Все выпуски
- 2024 Том 16
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- 2022 Том 14
- 2021 Том 13
- 2020 Том 12
- 2019 Том 11
- 2018 Том 10
- 2017 Том 9
- 2016 Том 8
- 2015 Том 7
- 2014 Том 6
- 2013 Том 5
- 2012 Том 4
- 2011 Том 3
- 2010 Том 2
- 2009 Том 1
Задачи и методы автоматического построения графа цитирований по коллекции научных документов
Список литературы:
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- Adaptive name matching in information integration // IEEE Intelligent Systems. — 2003. — V. 18. — P. 16–23. — DOI: 10.1109/MIS.2003.1234765. , , , , .
- Automatic segmentation of text into structured records. — 2001. , , .
- Topic-based document segmentation with probabilistic latent semantic analysis / Proceedings of CIKM. — ACM Press, 2002. — P. 211–218. — McLean. — ads: 2002evn..conf..203B. .
- Latent semantic analysis for text segmentation / Proceedings of EMNLP. — 2001. — P. 109–117. , , .
- A survey of indexing techniques for scalable record linkage and deduplication // IEEE Transactions on Knowledge and Data Engineering. — 2012. — V. 24. — P. 1537–1555. — DOI: 10.1109/TKDE.2011.127. .
- Probabilistic name and address cleaning and standardisation. — 2002. , , .
- Learning to match and cluster large high-dimensional data sets for data integration. — 2002. , .
- A comparison of string distance metrics for namematching tasks. — 2003. — P. 73–78. , , .
- Flux-cim: flexible unsupervised extraction of citation metadata / JCDL ’07: Proceedings of the 7th ACM. , , , , .
- Parscit: An open-source crf reference string parsing package / International language resources and evaluation. — European Language Resources Association, 2008. , , .
- Duplicate record detection: A survey / Transactions on knowledge and data engineering. — 2007. — P. 2007. — MathSciNet: MR2269091. , , .
- Automatic document metadata extraction using support vector machines / JCDL ’03: Proceedings of the 3rd ACM. , , , , .
- Use of support vector learning for chunk identification / Proceedings of CoNLL-2000 and LLL-2000. — 2000. — P. 142–144. , .
- Conditional random fields: Probabilistic models for segmenting and labeling sequence data. — Morgan Kaufmann, 2001. — P. 282–289. .
- Efficient clustering of high-dimensional data sets with application to reference matching. — 2000. , , .
- C4.5: programs for machine learning. — San Francisco, CA, USA: Morgan Kaufmann Publishers Inc, 1993. .
- A tutorial on hidden markov models and selected applications in speech recognition // Proceedings of the IEEE. — 1989. — V. 77, no. 2. — P. 257–286. — DOI: 10.1109/5.18626. .
- Hierarchical hidden markov models for information extraction / Proceedings of the 18th International Joint Conference on Artificial Intelligence. — Morgan Kaufmann, 2003. — P. 427–433. , , .
- Hidden semi-markov models // Artificial Intelligence. — 2010. — MathSciNet: MR2724430. .
- Text chunking based on a generalization of winnow // Journal of Machine Learning Research. — 2001. — no. 2. — P. 615–637. , , .
Журнал индексируется в Scopus
Полнотекстовая версия журнала доступна также на сайте научной электронной библиотеки eLIBRARY.RU
Журнал входит в систему Российского индекса научного цитирования.
Журнал включен в базу данных Russian Science Citation Index (RSCI) на платформе Web of Science
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