2020 · 26 citations · 19 references
ComputingComputer ScienceEnglishComputational LinguisticsInformation RetrievalNatural Language ProcessingLanguage ModelingMachine TranslationSemantic NetworksText Similarity AnalysisWord EmbeddingsWord Sense DisambiguationContextual Word EmbeddingsContextual Word PredictionContextual Word RepresentationDataset CurationDataset DescriptionsSemantic SimilaritySense EmbeddingsTransformer Models
This paper presents the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish. We received 15 submissions and 11 system description papers. A new dataset (CoSimLex) was created for evaluation in this task: it contains pairs of words, each annotated within two short text passages. Systems beat the baselines by significant margins, but few did well in more than one language or subtask. Almost every system employed a Transformer model, but with many variations in the details: WordNet sense embeddings, translation of contexts, TF-IDF weightings, and the automatic creation of datasets for fine-tuning were all used to good effect.
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George A. Miller · Communications of the ACM · 1995 · 14.1K citations · Full text
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang et al. · 2019 · 3.1K citations · Full text