Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status

By Simone Teufel, Marc Moens. International Conference on Computational Logic, 2002

406 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/54eafbf7621337724c6591cc13e604986243293a

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In Artificial Intelligence

Citations in the corpus

Text Summarization Techniques: A Brief Survey (2017, background): “Machine learning methods have been shown to be very effective and successful in single and multi-document summarization, specifically in class specific summarization where classifiers are trained to locate particular type of information such as scientific paper summarization [61], [76], [77] and bio”
Discourse Constraints for Document Compression (2010, background): “This is true of automatic summarization systems too, which consider the position of a sentence in a document and how it relates to its surrounding sentences (Kupiec, Pedersen, and Chen 1995; Barzilay and Elhadad 1997; Marcu 2000; Teufel and Moens 2002).”
/*icomment: bugs or bad comments?*/ (2007, neutral): “The first feature category is typical text classification features that are widely used in text classification studies [ 40 ].”
Argumentation Mining in User-Generated Web Discourse (2016, background): “3 The role of argumentation moves in summarizing scientific articles was examined by Teufel and Moens (2002).”
A Supervised Approach to Extractive Summarisation of Scientific Papers (2017, methodology): “…on sum-marising scientiﬁc literature; Visser and Wieling (2009) extract sentence location features based on the headings they occurred beneath while Teufel and Moens (2002) divide the paper into 20 equal parts and assign each sentence a location based on which segment it occurred in - an attempt…”
BillSum: A Corpus for Automatic Summarization of US Legislation (2019, background): “…summarization has been conducted in a variety of domains, such as news articles (Hermann et al., 2015), emails (Nenkova and Bagga, 2004), scientiﬁc papers (Teufel and Moens, 2002; Collins et al., 2017), and court pro-ceedings (Grover et al., 2004; Saravanan et al., 2008; Kim et al., 2013).”
Stylometric Analysis of Scientific Articles (2012, background): “4.1 NativeL: Native vs. Non-Native English We introduce the task of predicting whether a scientific paper is written by a native English speaker (NES) or non-native speaker (NNS).”
Introduction to the Special Issue on Summarization (2002, background): “…a sketch of the current state of the art of summarization by describing the general areas of research, including single-document summarization through extraction, the beginnings of abstractive approaches to single-document summarization, and a variety of approaches to multidocument summarization.”
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis (2010, neutral): “Teufel and Moens (2002) have proposed an intriguing strategy for summarizing scientific articles based on the rhetorical status of statements in an article.”
An Approach to Summarizing Short Stories (2006, methodology): “A multitude of different techniques has been applied to this end, some of the more remarkable of them being (Marcu, 1997; Mani et al. 1998; Teufel and Moens, 2002; Elhadad et al., 2005), to name just a few.”
Automatic classification of citation function (2006, background): “We know from Teufel and Moens (2002) that verb tense and voice should be useful for recognizing statements of previous work, future work and work performed in the paper.”
COGNITIVE MODELS OF WRITING: WRITING PROFICIENCY AS A COMPLEX INTEGRATED SKILL (2008, background): “For instance, Teufel and Moens (2002) presented a template for structuring scientific articles that depends critically upon the fact that scientific articles involve a well-defined series of rhetorical moves, each typically occupying its own block or section and strongly signaled by formulaic…”
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts (2006, neutral): “…each individual speech within a debate as a single “document”, we are considering a version ofdocument-level sentiment-polarity classification, namely, automatically distinguishing between positive and negative documents (Das and Chen, 2001; Pang et al., 2002; Turney, 2002; Dave et al., 2003).”
Scientific Paper Summarization Using Citation Summary Networks (2008, background): “The ACL Anthology is a collection of papers from the Computational Linguistics journal, and pro-ceedings from ACL conferences and workshops and includes almost 11 , 000 papers.”
Survey Article: Inter-Coder Agreement for Computational Linguistics (2008, neutral): “For an example of good practice in this respect, see Teufel and Moens (2002) .”
Data-driven Summarization of Scientific Articles (2018, background): “While the events described by news headlines frequently recur in related articles, a scientific title focuses on the unique contribution that sets a paper apart from previous research (Teufel and Moens, 2002).”
Extractive Summarization of Long Documents by Combining Global and Local Context (2019, methodology): “For instance, (Teufel and Moens, 2002) presented a supervised Naive Bayes”
From Argument Diagrams to Argumentation Mining in Texts: A Survey (2013, background): “Teufel and Moens (2002) aimed at the automatic classification of zones in conference papers and took a relatively fine-grained approach by treating individual sentences as the minimal segments (as opposed to paragraphs or sections).”
Research-paper recommender systems: a literature survey (2015, neutral): “summarization of academic articles [243-245], academic”