Papers by Shafqat Mumtaz Virk

2 papers
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
Outcome: The proposed corpus is searchable through a couple of well-established corpus infrastructures.
The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change (2024.eacl-demo)

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Challenge: DURel is an open source tool for semantic proximity between word uses.
Approach: They present an open-source tool for the annotation of semantic proximity between word uses.
Outcome: The proposed tool supports standardized human annotation and computational annotation, building on recent advances with Word-in-Context models.

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