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Evaluating Citation Functions in CiTO: Cognitive Issues
- In: ESWC. LNCS 8465
, 2014
"... Abstract. Networks of citations are a key tool for referencing, dissem-inating and evaluating research results. The task of characterising the functional role of citations in scientific literature is very difficult, not only for software agents but for humans, too. The main problem is that the menta ..."
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Abstract. Networks of citations are a key tool for referencing, dissem-inating and evaluating research results. The task of characterising the functional role of citations in scientific literature is very difficult, not only for software agents but for humans, too. The main problem is that the mental models of different annotators hardly ever converge to a single shared opinion. The goal of this paper is to investigate how an existing reference model for classifying citations, namely CiTO (Citation Typing Ontology), is interpreted and used by annotators of scientific literature. We present an experiment capturing the cognitive processes behind sub-jects ’ decisions in annotating papers with CiTO, and we provide initial ideas to refine future releases of CiTO.
A Study of Lexical Distribution in Citation Contexts through the IMRaD Standard
"... Abstract. In this paper we present a large-scale approach for the ex-traction of verbs in reference contexts. We analyze citation contexts in relation with the IMRaD structure of scientific articles and use rank cor-relation analysis to characterize the distances between the section types. The resul ..."
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Abstract. In this paper we present a large-scale approach for the ex-traction of verbs in reference contexts. We analyze citation contexts in relation with the IMRaD structure of scientific articles and use rank cor-relation analysis to characterize the distances between the section types. The results show strong differences in the verb frequencies around ci-tations between the sections in the IMRaD structure. This study is a ”one-more-step ” towards the lexical and semantic analysis of citation contexts.
Towards a Generic and Flexible Citation Classifier Based on a Faceted Classification Scheme
"... Citations are a valuable resource for characterizing scientific publications that has already been used in applications such as summarization and information retrieval. These applications could be even better served by expanding citation information. We aim to achieve this by extracting and classify ..."
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Citations are a valuable resource for characterizing scientific publications that has already been used in applications such as summarization and information retrieval. These applications could be even better served by expanding citation information. We aim to achieve this by extracting and classifying citation information from the text, so that subsequent applications may make use of it. We make three contributions to the advancement of fine-grained citation classification. First, our work uses a standard classification scheme for citations that was developed independently of automatic classification and therefore is not bound to any particular citation application. Second, to address the lack of available annotated corpora and reproducible results for citation classification, we are making available a manually-annotated corpus as a benchmark for further citation classification research. Third, we introduce new features designed for citation classification and compare them experimentally with previously proposed citation features, showing that these new features improve classification accuracy.
Automated Citation Sentiment Analysis: What Can We Learn From Biomedical Researchers
"... Automated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in scientometrics and applied linguistics. The main goals of current citation sentiment analysis are to develop new tools to model scientific literature and provide authoring sup ..."
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Automated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in scientometrics and applied linguistics. The main goals of current citation sentiment analysis are to develop new tools to model scientific literature and provide authoring support for researchers in tasks like literature review. In terms of developing authoring support tools, however, current studies have not taken into consideration the behavioral patterns of researchers ’ literature review practice, leaving user need assessment as a missing piece in current interdisciplinary research effort. This paper analyzed biomedical researchers ’ need by reviewing their publications on using manual citation sentiment analysis for detecting citation bias, and discussed the differences between biomedical researchers ’ approach and current automated citation sentiment analysis model. These differences are expected to inform the modeling of automated citation sentiment analysis.
Using Natural Language Processing to Mine Multiple Perspectives from Social Media and Scientific Literature
, 2013
"... To my mother, my wife, and my adorable daughters ii ACKNOWLEDGEMENTS First and foremost, all praise and thanks are due to God for giving me the power to believe in my passion and pursue my dreams. I could never have finished this dissertation without the faith I have in Him. I am heartily thankful t ..."
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To my mother, my wife, and my adorable daughters ii ACKNOWLEDGEMENTS First and foremost, all praise and thanks are due to God for giving me the power to believe in my passion and pursue my dreams. I could never have finished this dissertation without the faith I have in Him. I am heartily thankful to my advisor, Professor Dragomir Radev for his splendid guidance and encouragement during the course of my studies. His support and insightful advice were crucial to my academic success and my development as a researcher. I am also grateful to Steven Abney, Eytan Adar, Qiaozhu Mei, and Emily Provost for serving on my dissertation committee and for providing constructive comments that made this dissertation better. I was fortunate to collaborate and discuss research with brilliant researchers at the Computational Linguistics and Information Retrieval (CLAIR) group at the univer-
Towards Fine-grained Citation Function Classification
"... We look into the problem of recogniz-ing citation functions in scientific liter-ature, trying to reveal authors ’ rationale for citing a particular article. We intro-duce an annotation scheme to annotate ci-tation functions in scientific papers with coarse-to-fine-grained categories, where the coars ..."
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We look into the problem of recogniz-ing citation functions in scientific liter-ature, trying to reveal authors ’ rationale for citing a particular article. We intro-duce an annotation scheme to annotate ci-tation functions in scientific papers with coarse-to-fine-grained categories, where the coarse-grained annotation roughly cor-responds to citation sentiment and the fine-grained annotation reveals more about ci-tation functions. We implement a Maxi-mum Entropy-based system trained on an-notated data under this scheme to auto-matically classify citation functions in sci-entific literature. Using combined lex-ical and syntactic features, our system achieves the F-measure of 67%. 1
