What’s Yours and What’s Mine: Determining Intellectual Attribution in Scientific Text

We believe that identifying the structure of scientific argumentation in articles can help in tasks such as automatic summarization or the automated construction of citation indexes. One particularly important aspect of this structure is the question of who a given scientific statement is attributed to: other researchers, the field in general, or the authors themselves.We present the algorithm and a systematic evaluation of a system which can recognize the most salient textual properties that contribute to the global argumentative structure of a text. In this paper we concentrate on two particular features, namely the occurrences of prototypical agents and their actions in scientific text.

• Publication year

  2000

• Venue

  Conference on Empirical Methods in Natural Language Processing

• Publication date

  2000-10-07

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/1117794.1117796
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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