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XRCE-M: A Hybrid System for Named Entity Metonymy Resolution.

, , and . SemEval@ACL, page 488-491. The Association for Computer Linguistics, (2007)

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Out-of-context fine-grained multi-word entity classification: exploring token, character n-gram and NN-based models for multilingual entity classification., , and . SAC, page 1001-1010. ACM, (2019)XRCE's Participation at Patent Image Classification and Image-based Patent Retrieval Tasks of the Clef-IP 2011., , and . CLEF (Notebook Papers/Labs/Workshop), volume 1177 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)Clustering of Multi-Word Named Entity variants: Multilingual Evaluation., , and . LREC, page 2548-2553. European Language Resources Association (ELRA), (2014)Medical image modality classification and retrieval., , and . CBMI, page 193-198. IEEE, (2011)Multi-word Entity Classification in a Highly Multilingual Environment., , , and . MWE@EACL, page 11-20. Association for Computational Linguistics, (2017)Joint Event Detection and Entity Resolution: a Virtuous Cycle., , and . CoRR, (2016)A Hybrid System for Named Entity Metonymy Resolution., , and . LTC, volume 5603 of Lecture Notes in Computer Science, page 118-130. Springer, (2007)Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms., , , and . LREC, European Language Resources Association (ELRA), (2016)Sentiment analysis meets social media - Challenges and solutions of the field in view of the current information sharing context., and . Inf. Process. Manage., 51 (4): 428-432 (2015)Metonimy resolution for named entities: an hybrid approach., , and . TAL, 50 (1): 87-110 (2009)