activity
20182025
most citedBeyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres

8 citations · 33 across the 18 of their papers we have counts for

collaborators

18 papers

cs.CL2025

References Matter: Investigating the Impact of Reference Set Variation on Summarization Evaluation

Silvia Casola, Yang Janet Liu, Siyao Peng +3

Human language production exhibits remarkable richness and variation, reflecting diverse communication styles and intents. However, this variation is often overlooked in summarizat…

cs.CL2025

Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation

Beiduo Chen, Yang Janet Liu, Anna Korhonen +1

The recent rise of reasoning-tuned Large Language Models (LLMs)--which generate chains of thought (CoTs) before giving the final answer--has attracted significant attention and off…

cs.CL2025

Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set

Florian Eichin, Yang Janet Liu, Barbara Plank +1

Discourse understanding is essential for many NLP tasks, yet most existing work remains constrained by framework-dependent discourse representations. This work investigates whether…

cs.CL2025★ 1 cited

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges

Bolei Ma, Yuting Li, Wei Zhou +7

Understanding pragmatics-the use of language in context-is crucial for developing NLP systems capable of interpreting nuanced language use. Despite recent advances in language tech…

cs.CL2024

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti +6

Work on shallow discourse parsing in English has focused on the Wall Street Journal corpus, the only large-scale dataset for the language in the PDTB framework. However, the data i…

cs.CL2024★ 1 cited

eRST: A Signaled Graph Theory of Discourse Relations and Organization

Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu +3

In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical framework for computational discourse analysis, based on an expansion of Rhetorical Struct…

cs.CL2023

What's Hard in English RST Parsing? Predictive Models for Error Analysis

Yang Janet Liu, Tatsuya Aoyama, Amir Zeldes

Despite recent advances in Natural Language Processing (NLP), hierarchical discourse parsing in the framework of Rhetorical Structure Theory remains challenging, and our understand…

cs.CL2023

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization

Yang Janet Liu, Amir Zeldes

Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to 'hallucinations', low performance on non-news genres, and outputs w…

cs.CL2023

GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation

Tatsuya Aoyama, Shabnam Behzad, Luke Gessler +6

We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports c…

cs.CL2023

Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity

Yang Janet Liu, Amir Zeldes

Recent advances in discourse parsing performance create the impression that, as in other NLP tasks, performance for high-resource languages such as English is finally becoming reli…

cs.CL2022★ 3 cited

Chinese Discourse Annotation Reference Manual

Siyao Peng, Yang Janet Liu, Amir Zeldes

This document provides extensive guidelines and examples for Rhetorical Structure Theory (RST) annotation in Mandarin Chinese. The guideline is divided into three sections. We firs…

cs.CL2022★ 4 cited

GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing

Siyao Peng, Yang Janet Liu, Amir Zeldes

A lack of large-scale human-annotated data has hampered the hierarchical discourse parsing of Chinese. In this paper, we present GCDT, the largest hierarchical discourse treebank f…

cs.CL2021

DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection

Luke Gessler, Shabnam Behzad, Yang Janet Liu +3

This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo,…

cs.CL2020★ 5 cited

AMALGUM -- A Free, Balanced, Multilayer English Web Corpus

Luke Gessler, Siyao Peng, Yang Liu +3

We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency t…

cs.DL2020★ 1 cited

A Corpus of Adpositional Supersenses for Mandarin Chinese

Siyao Peng, Yang Liu, Yilun Zhu +3

Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language. Moreover, there is a dearth of annotated cor…

cs.CL2020★ 7 cited

A Neural Approach to Discourse Relation Signal Detection

Amir Zeldes, Yang Liu

Previous data-driven work investigating the types and distributions of discourse relation signals, including discourse markers such as 'however' or phrases such as 'as a result' ha…

cs.CL2019★ 8 cited

Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres

Yang Liu

Recent research on discourse relations has found that they are cued not only by discourse markers (DMs) but also by other textual signals and that signaling information is indicati…

cs.CL2018★ 3 cited

Adpositional Supersenses for Mandarin Chinese

Yilun Zhu, Yang Liu, Siyao Peng +3

This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate fo…