Implicit Discourse Relation Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (37 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
  10 Jun 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Implicit discourse relation classification is a challenging task due to the absence of discourse connectives.
• Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
  3 May 2023 1 repository listed
  While transformer-based systems have enabled greater accuracies with fewer training examples, data acquisition obstacles still persist for rare-class tasks -- when the class label is very infrequent (e.
• Label distributions help implicit discourse relation classification
  1 Oct 2022 1 repository listed
  Implicit discourse relations can convey more than one relation sense, but much of the research on discourse relations has focused on single relation senses.
• On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
  27 Apr 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Implicit discourse relation classification is one of the most difficult parts in shallow discourse parsing as the relation prediction without explicit connectives requires the language understanding at both the text…
• Zero-shot transfer for implicit discourse relation classification
  30 Jul 2019 1 repository listed
  Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation.
• Implicit Discourse Relation Identification for Open-domain Dialogues
  9 Jul 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Discourse relation identification has been an active area of research for many years, and the challenge of identifying implicit relations remains largely an unsolved task, especially in the context of an open-domain…
• A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
  7 Mar 2016 1 repository listed
  This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.