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The Entity Name System: Enabling the web of entities.

, , and . ICDE Workshops, page 227-232. IEEE Computer Society, (2010)

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NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation., , , , and . LREC, page 3464-3470. European Language Resources Association (ELRA), (2014)A big data approach for Fuel Oil Consumption estimation in the maritime industry., , , , , and . BigDataService, page 39-47. IEEE, (2022)The Financial Narrative Summarisation Shared Task (FNS 2023)., , , , , , and . IEEE Big Data, page 2890-2896. IEEE, (2023)Using machine learning to predict mortality and morbidity after Traumatic Brain Injury., , , , and . SETN, page 55:1-55:5. ACM, (2022)Generating Realistic Nanorough Surfaces Using an N-Gram-Graph Augmented Deep Convolutional Generative Adversarial Network., , and . SETN, page 53:1-53:10. ACM, (2022)White Paper: Brief overview of current practices for open consultation., and . CoRR, (2016)Sentiment Analysis of Figurative Language using a Word Sense Disambiguation Approach., , , and . RANLP, page 370-375. RANLP 2009 Organising Committee / ACL, (2009)GeoSensor: On-line Scalable Change and Event Detection over Big Data., , , , , , , , , and 2 other author(s). WWW (Companion Volume), page 223-226. ACM, (2018)Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach., , , , and . MDM, page 394-400. IEEE, (2022)Machine Learning to Develop a Model that predicts Early Impending sepsis in Neurosurgical patients., , , , and . SETN, page 54:1-54:5. ACM, (2022)