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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 – 3 of 3 1 Mama/Papa, Is this Text for Me? Rahman, Rashedur; Lecorvé, Gwénolé; Chevelu, Jonathan... In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03112352 ; International Conference on Computational Linguistics, Dec 2020, Virtuel, Spain (2020) BASE Show details 2 Impact of Entity Graphs on Extracting Semantic Relations Rahman, Rashedur; Grau, Brigitte; Rosset, Sophie In: Information Management and Big Data.4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers ; https://hal.archives-ouvertes.fr/hal-01802577 ; Springer. Information Management and Big Data.4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers, pp.31-47, 2018, Communications in Computer and Information Science, ⟨10.1007/978-3-319-90596-9_3⟩ (2018) BASE Show details 3 Community graph and linguistic analysis to validate relationships for knowledge base population Rahman, Rashedur; Grau, Brigitte; Rosset, Sophie In: 4th International Symposium on Information Management and Big Data (SimBig 2017) ; https://hal.archives-ouvertes.fr/hal-01617291 ; 4th International Symposium on Information Management and Big Data (SimBig 2017), Sep 2017, Lima, Peru (2017) Abstract: International audience ; Relation extraction between entities from text plays an important role in information extraction and knowledge discovery related tasks. Relation extraction systems produce a large number of candidates where many of them are not correct. A relation validation method justifies a claimed relation based on the information provided by a system. In this paper, we propose some features by analyzing the community graphs of entities to account for some sort of world knowledge. The proposed features improve validation of relations significantly when they are combined with voting and some state-of-the-art linguistic features. Keyword: [INFO]Computer Science [cs] URL: https://hal.archives-ouvertes.fr/hal-01617291/file/simbig.pdf https://hal.archives-ouvertes.fr/hal-01617291 https://hal.archives-ouvertes.fr/hal-01617291/document BASE Hide details

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