Vid Kocijan : Publications

Pre−training and Diagnosing Knowledge Base Completion Models

Vid Kocijan‚ Myeongjun Jang and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 329. No. 104081. April, 2024.

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Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns

Zhongbin Xie‚ Vid Kocijan‚ Thomas Lukasiewicz and Oana−Maria Camburu

In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics‚ EACL 2023‚ Dubrovnik‚ Croatia‚ 2–6 May 2023. Pages 3761–3773. Association for Computational Linguistics. May, 2023.

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The Defeat of the Winograd Schema Challenge

Vid Kocijan‚ Ernest Davis‚ Thomas Lukasiewicz‚ Gary Marcus and Leora Morgenstern

In Artificial Intelligence. Vol. 325. No. 103971. December, 2023.

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

Yordan Yordanov‚ Vid Kocijan‚ Thomas Lukasiewicz and Oana−Maria Camburu

In Findings of EMNLP 2022. Pages 3486–3501. Association for Computational Linguistics. December, 2022.

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Knowledge Base Completion Meets Transfer Learning

Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2021‚ Online and in the Barceló Bávaro Convention Centre‚ Punta Cana‚ Dominican Republic‚ November 7–11‚ 2021. November, 2021.

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

Vid Kocijan‚ Oana−Maria Camburu and Thomas Lukasiewicz

In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

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Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution

Yordan Yordanov‚ Oana−Maria Camburu‚ Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 4963–4969. Association for Computational Linguistics. November, 2020.

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

Patrick Hohenecker‚ Frank Mtumbuka‚ Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 8554–8565. Association for Computational Linguistics. November, 2020.

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A Surprisingly Robust Trick for the Winograd Schema Challenge

Vid Kocijan‚ Ana−Maria Cretu‚ Oana−Maria Camburu‚ Yordan Yordanov and Thomas Lukasiewicz

In Anna Korhonen and David Traum, editors, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics‚ ACL 2019‚ Florence‚ Italy‚ July 28 − August 2‚ 2019. Association for Computational Linguistics. July, 2019.

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WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution

Vid Kocijan‚ Oana−Maria Camburu‚ Ana−Maria Cretu‚ Yordan Yordanov‚ Phil Blunsom and Thomas Lukasiewicz

In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing‚ EMNLP−IJCNLP 2019‚ Hong Kong‚ China‚ November 3–7‚ 2019. November, 2019.

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