The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Expertise modeling for matching papers with reviewers
Open accessAbstract
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate several measures of the association between an author in an existing collection of research papers and a previously unseen document. We compare two language model based approaches with a novel topic model, Author-Persona-Topic (APT). In this model, each author can write under one or more "personas," which are represented as independent distributions over hidden topics. Examples of previous papers written by prospective reviewers are gathered from the Rexa database, which extracts and disambiguates author mentions from documents gathered from the web. We evaluate the models using a reviewer matching task based on human relevance judgments determining how well the expertise of proposed reviewers matches a submission. We find that the APT topic model outperforms the other models.
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A Language Modeling Approach to Information Retrieval
Ponte, J. M., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130368 · Cited by 2,503
A language modeling approach to information retrieval
Ponte, J. M., & Croft, W. B. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291008 · Cited by 1,821
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval
Zhai, C., & Lafferty, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130377 · Cited by 1,537
The author-topic model for authors and documents
Rosen‐Zvi, M., Griffiths, T. L., Steyvers, M., & Smyth, P. (2004) · Uncertainty in Artificial Intelligence · doi:10.5555/1036843.1036902 · Cited by 1,280
LDA-based document models for ad-hoc retrieval
Wei, X., & Croft, W. B. (2006) · Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1148170.1148204 · Cited by 1,075
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Zhai, C., & Lafferty, J. (2001) · Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/383952.384019 · Cited by 889
Retrieval evaluation with incomplete information
Buckley, C., & Voorhees, E. M. (2004) · Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1008992.1009000 · Cited by 736
Formal models for expert finding in enterprise corpora
Balog, K., Azzopardi, L., & de Rijke, M. (2006) · Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1148170.1148181 · Cited by 553
Topic and role discovery in social networks
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Challenges, experiments, and computational solutions in peer review
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Metadata
- Authors
- Mimno, D., & McCallum, A.
- Venue
- Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2007-08-12
- Pages
- 500-509
- OpenAlex
- W2166001595
- Cited by
- 257
- References
- 16
- FWCI
- 8.02
- Type
- conference paper
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
