Nora Kassner

According to our database, Nora Kassner authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel

CoRR, 2024

2023

Multilingual End to End Entity Linking.

Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda

CoRR, 2023

Language Models with Rationality.

Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings.

Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.

Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg

CoRR, 2022

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing.

Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Erratum: Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Enriching a Model's Notion of Belief using a Persistent Memory.

Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark

CoRR, 2021

Static Embeddings as Efficient Knowledge Bases?

Philipp Dufter, Nora Kassner, Hinrich Schütze

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.

Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark

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

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.

Nora Kassner, Philipp Dufter, Hinrich Schütze

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Language Models As or For Knowledge Bases.

Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

2020

Pre-trained Language Models as Symbolic Reasoners over Knowledge?

Nora Kassner, Benno Krojer, Hinrich Schütze

CoRR, 2020

Dirichlet-Smoothed Word Embeddings for Low-Resource Settings.

Jakob Jungmaier, Nora Kassner, Benjamin Roth

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.

Nora Kassner, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Are Pretrained Language Models Symbolic Reasoners over Knowledge?

Nora Kassner, Benno Krojer, Hinrich Schütze

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly.

Nora Kassner, Hinrich Schütze

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Negated LAMA: Birds cannot fly.

Nora Kassner, Hinrich Schütze

CoRR, 2019