mlsanityData to 7 Oct 2026

Better Document-level Sentiment Analysis from RST Discourse Parsing

arXiv 1509.01599 ↗First posted 4 Sep 2015cs.CL cs.AIcited by 20

Not on the map. Why?

Abstract (arXiv)

Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree. First, we show that reweighting discourse units according to their position in a dependency representation of the rhetorical structure can yield substantial improvements on lexicon-based sentiment analysis. Next, we present a recursive neural network over the RST structure, which offers significant improvements over classification-based methods.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Sep 2015.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 7; 2023: 4; 2024: 1; 2025: 0; 2026: 1.

20 papers.

Sort:

By area:

  1. 2021DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsingcited by 27
  2. 2021RST Parsing from Scratchcited by 13
  3. 2022Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussioncited by 13
  4. 2022GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsingcited by 13
  5. 2022The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Errorcited by 12
  6. 2021Top-down Discourse Parsing via Sequence Labellingcited by 9
  7. 2021Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Mediacited by 8
  8. 2022Towards Unification of Discourse Annotation Frameworkscited by 8
  9. 2021Exploring Discourse Structures for Argument Impact Classificationcited by 7
  10. 2022Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Modelscited by 6
  11. 2023Understanding Social Media Cross-Modality Discourse in Linguistic Spacecited by 6
  12. 2021Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentationcited by 5
8 more
  1. 2023Sequentially Controlled Text Generationcited by 5
  2. 2022A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsingcited by 4
  3. 2023Structured Dialogue Discourse Parsingcited by 4
  4. 2024Can we obtain significant success in RST discourse parsing by using Large Language Models?cited by 4
  5. 2021W-RST: Towards a Weighted RST-style Discourse Frameworkcited by 1
  6. 2023Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Frameworkcited by 1
  7. 2026Disco-RAG: Discourse-Aware Retrieval-Augmented Generationcited by 1
  8. 2022Large Discourse Treebanks from Scalable Distant Supervisioncited by 0