Papers by Leo Born

2 papers
Dataset Reproducibility and IR Methods in Timeline Summarization (2020.lrec-1)

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Challenge: Timeline summarization (TLS) generates a dated overview of real-world events based on event-specific corpora.
Approach: They propose to use IR methods to construct event-specific corpora from a newsroom dataset . they advocate for integrating IR into the development of TLS systems .
Outcome: The proposed method is not reproducible at different search times and uses components that are not always available for large news corpus.
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection (P19-1)

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Challenge: Existing methods to evaluate maximum spans tangle coreference evaluation with mention boundary detection . however, this method is costly and does not scale to large corpora.
Approach: They propose an algorithm for automatically extracting minimum spans to benefit from minimum span evaluation in all corpora.
Outcome: The proposed algorithm is consistent with those manually annotated by experts.

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