Nora Kassner

According to our database1, Nora Kassner authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Multilingual End to End Entity Linking.
CoRR, 2023

Language Models with Rationality.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.
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.
CoRR, 2022

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Erratum: Measuring and Improving Consistency in Pretrained Language Models.
Trans. Assoc. Comput. Linguistics, 2021

Measuring and Improving Consistency in Pretrained Language Models.
Trans. Assoc. Comput. Linguistics, 2021

Enriching a Model's Notion of Belief using a Persistent Memory.
CoRR, 2021

Static Embeddings as Efficient Knowledge Bases?
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.
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.
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?
CoRR, 2020

Dirichlet-Smoothed Word Embeddings for Low-Resource Settings.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Are Pretrained Language Models Symbolic Reasoners over Knowledge?
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Negated LAMA: Birds cannot fly.
CoRR, 2019


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