UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
Alexander Chávez, Héctor Dávila, Yoan Gutiérrez, Armando Collazo, José I. Abreu, Antonio Fernández Orquín, Andrés Montoyo, Rafael Muñoz
- Anthology ID:
- S13-1015
- Volume:
- Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
- Month:
- June
- Year:
- 2013
- Address:
- Atlanta, Georgia, USA
- Editors:
- Mona Diab, Tim Baldwin, Marco Baroni
- Venue:
- *SEM
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 109–118
- Language:
- URL:
- https://aclanthology.org/S13-1015
- DOI:
- Cite (ACL):
- Alexander Chávez, Héctor Dávila, Yoan Gutiérrez, Armando Collazo, José I. Abreu, Antonio Fernández Orquín, Andrés Montoyo, and Rafael Muñoz. 2013. UMCC_DLSI: Textual Similarity based on Lexical-Semantic features. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, pages 109–118, Atlanta, Georgia, USA. Association for Computational Linguistics.
- Cite (Informal):
- UMCC_DLSI: Textual Similarity based on Lexical-Semantic features (Chávez et al., *SEM 2013)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/S13-1015.pdf
- Data
- FrameNet