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Paraphrasing for condensation in journal abstracting
1Department of Linguistics and Translation, University of Montreal, CP 6128, Succ.A, Montréal, Que., Canada H3C 3J7. kittredg@iro.umontreal.ca
Journal of Biomedical Informatics
|May 21, 2003
Summary
Scientists are developing a computational model to understand how scientific abstracts are written. This linguistic analysis helps in creating better paraphrasing rules for scientific text generation.
Area of Science:
- Computational linguistics
- Scientific communication
Background:
- Authors use diverse linguistic operations to condense scientific articles into abstracts.
- Existing models of abstract derivation lack detailed linguistic analysis.
Purpose of the Study:
- To develop a linguistically detailed, computable model of abstract derivation.
- To formulate paraphrasing rules for condensing scientific text.
Main Methods:
- Comparing biological and biomedical journal articles with their abstracts.
- Utilizing syntactic representations and rich dictionary information.
- Developing paraphrasing rules with varying generality, including sublanguage-specific and cross-lingual applications.
Main Results:
- Identified distinct linguistic operations in abstract writing.
- Formulated paraphrasing rules using lexical functions and rhetorical relations.
- Demonstrated the computability of the descriptive framework.
Conclusions:
- A detailed linguistic model can accurately describe abstract derivation.
- The framework supports the creation of concise abstract sentences from larger text chunks.
- The model is adaptable and utilizes existing linguistic resources.