RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing
On the map: Retrieval-augmented generation → Generation and context integration
Abstract (arXiv)
While large pre-trained language models accumulate a lot of knowledge in their parameters, it has been demonstrated that augmenting it with non-parametric retrieval-based memory has a number of benefits from accuracy improvements to data efficiency for knowledge-focused tasks, such as question answering. In this paper, we are applying retrieval-based modeling ideas to the problem of multi-domain task-oriented semantic parsing for conversational assistants. Our approach, RetroNLU, extends a sequence-to-sequence model architecture with a retrieval component, used to fetch existing similar examples and provide them as an additional input to the model. In particular, we analyze two settings, where we augment an input with (a) retrieved nearest neighbor utterances (utterance-nn), and (b) ground-truth semantic parses of nearest neighbor utterances (semparse-nn). Our technique outperforms the baseline method by 1.5% absolute macro-F1, especially at the low resource setting, matching the baseline model accuracy with only 40% of the data. Furthermore, we analyze the nearest neighbor retrieval component's quality, model sensitivity and break down the performance for semantic parses of different utterance complexity.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Placed in Generation and context integration, one of 15 directions in Retrieval-augmented generation. Builds on 35 of its 50 references that are in the map. First posted on arXiv 21 Sep 2021.
Builds on
35 of 50 references.
Closest ancestors · 2
Same direction, newest first
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks22 May
- 2020REALM: Retrieval-Augmented Language Model Pre-Training10 Feb
Other references · 33
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2017Billion-scale similarity search with GPUscited by 2,477
- 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,281
- 2019Machine Unlearningcited by 1,020
- 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
- 2020How Much Knowledge Can You Pack Into the Parameters of a Language Model?cited by 713
- 2014Memory Networkscited by 354
- 2020Nearest Neighbor Machine Translationcited by 209
- 2018Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learningcited by 203
21 more
- 2020MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmarkcited by 156
- 2018Semantic Parsing for Task Oriented Dialog using Hierarchical Representationscited by 101
- 2020Pre-training via Paraphrasingcited by 92
- 2020DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialoguecited by 89
- 2018Retrieve and Refine: Improved Sequence Generation Models For Dialoguecited by 82
- 2020Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsingcited by 72
- 2020Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsingcited by 59
- 2020Cross-lingual Retrieval for Iterative Self-Supervised Trainingcited by 54
- 2020Augmenting Transformers with KNN-Based Composite Memory for Dialoguecited by 53
- 2020Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Surveycited by 51
- 2018Improving Natural Language Inference Using External Knowledge in the Science Questions Domaincited by 48
- 2017Neural Natural Language Inference Models Enhanced with External Knowledgecited by 40
- 2020Conversational Semantic Parsing for Dialog State Trackingcited by 40
- 2020Conversational Semantic Parsingcited by 39
- 2019Non-Parametric Adaptation for Neural Machine Translationcited by 34
- 2021Incorporating External Knowledge to Enhance Tabular Reasoningcited by 23
- 2021Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsingcited by 18
- 2019Multilingual Graphemic Hybrid ASR with Massive Data Augmentationcited by 13
- 2020Multilingual Neural RST Discourse Parsingcited by 13
- 2018Knowledge-Aware Conversational Semantic Parsing Over Web Tablescited by 6
- 2021Diagnosing Transformers in Task-Oriented Semantic Parsingcited by 5
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Citing papers per year: 2021: 1; 2022: 7; 2023: 4; 2024: 1; 2025: 2.
15 papers.
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- 2022Diverse Demonstrations Improve In-context Compositional Generalizationcited by 136
- 2021Controllable Semantic Parsing via Retrieval Augmentationcited by 35
- 2022You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LMcited by 18
- 2023Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledgecited by 18
- 2022Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsingcited by 15
- 2022Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsingcited by 7
- 2022Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parserscited by 7
- 2023Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsingcited by 6
- 2022Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsingcited by 5
- 2024Automatic Combination of Sample Selection Strategies for Few-Shot Learningcited by 4
- 2023Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parserscited by 3
- 2022DocuT5: Seq2seq SQL Generation with Table Documentationcited by 1
- 2025Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert Knowledge10 Sep 2025
- 2025Large Language Models are Demonstration Pre-Selectors for Themselves6 Jun 2025
- 2024Automatic Combination of Sample Selection Strategies for Few-Shot Learning5 Feb 2024
- 2023Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing24 May 2023
- 2023Evaluating Inter-Bilingual Semantic Parsing for Indian Languages25 Apr 2023
- 2023Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers10 Jan 2023
- 2023Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge3 Jan 2023
- 2022Diverse Demonstrations Improve In-context Compositional Generalization13 Dec 2022
- 2022DocuT5: Seq2seq SQL Generation with Table Documentation11 Nov 2022
- 2022Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers29 Oct 2022
- 2022You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM28 Oct 2022
- 2022Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing4 Oct 2022
- 2022Diverse Demonstrations Improve In-context Compositional Generalizationcited by 136
- 2021Controllable Semantic Parsing via Retrieval Augmentationcited by 35
- 2022You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LMcited by 18
- 2023Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledgecited by 18
- 2022Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsingcited by 15
- 2022Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsingcited by 7
- 2023Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsingcited by 6
- 2022Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsingcited by 5
- 2024Automatic Combination of Sample Selection Strategies for Few-Shot Learningcited by 4
- 2023Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parserscited by 3
- 2022DocuT5: Seq2seq SQL Generation with Table Documentationcited by 1
- 2023Evaluating Inter-Bilingual Semantic Parsing for Indian Languagescited by 1
12 most cited of 13 All 13 (JSON)
- 2025Large Language Models are Demonstration Pre-Selectors for Themselves6 Jun 2025
- 2024Automatic Combination of Sample Selection Strategies for Few-Shot Learning5 Feb 2024
- 2023Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing24 May 2023
- 2023Evaluating Inter-Bilingual Semantic Parsing for Indian Languages25 Apr 2023
- 2023Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers10 Jan 2023
- 2023Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge3 Jan 2023
- 2022Diverse Demonstrations Improve In-context Compositional Generalization13 Dec 2022
- 2022DocuT5: Seq2seq SQL Generation with Table Documentation11 Nov 2022
- 2022You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM28 Oct 2022
- 2022Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing4 Oct 2022
- 2022Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing29 Sep 2022
- 2022Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing2 Feb 2022
12 newest of 13 All 13 (JSON)
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