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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Dredze, Mark; Mayfield, James. - : Underline Science Inc., 2021 BASE Show details 2 Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling ... NAACL 2021 2021; Dredze, Mark; Mueller, Aaron. - : Underline Science Inc., 2021 BASE Show details 3 Learning unsupervised contextual representations for medical synonym discovery Schumacher, Elliot; Dredze, Mark. - : Oxford University Press, 2019 BASE Show details 4 Entity Disambiguation for Knowledge Base Population ... Dredze, Mark; McNamee, Paul; Rao, Delip; Gerber, Adam; Finin, Tim. - : My University, 2010 Abstract: Proceedings of the 23rd International Conference on Computational Linguistics ... : The integration of facts derived from information extraction systems into existing knowledge bases requires a system to disambiguate entity mentions in the text. This is challenging due to issues such as non-uniform variations in entity names, mention ambiguity, and entities absent from a knowledge base. We present a state of the art system for entity disambiguation that not only addresses these challenges but also scales to knowledge bases with several million entries using very little resources. Further, our approach achieves performance of up to 95% on entities mentioned from newswire and 80% on a public test set that was designed to include challenging queries. ... Keyword: information extraction; knowledge base; natural language processing; UMBC Ebiquity Research Group URL: http://mdsoar.org/handle/11603/11986 https://dx.doi.org/10.13016/m29w0934d BASE Hide details 5 Annotating named entities in Twitter data with crowdsourcing ... Finin, Tim; Murnane, Will; Karandikar, Anand. - : Association for Computational Linguistics, 2010 BASE Show details 6 Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis ... Lerman, Kevin; Gilder, Ari; Dredze, Mark. - : Columbia University, 2008 BASE Show details 7 Further Results and Analysis of Icelandic Part of Speech Tagging Dredze, Mark; Wallenberg, Joel In: Technical Reports (CIS) (2008) BASE Show details

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