Inducing Conceptual Embedding Spaces from Wikipedia-Reference-Cited by-同舟云学术

Inducing Conceptual Embedding Spaces from Wikipedia

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
language:
Short-container-title:

Author:

de Melo Gerard¹

Affiliation:

1. Rutgers University, New Brunswick, NJ, USA

Publisher

ACM Press

Reference46 articles.

1. M. Baroni, G. Dinu, and G. Kruszewski. Don't count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 238--247, Baltimore, Maryland, June 2014. Association for Computational Linguistics.

2. A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, and O. Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems 26, pages 2787--2795. 2013.

3. J. Camacho-Collados, M. T. Pilehvar, and R. Navigli. A unified multilingual semantic representation of concepts. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, pages 741--751. The Association for Computer Linguistics, 2015.

4. S. Chandar A P, S. Lauly, H. Larochelle, M. Khapra, B. Ravindran, V. C. Raykar,and A. Saha. An autoencoder approach to learning bilingual word representations. In Proceedings of NIPS 2014, pages 1853--1861. Curran Associates, Inc., 2014.

5. J. Chen and G. de Melo. Semantic information extraction for improved word embeddings. In Proceedings of the NAACL Workshop on Vector Space Modeling for NLP, 2015.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Attention and Cost-Sensitive Graph Neural Network for Imbalanced Node Classification;2022 IEEE International Conference on Networking, Sensing and Control (ICNSC);2022-12-15

2. Network Embedding With Completely-Imbalanced Labels;IEEE Transactions on Knowledge and Data Engineering;2021-11-01

3. Cross-lingual Language Model Pretraining for Retrieval;Proceedings of the Web Conference 2021;2021-04-19

4. Public opinion matters;ACM SIGWEB Newsletter;2020-02-13

5. Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review;Sensors;2019-04-13