Papers by Maria Vasardani

2 papers
Target Word Masking for Location Metonymy Resolution (2020.coling-main)

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Challenge: Existing word sense disambiguation and named entity recognition systems have no explicit metonymy detection.
Approach: They propose an end-to-end word-level classification approach based only on BERT . they show that their approach generalises well to unseen data .
Outcome: The proposed approach surpasses conventional models and benchmarks on 5 datasets and generalises well to unseen data.
MultiSpanQA: A Dataset for Multi-Span Question Answering (2022.naacl-main)

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Challenge: Existing reading comprehension datasets focus on single-span answers, but multi-spread questions are less studied.
Approach: They propose a new reading comprehension dataset that focuses on multi-span questions . they introduce new metrics for the purposes of multi--spontaneous question answering evaluation .
Outcome: The proposed model beats baselines and achieves state-of-the-art on the existing dataset.

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