• Corpus ID: 38308917

Argumentation Mining in Scientific Discourse

  title={Argumentation Mining in Scientific Discourse},
  author={Nancy L. Green},
  • N. Green
  • Published in CMNA@ICAIL 2017
  • Computer Science
The dominant approach to argumentation mining has been to treat argumentation scheme detection as a machine learning problem based upon superficial text features, and to treat the relationships between arguments as support or attack. However, applications such as accurately representing and summarizing argumentation in scientific research articles require a deeper understanding of the text and a richer model of relationships between arguments. This paper presents a semantic rule-based approach… 

Tables from this paper

The representation of argumentation in scientific papers: A comparative analysis of two research areas

Scientific papers are essential manifestations of evolving scientific knowledge, and arguments are an important avenue to communicate research results. This study aims to understand how the

Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead

Argument mining targets structures in natural language related to interpretation and persuasion which are central to scientific communication. Most scholarly discourse involves interpreting

A Two-Level Approach to Generate Synthetic Argumentation Reports

Based on the GenerativeLexicon (GL) Qualia structure, which is a kind of lexical and knowledge repository, it is shown how to construct a synthesis that outlines the typical elements found in arguments.

BAM: Benchmarking Argument Mining on Scientific Documents

A method to homogenize both the evaluation process and the data to provide a common view in order to ultimately produce comparable results is proposed and can homogeneously assess the current state of AM in this domain.



Implementing Argumentation Schemes as Logic Programs

This paper provides a novel approach in which argumentation schemes are represented as logic program rules for use in argumentation mining, and seven implemented rules are presented based on analysis of an open-access biomedical research article.

Annotating evidence-based argumentation in biomedical text

  • N. Green
  • Philosophy
    2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • 2015
It is shown that argumentative zone models and models of discourse coherence do not represent the same aspects of discourse as a model of evidence-based argumentation.

Argument Mining Using Argumentation Scheme Structures

It is demonstrated that the structure of such schemes can provide rich information to the task of automatically identify complex argumentative structures in natural language text by training a range of classifiers to identify the individual proposition types which occur in these schemes.

Identifying Argumentation Schemes in Genetics Research Articles

This paper gives the specification of ten semantically distinct argumentation schemes based on analysis of argumentation in several journal articles, and presents an empirical study on readers’ ability to recognize some of the argumentation scheme.

Representation of Argumentation in Text with Rhetorical Structure Theory

A hybrid scheme that enables an analyst to encode argumentation analysis within the framework of Rhetorical Structure Theory (RST), which can be used to represent the discourse structure of a text is described and used for investigation of contexts that license omission of elements of an argument.

Generating Abstract Arguments: A Natural Language Approach

This paper proposes to use a technique from computational linguistics, namely textual entailment, to generate in an automatic way the abstract arguments from the dialogues, which are then structured in an argumentation graph to evaluate the dialogue as a whole.

Classifying arguments by scheme

This work classifies the text of an argument as an instance of one of five common schemes, using features specific to each scheme, and achieves accuracies of 63--91% in one-against-others classification and 80--94% in pairwise classification.

Argumentation Schemes

This book takes the reader from the elementary exposition in the first chapter to the current state of the art in the research efforts to formalize and classify the schemes, outlined in the last three chapters.

Rhetorical structure and argumentation structure in monologue text

On the basis of a new corpus of short “microtexts” with parallel manual annotations, we study the mapping from discourse structure (in terms of Rhetorical Structure Theory, RST) to argumentation

The Structure of Scientific Articles - Applications to Citation Indexing and Summarization

  • Simone Teufel
  • Computer Science
    CSLI Studies in Computational Linguistics
  • 2010
This indispensable volume applies empirical discourse studies to pressing issues of document management, including attribution, the author's stance towards other work, and problem-solving processes to make information retrieval easier and faster.