CSQA, our approach increases the coverage from 80% to 96.2%, and the LF execution accuracy from 70.6% to 75.6%, with respect to previous state-of-the-art results. On ConvQuestions, we achieve competitive results with respect to the state-of-the-art.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 33 of its 49 references that are in the map. First posted on arXiv 1 Sep 2021.

Builds on

33 of 49 references.

References · 33

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21 more
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  6. 2019Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansioncited by 42
  7. 2019Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Basecited by 33
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 3; 2023: 5; 2024: 1; 2025: 0; 2026: 1.

10 papers.

  1. 2022Conversational Question Answering on Heterogeneous Sourcescited by 26
  2. 2022GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representationcited by 13
  3. 2023Semantic Parsing for Conversational Question Answering over Knowledge Graphscited by 10
  4. 2023Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generationcited by 7
  5. 2023History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modelingcited by 4
  6. 2023Conversational Question Answering with Reformulations over Knowledge Graphcited by 4
  7. 2022Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphscited by 2
  8. 2023Conversational Semantic Parsing using Dynamic Context Graphscited by 2
  9. 2024Reinforcement Learning for Conversational Question Answering over Knowledge Graphcited by 1
  10. 2026An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammarscited by 1