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Scientific Paper Summarization Using Citation Summary Networks
"... Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this problem is to summarize a scientific topic. In this paper, we propose a model of summarizing a single article, which can be fu ..."
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Cited by 71 (16 self)
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Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this problem is to summarize a scientific topic. In this paper, we propose a model of summarizing a single article, which can be further used to summarize an entire topic. Our model is based on analyzing others’ viewpoint of the target article’s contributions and the study of its citation summary network using a clustering approach. 1
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
"... The ACL Anthology is a digital archive of conference and journal papers in natural language processing and computational linguistics. Its primary purpose is to serve as a reference repository of research results, but we believe that it can also be an object of study and a platform for research in it ..."
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Cited by 41 (8 self)
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The ACL Anthology is a digital archive of conference and journal papers in natural language processing and computational linguistics. Its primary purpose is to serve as a reference repository of research results, but we believe that it can also be an object of study and a platform for research in its own right. We describe an enriched and standardized reference corpus derived from the ACL Anthology that can be used for research in scholarly document processing. This corpus, which we call the ACL Anthology Reference Corpus (ACL ARC), brings together the recent activities of a number of research groups around the world. Our goal is to make the corpus widely available, and to encourage other researchers to use it as a standard testbed for experiments in both bibliographic and bibliometric research. 1.
Identifying Non-explicit Citing Sentences for Citation-based Summarization
"... Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose a general framework based on probabilistic inference to extract such context information from scientific papers. We model ..."
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Cited by 26 (3 self)
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Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose a general framework based on probabilistic inference to extract such context information from scientific papers. We model the sentences in an article and their lexical similarities as a Markov Random Field tuned to detect the patterns that context data create, and employ a Belief Propagation mechanism to detect likely context sentences. We also address the problem of generating surveys of scientific papers. Our experiments show greater pyramid scores for surveys generated using such context information rather than citation sentences alone. 1
The ACL Anthology Network corpus
, 2009
"... We introduce the ACL Anthology Network (AAN), a manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics. We also present a number of statistics about the network including the most cited authors, the most central collaborators, as wel ..."
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Cited by 20 (3 self)
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We introduce the ACL Anthology Network (AAN), a manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics. We also present a number of statistics about the network including the most cited authors, the most central collaborators, as well as network statistics about the paper citation, author citation, and author collaboration networks.
Using Citations to Generate Surveys of Scientific Paradigms.
, 2009
"... Abstract The number of research publications in various disciplines is growing exponentially. Researchers and scientists are increasingly finding themselves in the position of having to quickly understand large amounts of technical material. In this paper we present the first steps in producing an ..."
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Cited by 15 (4 self)
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Abstract The number of research publications in various disciplines is growing exponentially. Researchers and scientists are increasingly finding themselves in the position of having to quickly understand large amounts of technical material. In this paper we present the first steps in producing an automatically generated, readily consumable, technical survey. Specifically we explore the combination of citation information and summarization techniques. Even though prior work
Coherent Citation-Based Summarization of Scientific Papers
"... In citation-based summarization, text written by several researchers is leveraged to identify the important aspects of a target paper. Previous work on this problem focused almost exclusively on its extraction aspect (i.e. selecting a representative set of citation sentences that highlight the contr ..."
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Cited by 14 (1 self)
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In citation-based summarization, text written by several researchers is leveraged to identify the important aspects of a target paper. Previous work on this problem focused almost exclusively on its extraction aspect (i.e. selecting a representative set of citation sentences that highlight the contribution of the target paper). Meanwhile, the fluency of the produced summaries has been mostly ignored. For example, diversity, readability, cohesion, and ordering of the sentences included in the summary have not been thoroughly considered. This resulted in noisy and confusing summaries. In this work, we present an approach for producing readable and cohesive citation-based summaries. Our experiments show that the proposed approach outperforms several baselines in terms of both extraction quality and fluency. 1
Visual Overviews for Discovering Key Papers and Influences Across Research Fronts
"... Abstract: Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration occurring across fields. Visual overviews that show temporal patterns of paper publication and citation li ..."
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Cited by 12 (8 self)
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Abstract: Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration occurring across fields. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across sub-disciplines. This paper applies a novel network visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. The twodimensional layouts with multiple regions and user control of link visibility enable rapid exploration. We assess the value of our tool for this application by conducting a case study with six domain experts over a four-month period. The main benefits were being able (1) to easily identify key papers and see the increasing number of papers within a research front and (2) to quickly see the strength and direction of influence across related research fronts.
Whetting the Appetite of Scientists: Producing Summaries Tailored to the Citation Context ABSTRACT
"... The amount of scientific material available electronically is forever increasing. This makes reading the published literature, whether to stay up-to-date on a topic or to get up to speed on a new topic, a difficult task. Yet, this is an activity in which all researchers must be engaged on a regular ..."
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Cited by 4 (1 self)
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The amount of scientific material available electronically is forever increasing. This makes reading the published literature, whether to stay up-to-date on a topic or to get up to speed on a new topic, a difficult task. Yet, this is an activity in which all researchers must be engaged on a regular basis. Based on a user requirements analysis, we developed a new research tool, called the Citation-Sensitive In-Browser Summariser (CSIBS), which supports researchers in this browsing task. CSIBS enables readers to obtain information about a citation at the point at which they encounter it. This information is aimed at enabling the reader to determine whether or not to invest the time in exploring the cited article further, thus alleviating information overload. CSIBS builds a summary of the cited document, bringing together metadata about the document and a citation-sensitive preview that exploits the citation context to retrieve the sentences from the cited document that are relevant at this point. This paper briefly presents our user requirements analysis, then describes the system and, finally, discusses the observations from an initial pilot study. We found that CSIBS facilitates the relevancy judgment task, by increasing the users ’ selfreported confidence in making such judgements.
Reference Scope Identification in Citing Sentences
"... A citing sentence is one that appears in a scientific article and cites previous work. Citing sentences have been studied and used in many applications. For example, they have been used in scientific paper summarization, automatic survey generation, paraphrase identification, and citation function c ..."
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Cited by 3 (0 self)
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A citing sentence is one that appears in a scientific article and cites previous work. Citing sentences have been studied and used in many applications. For example, they have been used in scientific paper summarization, automatic survey generation, paraphrase identification, and citation function classification. Citing sentences that cite multiple papers are common in scientific writing. This observation should be taken into consideration when using citing sentences in applications. For instance, when a citing sentence is used in a summary of a scientific paper, only the fragments of the sentence that are relevant to the summarized paper should be included in the summary. In this paper, we present and compare three different approaches for identifying the fragments of a citing sentence that are related to a given target reference. Our methods are: word classification, sequence labeling, and segment classification. Our experiments show that segment classification achieves the best results. 1
Technical Trend Analysis by Analyzing Research Papers ' Titles
"... The history of the elemental technologies (underlying technologies) used in a particular research field is essential for analyz-ing technical trend in the field. However, it is too costly and time-consuming to collect and read all of the papers in the field for the purpose of this analysis. Therefor ..."
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Cited by 3 (3 self)
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The history of the elemental technologies (underlying technologies) used in a particular research field is essential for analyz-ing technical trend in the field. However, it is too costly and time-consuming to collect and read all of the papers in the field for the purpose of this analysis. Therefore, we have constructed a system that can recognize the application of elemental technologies to any research field. We focus on the structure of research papers ' titles for the extraction of elemental technol-ogies. In research papers ' titles, particular expressions, such as "using " or "is based on", are often used. The terms immediate-ly after these expressions are considered elemental technologies. Therefore, we used these expressions as cue phrases, and extracted elemental technologies from both English and Japanese titles. We conducted experiments to investigate the effec-tiveness of our method for analyzing the structure of titles. We obtained Recall and Precision scores of 0.825 and 0.816, re-spectively, for the analysis of Japanese titles, and scores of 0.735 and 0.780, respectively, for English titles. Finally, we con-structed a system that creates a technical trend map for a given research field. 1.
