As polarization continues to rise among both the public and the news media, increasing
attention has been devoted to detecting media bias. Most recent work in the NLP community …

Propaganda is a form of deceptive narratives that instigate or mislead the public, usually
with a political purpose. In this paper, we aim to identify propaganda in political news at two …

Rhetorical Structure Theory based Discourse Parsing (RST-DP) explores how clauses,
sentences, and large text spans compose a whole discourse and presents the rhetorical …

News Discourse Profiling seeks to scrutinize the event-related role of each sentence in a
news article and has been proven useful across various downstream applications …

Abstract “篇章分析是自然语言处理领域的研究热点和重点, 篇章功能语用研究旨在分析篇章
单元在篇章中的功能和作用, 有助于深入理解篇章的主题和内容. 目前篇章分析研究以形式语法 …

We propose to leverage news discourse profiling to model document-level temporal
structures for building temporal dependency graphs. Our key observation is that the …

News Discourse Profiling is a discourse task that aims to recognize the semantic role of
each sentence in an article. Within this task, the model not only requires comprehending the …

In this study, we examine the benefits of incorporating discourse information into document-
level temporal dependency parsing. Specifically, we evaluate the effectiveness of integrating …

Complex feature extractors are widely employed for text representation building. However,
these complex feature extractors make the NLP systems prone to overfitting especially when …

Topic segmentation and outline generation strive to divide a document into coherent topic
sections and generate corresponding subheadings, unveiling the discourse topic structure …