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Visualizing citation relations with network structures is widely used, but the visual complexity can make it challenging for individual researchers trying to navigate them. We collected data from 18 researchers with an interface that we…

Human-Computer Interaction · Computer Science 2024-12-30 Kiroong Choe , Eunhye Kim , Sangwon Park , Jinwook Seo

Dictionary-based entity extraction involves finding mentions of dictionary entities in text. Text mentions are often noisy, containing spurious or missing words. Efficient algorithms for detecting approximate entity mentions follow one of…

Databases · Computer Science 2015-12-17 Ndapandula Nakashole

Document indexation is an essential task achieved by archivists or automatic indexing tools. To retrieve relevant documents to a query, keywords describing this document have to be carefully chosen. Archivists have to find out the right…

Information Retrieval · Computer Science 2009-12-09 Carlo Abi Chahine , Nathalie Chaignaud , Jean-Philippe Kotowicz , Jean-Pierre Pécuchet

Automatically extracting organization names from the affiliation sentences of articles related to biomedicine is of great interest to the pharmaceutical marketing industry, health care funding agencies and public health officials. It will…

Digital Libraries · Computer Science 2010-05-17 Siddhartha Jonnalagadda , Philip Topham , Graciela Gonzalez

We present data augmentation techniques for process extraction tasks in scientific publications. We cast the process extraction task as a sequence labeling task where we identify all the entities in a sentence and label them according to…

Computation and Language · Computer Science 2025-04-16 Yuni Susanti

This technical memo describes Information Extraction from the point-of-view of a potential user of the technology. No knowledge of language processing is assumed. Information Extraction is a process which takes unseen texts as input and…

cmp-lg · Computer Science 2008-02-03 Hamish Cunningham

Evidence plays a crucial role in any biomedical research narrative, providing justification for some claims and refutation for others. We seek to build models of scientific argument using information extraction methods from full-text…

Computation and Language · Computer Science 2025-05-19 Xiangci Li , Gully Burns , Nanyun Peng

Keyphrases provide a simple way of describing a document, giving the reader some clues about its contents. Keyphrases can be useful in a various applications such as retrieval engines, browsing interfaces, thesaurus construction, text…

Information Retrieval · Computer Science 2010-04-20 Kamal Sarkar , Mita Nasipuri , Suranjan Ghose

Information about the contributions of individual authors to scientific publications is important for assessing authors' achievements. Some biomedical publications have a short section that describes authors' roles and contributions. It is…

Computation and Language · Computer Science 2019-12-24 Dominika Tkaczyk , Andrew Collins , Joeran Beel

Scientific abstracts are often used as proxies for the content and thematic focus of research publications. However, a significant share of published abstracts contains extraneous information-such as publisher copyright statements, section…

Computation and Language · Computer Science 2026-01-01 Michael E. Rose , Nils A. Herrmann , Sebastian Erhardt

Automatic extraction of forum posts and metadata is a crucial but challenging task since forums do not expose their content in a standardized structure. Content extraction methods, therefore, often need customizations such as adaptations to…

Information Retrieval · Computer Science 2021-08-05 Albert Weichselbraun , Adrian M. P. Brasoveanu , Roger Waldvogel , Fabian Odoni

This study explores three approaches to processing table data in scientific papers to enhance extractive question answering and develop a software tool for the systematic review process. The methods evaluated include: (1) Optical Character…

Information Retrieval · Computer Science 2025-08-27 Dongyoun Kim , Hyung-do Choi , Youngsun Jang , John Kim

With the development of Internet technology, the phenomenon of information overload is becoming more and more obvious. It takes a lot of time for users to obtain the information they need. However, keyphrases that summarize document…

Information Retrieval · Computer Science 2021-12-01 Chengzhi Zhang , Lei Zhao , Mengyuan Zhao , Yingyi Zhang

We investigate different systems for extracting mathematical entities from English texts in the mathematical field of category theory as a first step for constructing a mathematical knowledge graph. We consider four different term…

Computation and Language · Computer Science 2022-08-31 Jacob Collard , Valeria de Paiva , Brendan Fong , Eswaran Subrahmanian

In this paper we present a general method for information extraction that exploits the features of data compression techniques. We first define and focus our attention on the so-called "dictionary" of a sequence. Dictionaries are…

Statistical Mechanics · Physics 2009-11-10 A. Baronchelli , E. Caglioti , V. Loreto , E. Pizzi

Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded within PDF research documents is a very challenging task due to the existence of visual features…

Information Retrieval · Computer Science 2022-11-01 Pratik Kayal , Mrinal Anand , Harsh Desai , Mayank Singh

When looking into recent research trends in the field of academic landscape, citation network analysis is common and automated clustering of many academic papers has been achieved by making good use of various techniques. However,…

Digital Libraries · Computer Science 2013-10-21 Akira Otsuki

Every field of research consists of multiple application areas with various techniques routinely used to solve problems in these wide range of application areas. With the exponential growth in research volumes, it has become difficult to…

Computation and Language · Computer Science 2016-08-24 Soham Dan , Sanyam Agarwal , Mayank Singh , Pawan Goyal , Animesh Mukherjee

The volume of academic literature, such as academic conference papers and journals, has increased rapidly worldwide, and research on metadata extraction is ongoing. However, high-performing metadata extraction is still challenging due to…

Machine Learning · Computer Science 2021-12-24 Jongyun Choi , Hyesoo Kong , Hwamook Yoon , Heung-Seon Oh , Yuchul Jung

The main objective of this study is to conduct a bibliometric analysis of scholarly publications of Authorship Pattern. The present study covers 1723 research papers published in the area of authorship pattern and indexed in Scopus database…

Digital Libraries · Computer Science 2023-04-24 Deep Kumar Kirtania