Vid Kocijan

According to our database, Vid Kocijan authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.

Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey

CoRR, 2024

Pre-training and diagnosing knowledge base completion models.

Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz

Artif. Intell., 2024

The Defeat of the Winograd Schema Challenge (Abstract Reprint).

Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The defeat of the Winograd Schema Challenge.

Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern

Artif. Intell., December, 2023

Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.

Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup.

Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations.

Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu

CoRR, 2021

Knowledge Base Completion Meets Transfer Learning.

Vid Kocijan, Thomas Lukasiewicz

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets.

Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Review of Winograd Schema Challenge Datasets and Approaches.

Vid Kocijan, Thomas Lukasiewicz, Ernest Davis, Gary Marcus, Leora Morgenstern

CoRR, 2020

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution.

Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction.

Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.

Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Surprisingly Robust Trick for the Winograd Schema Challenge.

Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019