Papers
2,383 papers found
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness
Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Nishat Raihan et al.
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
Udvas Basak, Rajarshi Dutta, Shivam Pandey et al.
HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR)
Mengyao Piao, Su Chang, Yuang Li et al.
UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity
Ning Shi, Senyu Li, Guoqing Luo et al.
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness
Shijia Zhou, Huangyan Shan, Barbara Plank et al.
NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages
Senthil Kumar B, Aravindan Chandrabose, Gokulakrishnan B et al.
SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla et al.
Subordinate class recognition using relational object models
Aharon B. Hillel, Daphna Weinshall
Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka et al.
Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani et al.
Convex Relaxations of Latent Variable Training
Yuhong Guo, Dale Schuurmans
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin, Rahul Sukthankar
Relative Margin Machines
Tony Jebara, Pannagadatta K. Shivaswamy
Using matrices to model symbolic relationship
Ilya Sutskever, Geoffrey E. Hinton
Directed Regression
Yi-hao Kao, Benjamin V. Roy, Xiang Yan
Lattice Regression
Eric Garcia, Maya Gupta
Modelling Relational Data using Bayesian Clustered Tensor Factorization
Ilya Sutskever, Joshua B. Tenenbaum, Ruslan Salakhutdinov
Probabilistic Relational PCA
Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz, Alyosha Efros
Abstraction and Relational learning
Charles Kemp, Alan Jern
Variational Inference for the Nested Chinese Restaurant Process
Chong Wang, David M. Blei