Representing Overlaps in Sequence Labeling Tasks with a Novel Tagging Scheme: Bigappy-Unicrossy

Berk, Gözde; Erden, Berna; Güngör, Tunga

doi:10.1007/978-3-031-24337-0_44

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Corpus and Splits1

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2023

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“…Nested MWEs are handled with the gappy 1level scheme developed by Schneider et al (2014) or other variants (i.e. bigappy-unicrossy scheme developed by Berk et al (2019)), however, overlapping MWEs such as the case in Example 2 above are only partially handled by bigappy-unicrossy and not handled by gappy 1-level. Such cases are rare in the corpora, and as such do not greatly impact the data.…”

Section: Corpus and Splitsmentioning

confidence: 99%

A Survey of MWE Identification Experiments: The Devil is in the Details

Ramisch,

Walsh,

Blanchard

et al. 2023

Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023)

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Multiword expression (MWE) identification has been the focus of numerous research papers, especially in the context of the DiMSUM and PARSEME Shared Tasks (STs). This survey analyses 40 MWE identification papers with experiments on data from these STs. We look at corpus selection, pre-and post-processing, MWE encoding, evaluation metrics, statistical significance, and error analyses. We find that these aspects are usually considered minor and/or omitted in the literature. However, they may considerably impact the results and the conclusions drawn from them. Therefore, we advocate for more systematic descriptions of experimental conditions to reduce the risk of misleading conclusions drawn from poorly designed experimental setup.

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Section: Corpus and Splitsmentioning

confidence: 99%