Madian Khabsa

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C. Lee Giles75
Isaac G. Councill28
Kyle Williams27
Prasenjit Mitra27
Jian Wu27
52C. Lee Giles
33Jian Wu
31Kyle Williams
19Alexander G. Ororbia
14Kashish A. Shakil

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2010
2016

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CiteSeerX: AI in a Digital Library Search Engine
CiteSeerX is a digital library search engine that provides access to more than 4 million academic documents with nearly a million users and millions of hits per day. Artificial intelligence (AI) technologies are used in many components of CiteSeerX e.g. to accurately extract metadata, intelligently crawl the web, and ingest documents. We present key AI… (More)
SeerSuite: Developing a Scalable and Reliable Application Framework for Building Digital Libraries by Crawling the Web
SeerSuite is a framework for scientific and academic digital libraries and search engines built by crawling scientific and academic documents from the web with a focus on providing reliable, robust services. In addition to full text indexing, SeerSuite supports autonomous citation indexing and automatically links references in research articles to… (More)
Towards building a scholarly big data platform: Challenges, lessons and opportunities
We introduce a big data platform that provides various services for harvesting scholarly information and enabling efficient scholarly applications. The core architecture of the platform is built on a secured private cloud, crawls data using a scholarly focused crawler that leverages a dynamic scheduler, processes by utilizing a map reduce based… (More)
The CHEMDNER corpus of chemicals and drugs and its annotation principles
The automatic extraction of chemical information from text requires the recognition of chemical entity mentions as one of its key steps. When developing supervised named entity recognition (NER) systems, the availability of a large, manually annotated text corpus is desirable. Furthermore, large corpora permit the robust evaluation and comparison of… (More)
AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries
Acknowledgments are widely used in scientific articles to express gratitude and credit collaborators. Despite suggestions that indexing acknowledgments automatically will give interesting insights, there is currently, to the best of our knowledge, no such system to track acknowledgments and index them. In this paper we introduce AckSeer, a search engine and… (More)
Large scale author name disambiguation in digital libraries
Person name disambiguation is essential to distinguish between persons that share the same name where unique identifiers are not present. In many domains this is a common problem including digital libraries where the same name can refer to multiple unique authors. Correctly attributing work and citations requires the digital library's database to be… (More)
Automatic Identification of Research Articles from Crawled Documents
Online digital libraries that store and index research articles not only make it easier for researchers to search for scientific information, but also have been proven as powerful resources in many data mining, machine learning and information retrieval applications that require high-quality data. The quality of the data available in digital libraries… (More)
Scholarly big data information extraction and integration in the CiteSeerχ digital library
—CiteSeer χ is a digital library that contains approximately 3.5 million scholarly documents and receives between 2 and 4 million requests per day. In addition to making documents available via a public Website, the data is also used to facilitate research in areas like citation analysis, co-author network analysis, scalability evaluation and information… (More)