mlsanityData to 7 Oct 2026

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

arXiv 1905.05682 ↗First posted 14 May 2019cs.CL cs.AIcited by 15

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Abstract (arXiv)

We propose an efficient neural framework for sentence-level discourse analysis in accordance with Rhetorical Structure Theory (RST). Our framework comprises a discourse segmenter to identify the elementary discourse units (EDU) in a text, and a discourse parser that constructs a discourse tree in a top-down fashion. Both the segmenter and the parser are based on Pointer Networks and operate in linear time. Our segmenter yields an F1 score of 95.4, and our parser achieves an F1 score of 81.7 on the aggregated labeled (relation) metric, surpassing previous approaches by a good margin and approaching human agreement on both tasks (98.3 and 83.0 F1).

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 May 2019.

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Citing papers per year: 2021: 9; 2022: 1; 2023: 1; 2024: 4.

15 papers.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2021DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsingcited by 27
  3. 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
  4. 2021Learning Structural Representations for Recipe Generation and Food Retrievalcited by 17
  5. 2021RST Parsing from Scratchcited by 13
  6. 2024Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Surveycited by 10
  7. 2021Top-down Discourse Parsing via Sequence Labellingcited by 9
  8. 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
  9. 2021Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentationcited by 5
  10. 2024Bilingual Rhetorical Structure Parsing with Large Parallel Annotationscited by 5
  11. 2022A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsingcited by 4
  12. 2024Can we obtain significant success in RST discourse parsing by using Large Language Models?cited by 4
3 more
  1. 2024PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?cited by 4
  2. 2023What's Hard in English RST Parsing? Predictive Models for Error Analysiscited by 2
  3. 2021Context-Preserving Text Simplificationcited by 0