mlsanityData to 7 Oct 2026

Toward Fast and Accurate Neural Discourse Segmentation

arXiv 1808.09147 ↗First posted 28 Aug 2018cs.CLcited by 19

Not on the map. Why?

Abstract (arXiv)

Discourse segmentation, which segments texts into Elementary Discourse Units, is a fundamental step in discourse analysis. Previous discourse segmenters rely on complicated hand-crafted features and are not practical in actual use. In this paper, we propose an end-to-end neural segmenter based on BiLSTM-CRF framework. To improve its accuracy, we address the problem of data insufficiency by transferring a word representation model that is trained on a large corpus. We also propose a restricted self-attention mechanism in order to capture useful information within a neighborhood. Experiments on the RST-DT corpus show that our model is significantly faster than previous methods, while achieving new state-of-the-art performance.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Aug 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 4; 2023: 3; 2024: 1; 2025: 3; 2026: 2.

19 papers.

Sort:

By area:

  1. 2023How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resourcescited by 405
  2. 2021Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherencecited by 22
  3. 2021Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systemscited by 8
  4. 2022MHMS: Multimodal Hierarchical Multimedia Summarizationcited by 6
  5. 2021ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentencescited by 5
  6. 2021Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentationcited by 5
  7. 2022RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generatorscited by 3
  8. 2022EDU-level Extractive Summarization with Varying Summary Lengthscited by 3
  9. 2021Multitask Learning for Class-Imbalanced Discourse Classificationcited by 2
  10. 2022AntPivot: Livestream Highlight Detection via Hierarchical Attention Mechanismcited by 2
  11. 2024Discovering Elementary Discourse Units in Textual Data Using Canonical Correlation Analysiscited by 2
  12. 2023Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challengecited by 1
7 more
  1. 2026SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Frameworkcited by 1
  2. 2021Identifying Introductions in Podcast Episodes from Automatically Generated Transcriptscited by 0
  3. 2023SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understandingcited by 0
  4. 2025BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagationcited by 0
  5. 2025CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversationscited by 0
  6. 2025Improving Zero-shot Sentence Decontextualisation with Content Selection and Planningcited by 0
  7. 2026Text Summarization With Graph Attention Networkscited by 0