# Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits

arXiv: https://arxiv.org/abs/2204.00350 · HTML: https://mlsanity.com/paper/2204.00350/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 43 references that are in the map.
- First posted on arXiv 1 Apr 2022.

## Builds on (most cited first, 10 of 10)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://mlsanity.com/paper/1912.01703/) (2019)
- [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://mlsanity.com/paper/1804.05685/) (2018)
- [AllenNLP: A Deep Semantic Natural Language Processing Platform](https://mlsanity.com/paper/1803.07640/) (2018)
- [Deep Enhanced Representation for Implicit Discourse Relation Recognition](https://mlsanity.com/paper/1807.05154/) (2018)
- [Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph](https://mlsanity.com/paper/1804.05918/) (2018)
- [Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention](https://mlsanity.com/paper/1609.06380/) (2016)
- [Extending Implicit Discourse Relation Recognition to the PDTB-3](https://mlsanity.com/paper/2010.06294/) (2020)
- [Zero-shot transfer for implicit discourse relation classification](https://mlsanity.com/paper/1907.12885/) (2019)

## Built on by (most cited first, 4 of 4)

- [What's Hard in English RST Parsing? Predictive Models for Error Analysis](https://mlsanity.com/paper/2309.04940/) (2023)
- [An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction](https://mlsanity.com/paper/2405.09735/) (2024)
- [A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification](https://mlsanity.com/paper/2307.03378/) (2023)
- [Discourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation](https://mlsanity.com/paper/2311.00451/) (2023)

## Abstract (arXiv)

In the PDTB-3, several thousand implicit discourse relations were newly annotated textitwithin individual sentences, adding to the over 15,000 implicit relations annotated textitacross adjacent sentences in the PDTB-2. Given that the position of the arguments to these textitintra-sentential implicits is no longer as well-defined as with textitinter-sentential implicits, a discourse parser must identify both their location and their sense. That is the focus of the current work. The paper provides a comprehensive analysis of our results, showcasing model performance under different scenarios, pointing out limitations and noting future directions.