From post

Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction.

, , , и . AICS, том 2086 из CEUR Workshop Proceedings, стр. 206-218. CEUR-WS.org, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction., , , и . WWW, стр. 441-451. ACM / IW3C2, (2020)Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs., , , и . SGAI Conf., том 12498 из Lecture Notes in Computer Science, стр. 35-48. Springer, (2020)MARF: User-Item Mutual Aware Representation with Feedback., , , , , , , и . ICWE, том 13362 из Lecture Notes in Computer Science, стр. 3-15. Springer, (2022)Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis., , , , , и . ACL/IJCNLP (1), стр. 306-316. Association for Computational Linguistics, (2021)From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews., и . UMAP, стр. 309-310. ACM, (2016)Further Experiments in Opinionated Product Recommendation., , и . ICCBR, том 8765 из Lecture Notes in Computer Science, стр. 110-124. Springer, (2014)Deep convolutional neural network for automatic fault recognition from 3D seismic datasets., , , , , и . Comput. Geosci., (2021)An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People., , , , и . Sensors, 20 (15): 4192 (2020)Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews., , и . WWW, стр. 773-782. ACM, (2018)Why I Like It: Multi-task Learning for Recommendation and Explanation, , и . Proceedings of the 12th ACM Conference on Recommender Systems, стр. 4--12. New York, NY, USA, ACM, (2018)