Enriching the "Senso Comune" Platform with Automatically Acquired Data

• Main Authors: Caselli, Tommaso, Vieu, Laure, Strapparava, Carlo, Vetere, Guido
• Other Authors: Trento Rise (ITALY), MEthodes et ingénierie des Langues, des Ontologies et du DIscours (IRIT-MELODI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Laboratory for Applied Ontology (LOA), Istituto di Scienze e Tecnologie della Cognizione Trento (ISTC-CNR), Centre National de la Recherche Scientifique (CNRS), Fondazione Bruno Kessler Trento, Italy (FBK), IBM Centers for Advanced Studies - CAS (ITALY)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: Word Sense Alignment; Verb Frame Acquisition; Lexico-semantic Resource; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Iceland
• Online Access: https://hal.archives-ouvertes.fr/hal-01138072; https://hal.archives-ouvertes.fr/hal-01138072/document; https://hal.archives-ouvertes.fr/hal-01138072/file/Caselli_13177.pdf

International audience This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for noun sense alignment and a F-measure of 0.47 for verb sense alignment, and an accuracy of 68% on the acquisition of VerbShallow Frames.