5 datasets found

Tags: word sense disambiguation

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  • TWSI

    The dataset used for learning word sense embeddings, consisting of a crowdsourced collection of sense-labeled contexts and a SemEval dataset.

  • EvoNLP Shared Task

    The dataset consists of 1428 training samples and 396 validation samples. The dataset is used for word sense disambiguation task.

  • SemEval datasets

    The dataset used in the paper is the SemEval-2, SemEval-3, SemEval'07, SemEval'13, and SemEval'15 datasets, which contain manually annotated word sense groups.

  • SemCor dataset

    The dataset used in the paper is the SemCor dataset, which contains manually annotated word sense groups.

  • WordNet

    This paper uses a large text corpus to extract subjects and objects of verbs and represents them as abstract concepts.