Automatic Discourse Segmentation: Review and Perspectives

Sentence Compression in Spanish driven by Discourse Segmentation and Language Models

Previous works demonstrated that Automatic Text Summarization (ATS) by sentences extraction may be improved using sentence compression. In this work we present a sentence compressions approach guided by level-sentence discourse segmentation and probabilistic language models (LM). The results presented here show that the proposed solution is able to generate coherent summaries with grammatical compressed sentences. The approach is simple enough to be transposed into other languages.

Content Modeling Using Latent Permutations

We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying organization of document topics. We propose a global model in which both topic selection and ordering are biased to be similar across a collection of related documents. We show that this space of orderings can be effectively represented using a distribution over permutations called the Generalized Mallows Model. We apply our method to three complementary discourse-level tasks: cros…

SegNSP：重新审视线性文本分段的下一句预测

SegNSP: Revisiting Next Sentence Prediction for Linear Text Segmentation

SegNSP通过下一句预测任务改进线性文本分段，无需显式主题标签，实现高质量分段并提升下游NLP应用性能。

利用多源新闻摘要塑造政治话语

Shaping Political Discourse using multi-source News Summarization

本文提出一种无偏的多文档新闻摘要机器学习模型，通过等量采样主题各维度，生成公正摘要，用于塑造政治话语。

Modeling Topical Coherence in Discourse without Supervision

Coherence of text is an important attribute to be measured for both manually and automatically generated discourse; but well-defined quantitative metrics for it are still elusive. In this paper, we present a metric for scoring topical coherence of an input paragraph on a real-valued scale by analyzing its underlying topical structure. We first extract all possible topics that the sentences of a paragraph of text are related to. Coherence of this text is then measured by computing: (a) the degree of uncertainty of the topics with respect to the paragraph, and (b) the relatedness between these t…