# Improving Multi-Party Dialogue Discourse Parsing via Domain Integration

Source: [Improving Multi-Party Dialogue Discourse Parsing via Domain Integration](<https://www.sota2.com/research/paper/68fa6afd1e209131cea2b93b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-04T03:31:41.222Z

Authors: Zhengyuan Liu, Nancy F. Chen

Published: 2021-10-09T09:36:22.000Z

## Abstract

While multi-party conversations are often less structured than monologues and documents, they are implicitly organized by semantic level correlations across the interactive turns, and dialogue discourse analysis can be applied to predict the dependency structure and relations between the elementary discourse units, and provide feature-rich structural information for downstream tasks. However, the existing corpora with dialogue discourse annotation are collected from specific domains with limited sample sizes, rendering the performance of data-driven approaches poor on incoming dialogues without any domain adaptation. In this paper, we first introduce a Transformer-based parser, and assess its cross-domain performance. We next adopt three methods to gain domain integration from both data and language modeling perspectives to improve the generalization capability. Empirical results show that the neural parser can benefit from our proposed methods, and performs better on cross-domain dialogue samples.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Dialogue Discourse Parsing on Molweni in-domain (test)](<https://www.sota2.com/research/sota/dialogue-discourse-parsing-on-molweni-in-domain-test.md>): Dialogue Discourse Parsing; Molweni in-domain (test); UAS: 80.1.

- [Dialogue Discourse Parsing on STAC to Molweni cross-domain (test)](<https://www.sota2.com/research/sota/dialogue-discourse-parsing-on-stac-to-molweni-cross-domain-test.md>): Dialogue Discourse Parsing; STAC to Molweni cross-domain (test); UAS: 60.1.

- [Dialogue Discourse Parsing on STAC in-domain (test)](<https://www.sota2.com/research/sota/dialogue-discourse-parsing-on-stac-in-domain-test.md>): Dialogue Discourse Parsing; STAC in-domain (test); UAS: 73.1.

- [Dialogue Discourse Parsing on Molweni to STAC cross-domain (test)](<https://www.sota2.com/research/sota/dialogue-discourse-parsing-on-molweni-to-stac-cross-domain-test.md>): Dialogue Discourse Parsing; Molweni to STAC cross-domain (test); UAS: 48.9.

- [Conversational Discourse Parsing on STAC (test)](<https://www.sota2.com/research/sota/conversational-discourse-parsing-on-stac-test.md>): Conversational Discourse Parsing; STAC (test); Arc Score: not recorded.

- [Discourse Parsing on Molweni (test)](<https://www.sota2.com/research/sota/discourse-parsing-on-molweni-test.md>): Discourse Parsing; Molweni (test); Link (%): not recorded.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2110.04526>)

[PDF](<https://arxiv.org/pdf/2110.04526.pdf>)