Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Holy Sh*t: A Brief History of Swearing

By Melissa Mohr

Holy Sh*t: A Brief History of Swearing "contains original research into the history of swearing, and is scrupulous in analyzing the claims of other scholars."


New from Cambridge University Press!

ad

A New Manual of French Composition

By R. L. Graeme Ritchie

A New Manual of French Composition "provides a guide to French composition aimed at university students and the higher classes in schools. "


The LINGUIST List is dedicated to providing information on language and language analysis, and to providing the discipline of linguistics with the infrastructure necessary to function in the digital world. LINGUIST is a free resource, run by linguistics students and faculty, and supported primarily by your donations. Please support LINGUIST List during the 2016 Fund Drive.

Academic Paper


Title: Context identification of sentences in research articles: Towards developing intelligent tools for the research community
Author: M. A. Angrosh
Institution: University of Otago
Author: Stephen Cranefield
Institution: University of Otago
Author: Nigel Stanger
Institution: University of Otago
Linguistic Field: Computational Linguistics; Text/Corpus Linguistics
Abstract: Scientific literature is an important medium for disseminating scientific knowledge. However, in recent times, a dramatic increase in research output has resulted in challenges for the research community. An increasing need is felt for tools that exploit the full content of an article and provide insightful services with value beyond quantitative measures such as impact factors and citation counts. However, the intricacies of language and thought, and the unstructured format of research articles present challenges in providing such services. The identification of sentence contexts that encode the role of specific sentences in advancing an article's scientific argument can facilitate in developing intelligent tools for the research community. This paper describes our research work in this direction. First, we investigate the possibility of identifying contexts associated with sentences and propose a scheme of thirteen context type definitions for sentences, based on the generic rhetorical pattern found in scientific articles. We then present the results of our experiments using sequential classifiers – conditional random fields – for achieving automatic context identification. We also describe our Semantic Web application developed for providing citation context based information services for the research community. Finally, we present a comparison and analysis of our results with similar studies and explain the distinct features of our application.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 19, Issue 4, which you can READ on Cambridge's site or on LINGUIST .



Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page