6 datasets found

Groups: 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-Based Information Retrieval Using Common Hypernyms and Combined Features

    Text search based on lexical matching of keywords is not satisfactory due to polysemous and synonymous words. Semantic search that exploits word meanings improves search...

  • WordNet

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