Papers by Alexander Henlein
On the Influence of Coreference Resolution on Word Embeddings in Lexical-semantic Evaluation Tasks (2020.lrec-1)
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| Challenge: | Existing word embeddings rely on local information delimited by context windows or dependency parents to predict word relations. |
| Approach: | They propose to use coreference resolution to find all spans of a text that refer to the same entity to improve the F1-Scores. |
| Outcome: | The proposed methods do not benefit significantly from pronoun substitution. |
What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured (2022.naacl-main)
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| Challenge: | Recent research reveals that transformer-based models are biased towards extracting knowledge about object relations. |
| Approach: | They propose to use transformer-based models to extract knowledge about object relations to investigate whether they can be used to extract object relations. |
| Outcome: | The proposed models outperform static models in many respects and perform much worse than similarity measures and classifiers. |