Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings

8 June 2017

Papers citing "Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings"

6 / 6 papers shown

Title
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 67 6 0 16 Jun 2024
Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts Isanka Rajapaksha Chanika Ruchini Mudalige Dilini Karunarathna Nisansa de Silva Gathika Ratnayaka A. Perera AILaw 11 12 0 11 Nov 2020
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning V. Gamage M. Warushavithana Nisansa de Silva A. Perera Gathika Ratnayaka T. Rupasinghe AILaw 21 17 0 03 Oct 2018
Legal Document Retrieval using Document Vector Embeddings and Deep Learning Keet Sugathadasa Buddhi Ayesha Nisansa de Silva A. Perera Vindula Jayawardana Dimuthu Lakmal M. Perera AILaw 27 78 0 27 May 2018
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings Vindula Jayawardana Dimuthu Lakmal Nisansa de Silva A. Perera Keet Sugathadasa Buddhi Ayesha M. Perera 27 24 0 09 Sep 2017
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity Keet Sugathadasa Buddhi Ayesha Nisansa de Silva A. Perera Vindula Jayawardana Dimuthu Lakmal M. Perera 44 61 0 06 Jun 2017