Topical PageRank: A model of scientific expertise for bibliographic search

14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

Volumn , Issue , 2014, Pages 501-510

  Jardine, James ^a   Teufel, Simone ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

BENEFICIAL EFFECTS; NETWORK PROPERTIES; QUERY SIMILARITY; REFERENCE LIST; SCIENTIFIC EXPERTISE; STATE OF THE ART; TOPIC NETWORKS; TRANSITION PROBABILITIES;

SEARCH ENGINES;

EID: 84905708946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/e14-1053     Document Type: Conference Paper

References (56)

1. N. Agarwal, E. Haque, H. Liu, and L. Parsons. 2005. Research paper recommender systems: A subspace clustering approach. Advances in Web-Age Information Management.
2. S. Ananiadou. 1994. A methodology for automatic term recognition. In Proceedings of COLING.
3. S.K. Pal, B. Narayan, C. Murthy. 2003. Topic continuity for web document categorization and ranking. In IEEE/WIC International Conference on Web Intelligence.
4. B.D. Davison, B. Wu, V. Goel. 2006. Topical trustrank: Using topicality to combat web spam. In Proceedings of the 15th international conference on World Wide Web.
5. S. Bethard and D. Jurafsky. 2010. Who should i cite: Learning literature search models from citation behavior. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management.
6. K. Bharat and M.R. Henzinger. 1998. Improved algorithms for topic distillation in a hyperlinked environment. In Proceedings of SIGIR.
7. S. Bird, R. Dale, B.J. Dorr, B. Gibson, M.T. Joseph, M.Y. Kan, D. Lee, B. Powley, D.R. Radev, and Y.F. Tan. 2008. The ACL anthology reference corpus: A reference dataset for bibliographic research in computational linguistics. In Proc. of LREC08.
8. D.M. Blei and J.D. Lafferty. 2006. Correlated Topic Models. In Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, page 147. Citeseer.
9. D.M. Blei, A.Y. Ng, and M.I. Jordan. 2003. Latent dirichlet allocation. The Journal of Machine Learning Research, 3:993-1022.
10. J. Boyd-Graber, D. Blei, and X. Zhu. 2007. A topic model for word sense disambiguation. In Proceedings of EMNLP-CoNLL, pages 1024-1033.
11. S. Brin and L. Page. 1998. The anatomy of a large-scale hypertextual web search engine. In Proceedings of the 7th International World Wide Web Conference.
12. J. Chang and D.M. Blei. 2010. Hierarchical relational models for document networks. The Annals of Applied Statistics, 4(1):124-150.
13. P. Chen, H. Xie, S. Maslov, and S. Redner. 2007. Finding scientific gems with google's pagerank algorithm. Journal of Infometrics, 1(1):8-15.
14. D. Cohn and T. Hofmann. 2001. The missing link-A probabilistic model of document content and hypertext connectivity. Advances in neural information processing systems, pages 430-436.
15. L. Dietz, S. Bickel, and T. Scheffer. 2007. Unsupervised prediction of citation influences. In Proceedings of the 24th international conference on Machine learning, page 240. ACM.
16. M.D. Ekstrand, P. Kannan, J.A. Stemper, J.T. Butler, J.A. Konstan, and J.T. Riedl. 2010. Automatically building research reading lists. In Proceedings of the fourth ACM conference on Recommender systems, pages 159-166. ACM.
17. E. Erosheva, S. Fienberg, and J. Lafferty. 2004. Mixedmembership models of scientific publications. Proceedings of the National Academy of Sciences of the United States of America, 101(Suppl 1):5220.
18. A. Fujii. 2007. Enhancing patent retrieval by citation analysis. In Proceedings of SIGIR.
19. E. Garfield. 1972. Citation analysis as a tool in journal evaluation. American Association for the Advancement of Science.
20. K. Goldberg, T. Roeder, D. Gupta, and C. Perkins. 2001. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4(2):133-151.
21. M. Gori and A. Pucci. 2006. Research paper recommender systems: A random-walk based approach. IEEE Computer Society.
22. A. Gruber, M. Rosen-Zvi, and Y. Weiss. 2007. Hidden topic markov models. In Proceedings of AISTATS.
23. T.H. Haveliwala. 2003. Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search. IEEE transactions on knowledge and data engineering, pages 784-796.
24. Q. He, B. Chen, J. Pei, B. Qiu, P. Mitra, and L. Giles. 2009. Detecting topic evolution in scientific literature: how can citations help? In Proceeding of the 18th ACM conference on Information and knowledge management.
25. Q. He, D. Kifer, J. Pei, P. Mitra, and C.L. Giles. 2011. Citation recommendation without author supervision. In Proceedings of the fourth ACM international conference on Web search and data mining.
26. J.S. Justeson and S.M. Katz. 1995. Technical terminology: some linguistic properties and an algorithm for identification in text. Natural Language Engineering, 1(01):9-27.
27. S. Kataria, P. Mitra, and S. Bhatia. 2010. Utilizing Context in Generative Bayesian Models for Linked Corpus. In Proceedings of AAAI.
28. M.M. Kessler. 1963. Bibliographic coupling between scientific papers. American Documentation, 14(1):10-25.
29. J. Kleinberg. 1998. Authoritative sources in a hyperlinked environment. In Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms. Also available from http://www.cs.cornell.edu/home/kleinber/.
30. P. Lopez and L. Romary. 2010. HUMB: Automatic Key Term Extraction from Scientific Articles in GROBID. In SemEval 2010 Workshop.
31. Y. et al. Lu. 2011. Recommending citations with translation model. In Proceedings of the 20th ACM international conference on Information and knowledge management.
32. N. Ma, J. Guan, and Y. Zhao. 2008. Bringing pagerank to the citation analysis. Information Processing and Management, 44(2):800-810.
33. G.S. Mann, D. Mimno, and A. McCallum. 2006. Bibliometric impact measures leveraging topic analysis. In Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries.
34. S.M. McNee, J. Riedl, and J.A. Konstan. 2006. Making recommendations better: An analytic model for human-recommender interaction. In CHI'06 extended abstracts on Human factors in computing systems.
35. E. Meij and M. De Rijke. 2007. Using prior information derived from citations in literature search. In Large Scale Semantic Access to Content (Text, Image, Video, and Sound).
36. R. Nallapati and W. Cohen. 2008. Link-plsa-lda: A new unsupervised model for topics and influence of blogs. In International Conference for Weblogs and Social Media.
37. D. Newman, P. Smyth, and M. Steyvers. 2006. Scalable Parallel Topic Models. Journal of Intelligence Community Research and Development.
38. L. Nie, B.D. Davison, and X. Qi. 2006. Topical link analysis for web search. In Proceedings of SIGIR.
39. L. Page, S. Brin, R. Motwani, and T. Winograd. 1998. The pagerank citation ranking: Bringing order to the web. Stanford Digital Library Technologies Project.
40. D.R. Radev, P. Muthukrishnan, and V. Qazvinian. 2009. The ACL Anthology Network Corpus. In Proceedings, ACL Workshop on NLP and IR for Digital Libraries, Singapore.
41. M. Richardson and P Domingos. 2002. The intelligent surfer: Probabilistic combination of link and content information in pagerank. Advances in neural information processing systems, 14:1441-1448.
42. M. Rosen-Zvi, C. Chemudugunta, T. Griffiths, P. Smyth, and M. Steyvers. 2010. Learning author-topic models from text corpora. ACM Transactions on Information Systems (TOIS), 28(1):1-38.
43. B. Narayan, S.K. Pal. 2005. A web surfer model incorporating topic continuity. IEEE Transactions on Knowledge and Data Engineering, 17:726-729.
44. H.G. Small. 1978. Cited documents as concept symbols. Social Studies of Science, 8:327-340.
45. M. Steyvers and T. Griffiths. 2007. Probabilistic topic models. In T. Landauer, D. S. McNamara, S. Dennis, and W. Kintsch, editors, Handbook of latent semantic analysis, page 427. Erlbaum, Hillsdale, NJ.
46. T. Strohman, W.B. Croft, and D. Jensen. 2007. Recommending citations for academic papers. In Proceedings of SIGIR.
47. J. Tang and J. Zhang. 2009. A discriminative approach to Topic-Based citation recommendation. Advances in Knowledge Discovery and Data Mining.
48. J. Tang, R. Jin, and J. Zhang. 2008. A topic modeling approach and its integration into the random walk framework for academic search. In Eighth IEEE International Conference on Data Mining.
49. R. Torres, S.M. McNee, M. Abel, J.A. Konstan, and J. Riedl. 2004. Enhancing digital libraries with Tech- Lens+. In Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries.
50. D. Walker, H. Xie, K.K. Yan, and S. Maslov. 2007. Ranking scientific publications using a model of network traffic. Journal of Statistical Mechanics: Theory and Experiment, 2007:P06010.
51. H.M. Wallach. 2006. Topic modeling: beyond bag-ofwords (powerpoint). In Proceedings of the 23rd international conference on Machine learning.
52. X. Wang, A. McCallum, and X. Wei. 2007. Topical ngrams: Phrase and topic discovery, with an application to information retrieval. In Proceedings of the 7th IEEE international conference on data mining.
53. X. Wei and W.B. Croft. 2006. LDA-based document models for ad-hoc retrieval. In Proceedings of SIGIR.
54. W. Wong, W. Liu, and M. Bennamoun. 2009. A probabilistic framework for automatic term recognition. Intelligent Data Analysis, 13(4):499-539.
55. Z. Yang, J. Tang, J. Zhang, J. Li, and B. Gao. 2009. Topic-level random walk through probabilistic model. Advances in Data and Web Management.
56. D. Zhou, S. Zhu, K. Yu, X. Song, B.L. Tseng, H. Zha, and C.L. Giles. 2008. Learning multiple graphs for document recommendations. In Proceeding of the 17th international conference on World Wide Web.