Papers by Marieke van Erp
Re-evaluating the Tomes for the Times (2024.lrec-main)
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| Challenge: | Literature is to some degree a snapshot of the time it was written and the societal attitudes of the period. |
| Approach: | They exploit known text co-occurrence metrics to identify problematic descriptors . they propose a method for making explicit such problematic associations . |
| Outcome: | The proposed method could be used by publishing houses, libraries and organisations concerned with social justice to make explicit such problematic associations. |
Comparing Annotated Datasets for Named Entity Recognition in English Literature (2022.lrec-1)
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| Challenge: | Generally speaking, the majority of NER tools struggle to perform well when the entities in the text contain specific characteristics. |
| Approach: | They analysed two existing annotated datasets and two additional gold standard datasets to evaluate the performance of two NER tools. |
| Outcome: | The results show that the performance of two NER tools varies significantly depending on the gold standard used for the individual evaluations. |
Towards Entity Spaces (2020.lrec-1)
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| Challenge: | Entities are a central element of knowledge bases and are used in many knowledge-centric tasks including text analysis. |
| Approach: | They propose to use entity spaces to represent a set of associated entities with near-identity to provide a handle to an amorphous grouping of entities. |
| Outcome: | The proposed representations improve recall of entity linking in English by using disambiguation pages. |
Tracking Textual Similarities in Neo-Latin Drama Networks (2022.lrec-1)
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| Challenge: | a wide international network of exchanges between writers of different nationalities is characteristic of the early Modern Era. |
| Approach: | They describe the first experiments to track the inter-national network of text reuse within the Early Modern community of Neo-Latin humanists. |
| Outcome: | The results show that the early Modern writers and writers are part of a wider, universal, intellectual community. |
It’s All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models (2026.eacl-long)
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| Challenge: | Existing approaches to EL for historical texts require substantial training data or rely on domain-specific rules that limit scalability. |
| Approach: | They propose an unsupervised ensemble approach combining a Small Language Model and an LLM for historical EL. |
| Outcome: | The proposed approach outperforms state-of-the-art models on four established benchmarks in six European languages from the 19th and 20th centuries. |