Making large-scale support vector machine learning practical
Advances in kernel methods
The rhetorical parsing of unrestricted texts: a surface-based approach
Computational Linguistics
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Improving machine learning approaches to coreference resolution
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Mining translations of OOV terms from the web through cross-lingual query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing citation contexts for information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Automatic classification of citation function
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
How to find better index terms through citations
CLIIR '06 Proceedings of the Workshop on How Can Computational Linguistics Improve Information Retrieval?
Identifying non-explicit citing sentences for citation-based summarization
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Context-enhanced citation sentiment detection
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Identifying claimed knowledge updates in biomedical research articles
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
Detection of implicit citations for sentiment detection
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
Citation based summarisation of legal texts
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Generating extractive summaries of scientific paradigms
Journal of Artificial Intelligence Research
AWC '13 Proceedings of the First Australasian Web Conference - Volume 144
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This paper proposes a new method based on coreference-chains for extracting citations from research papers. To evaluate our method we created a corpus of citations comprised of citing papers for 4 cited papers. We analyze some phenomena of citations that are present in our corpus, and then evaluate our method against a cue-phrase-based technique. Our method demonstrates higher precision by 7--10%.