Using Hedges to Classify Citations in Scientific Articles

Marco, Chrysanne Di; Kroon, Frederick; Mercer, Robert E.

doi:10.1007/1-4020-4102-0_19

Cited by 31 publications

(14 citation statements)

References 18 publications

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“…He finds that hedges are similarly distributed between abstracts and full-text and that they are most frequent in Results and Discussion sections of scientific articles. DiMarco and Mercer [5] study the intended communicative purpose (dispute, confirmation, use of materials, tools, etc.) of citations in scientific text and show that hedging is used more frequently in citation contexts.…”

Section: Introductionmentioning

confidence: 99%

Recognizing speculative language in biomedical research articles: a linguistically motivated perspective

Kilicoglu¹,

Bergler²

2008

BMC Bioinformatics

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Background: Due to the nature of scientific methodology, research articles are rich in speculative and tentative statements, also known as hedges. We explore a linguistically motivated approach to the problem of recognizing such language in biomedical research articles. Our approach draws on prior linguistic work as well as existing lexical resources to create a dictionary of hedging cues and extends it by introducing syntactic patterns.

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Section: Introductionmentioning

confidence: 99%

Recognizing speculative language in biomedical research articles: a linguistically motivated perspective

Kilicoglu¹,

Bergler²

2008

BMC Bioinformatics

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“…Automatic hedge/uncertainty detection has generated active research in recent years within the NLP community. Early work in this area focused on detecting speculative language in scientific text (Mercer et al, 2004;Di Marco et al, 2006;Kilicoglu and Bergler, 2008). The open evaluation as part of the CoNLL shared task in 2010 to detect uncertainty and hedging in biomedical and Wikipedia text (Farkas et al, 2010) triggered further research on this problem in the general domain (Agarwal and Yu, 2010;Morante et al, 2010;Velldal et al, 2012;Choi et al, 2012).…”

Section: Related Workmentioning

confidence: 99%

“…Initial studies in this area were done in processing hedges, uncertainty and lack of commitment, specifically focused on scientific text (Mercer et al, 2004;Di Marco et al, 2006;Farkas et al, 2010). More recently, researchers have also looked into capturing author commitment in nonscientific text, e.g., levels of factuality in newswire (Saurí and Pustejovsky, 2009), types of commitment of beliefs in a variety of genres including conversational text (Diab et al, 2009;Prabhakaran et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions

Prabhakaran

Ganeshkumar²,

Rambow

2018

Proceedings of the 2018 Conference of the North American Chapter Of the Association for Computational Linguistics: Hu

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Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human behavior, as well as to computer scientists who want to build automatic methods to infer the social contexts of interactions. In this paper, we employ advancements in extrapropositional semantics extraction within NLP to study how author commitment reflects the social context of an interactions. Specifically, we investigate whether the level of commitment expressed by individuals in an organizational interaction reflects the hierarchical power structures they are part of. We find that subordinates use significantly more instances of non-commitment than superiors. More importantly, we also find that subordinates attribute propositions to other agents more often than superiors do -an aspect that has not been studied before. Finally, we show that enriching lexical features with commitment labels captures important distinctions in social meanings.

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“…While most groups either only address meta-information such as bibliographic data for citation analysis, or do text mining in abstracts or content (Ananiadou, 2007), the Searchbench is probably the first system that addresses both text analytics with a semantic index as well as citation analysis and search based on a common pre-processing and an integrated user interface on a non-trivial document collection. Garzone (1996), DiMarco, Kroon and Mercer (2006), and Teufel, Siddharthan and Tidhar (2006) address citation function analysis based on citation sentences and their context. The only approach, to our best knowledge, that applies deep linguistic parsing to generate a structured semantic search index as we do, is the Medie/ Info-Pubmed system (Ohta et al, 2010), but operating on Medline abstracts only, while we address the full content of research papers, including citations and references.…”

Section: Related Workmentioning

confidence: 99%

The Searchbench - Combining Sentence-semantic, Full-text and Bibliographic Search in Digital Libraries

Schäfer

Kiefer

Spurk

et al. 2013

LIBER

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We describe a novel approach to precise searching in the full content of digital libraries. The Searchbench (for search workbench) is based on sentence-wise syntactic and semantic natural language processing (NLP) of both born-digital and scanned publications in PDF format. The term born-digital means natively digital, i.e. prepared electronically using typesetting systems such as LaTeX, OpenOffice, and the like. In the Searchbench, queries can be formulated as (possibly underspecified) statements, consisting of simple subject-predicate-object constructs such as ‘algorithm improves word alignment’. This reduces the number of false hits in large document collections when the search words happen to appear close to each other, but are not semantically related. The method also abstracts from passive voice and predicate synonyms. Moreover, negated statements can be excluded from the search results, and negated antonym predicates again count as synonyms (e.g. not include = exclude).In the Searchbench, a sentence-semantic search can be combined with search filters for classical full-text, bibliographic metadata and automatically computed domain terms. Auto-suggest fields facilitate text input. Queries can be bookmarked or emailed. Furthermore, a novel citation browser in the Searchbench allows graphical navigation in citation networks. These have been extracted automatically from metadata and paper texts. The citation browser displays short phrases from citation sentences at the edges in the citation graph and thus allows students and researchers to quickly browse publications and immerse into a new research field. By clicking on a citation edge, the original citation sentence is shown in context, and optionally also in the original PDF layout.To showcase the usefulness of our research, we have a applied it to a collection of currently approx. 25,000 open access research papers in the field of computational linguistics and language technology, the ACL Anthology ( http://aclweb.org/anthology). The Searchbench user interface is a web application running in every modern, JavaScript-enabled web browser, also on smart phones and tablet computers. The system is a free and public service at http://aclasb.dfki.de. Because the NLP technology is domain-independent, it could also be applied to newspaper texts, technical documentation, or scientific publications from other disciplines. The aim of this paper is to make the benefits of this new, language technology based approach known in library research and related fields.This article summarises 9 peer reviewed publications from the past three years that have been published in international conferences and workshops in the area of computational linguistics, and tries to present them in an appropriate way to the LIBER audience. The original papers contain more details and are freely available from the author’s homepage[1] or via the Searchbench[2].

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Using Hedges to Classify Citations in Scientific Articles

Cited by 31 publications

References 18 publications

Recognizing speculative language in biomedical research articles: a linguistically motivated perspective

Recognizing speculative language in biomedical research articles: a linguistically motivated perspective

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions

The Searchbench - Combining Sentence-semantic, Full-text and Bibliographic Search in Digital Libraries

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