Sentence extraction and rhetorical classification for flexible abstracts

Sentence Extraction and Rhetorical Classification for Flexible Abstracts

Argumentative Classiication of Extracted Sentences as a Rst Step towards Exible Abstracting

Knowledge about the rhetorical structure of a text is useful for automatic abstraction. We are interested in the automatic extraction of rhetorical units from the source text, units such as Problem Statement, Conclusions and Results. We want to use such extracts to generate high-compression abstracts of scientiic articles. In this paper, we present an extension of Kupiec, Pedersen and Chen's (1...

Identifying Sections in Scientific Abstracts using Conditional Random Fields

OBJECTIVE: The prior knowledge about the rhetorical structure of scientific abstracts is useful for various text-mining tasks such as information extraction, information retrieval, and automatic summarization. This paper presents a novel approach to categorize sentences in scientific abstracts into four sections, objective, methods, results, and conclusions. METHOD: Formalizing the categorizati...

Sentence Extraction and Rhetorical Classiication for Exible Abstracts

Knowledge about the discourse-level structure of a sci-entiic article is useful for exible and sub-domain independent automatic abstraction. We are interested in the automatic identiication of content units (\argu-mentative entities") in the source text, such as Goal or Problem Statement, Conclusions and Results. In this paper, we present an extension of Ku-piec et al.'s methodology for trainab...

Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora

The relevance of automatically identifying rhetorical moves in scientific texts has been widely acknowledged in the literature. This study focuses on abstracts of standard research papers written in English and aims to tackle a fundamental limitation of current machine-learning classifiers: they are mono-labeled, that is, a sentence can only be assigned one single label. However, such approach ...