A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Representations of quasi-Newton matrices and their use in limited memory methods
Mathematical Programming: Series A and B
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A machine learning based approach for table detection on the web
Proceedings of the 11th international conference on World Wide Web
A framework for web table mining
Proceedings of the 4th international workshop on Web information and data management
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Identifying and Filtering Near-Duplicate Documents
COM '00 Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching
Table extraction using conditional random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Adaptive Name Matching in Information Integration
IEEE Intelligent Systems
Resume information extraction with cascaded hybrid model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
An architecture for a next-generation holistic e-recruiting system
Communications of the ACM - Creating a science of games
Matching resumes and jobs based on relevance models
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Decision support for team staffing: An automated relational recommendation approach
Decision Support Systems
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Foundations and Trends in Databases
Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
Leveraging social networks for corporate staffing and expert recommendation
IBM Journal of Research and Development
Efficient multifaceted screening of job applicants
Proceedings of the 16th International Conference on Extending Database Technology
International Journal of Metadata, Semantics and Ontologies
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Companies often receive thousands of resumes for each job posting and employ dedicated screeners to short list qualified applicants. In this paper, we present PROSPECT, a decision support tool to help these screeners shortlist resumes efficiently. Prospect mines resumes to extract salient aspects of candidate profiles like skills, experience in each skill, education details and past experience. Extracted information is presented in the form of facets to aid recruiters in the task of screening. We also employ Information Retrieval techniques to rank all applicants for a given job opening. In our experiments we show that extracted information improves our ranking by 30% there by making screening task simpler and more efficient.