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Improving Semantic Parsing for Task Oriented Dialog

arXiv 1902.06000 ↗First posted 15 Feb 2019cs.CL cs.AIcited by 15

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Abstract (arXiv)

Semantic parsing using hierarchical representations has recently been proposed for task oriented dialog with promising results [Gupta et al 2018]. In this paper, we present three different improvements to the model: contextualized embeddings, ensembling, and pairwise re-ranking based on a language model. We taxonomize the errors possible for the hierarchical representation, such as wrong top intent, missing spans or split spans, and show that the three approaches correct different kinds of errors. The best model combines the three techniques and gives 6.4% better exact match accuracy than the state-of-the-art, with an error reduction of 33%, resulting in a new state-of-the-art result on the Task Oriented Parsing (TOP) dataset.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Feb 2019.

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Citing papers per year: 2021: 6; 2022: 5; 2023: 3; 2024: 0; 2025: 1.

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  1. 2021Implicit Representations of Meaning in Neural Language Modelscited by 179
  2. 2021Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialogcited by 17
  3. 2022Measuring and Reducing Model Update Regression in Structured Prediction for NLPcited by 11
  4. 2021Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modelingcited by 10
  5. 2021Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encodercited by 8
  6. 2023LeafAI: query generator for clinical cohort discovery rivaling a human programmercited by 8
  7. 2022Training Naturalized Semantic Parsers with Very Little Datacited by 6
  8. 2021Graph-Based Decoding for Task Oriented Semantic Parsingcited by 2
  9. 2022Lexicon-injected Semantic Parsing for Task-Oriented Dialogcited by 2
  10. 2025K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decouplingcited by 2
  11. 2022Trust in Language Grounding: a new AI challenge for human-robot teamscited by 1
  12. 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systemscited by 1
3 more
  1. 2021Assessing Data Efficiency in Task-Oriented Semantic Parsingcited by 0
  2. 2022Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformerscited by 0
  3. 2023TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Modelscited by 0