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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing Hall Maudslay, Rowan; Cotterell, Ryan In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021) BASE Show details 2 Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing ... Hall Maudslay, Rowan; Cotterell, Ryan. - : ETH Zurich, 2021 BASE Show details 3 Speakers Fill Lexical Semantic Gaps with Context Blasi, Damián; Hall Maudslay, Rowan; Cotterell, Ryan; Pimentel, Tiago In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) Abstract: Lexical ambiguity is widespread in language, allowing for the reuse of economical word forms and therefore making language more efficient. If ambiguous words cannot be disambiguated from context, however, this gain in efficiency might make language less clear—resulting in frequent miscommunication. For a language to be clear and efficiently encoded, we posit that the lexical ambiguity of a word type should correlate with how much information context provides about it, on average. To investigate whether this is the case, we operationalise the lexical ambiguity of a word as the entropy of meanings it can take, and provide two ways to estimate this—one which requires human annotation (using WordNet), and one which does not (using BERT), making it readily applicable to a large number of languages. We validate these measures by showing that, on six high-resource languages, there are significant Pearson correlations between our BERT-based estimate of ambiguity and the number of synonyms a word has in WordNet (e.g. 𝜌� = 0.40 in English). We then test our main hypothesis—that a word’s lexical ambiguity should negatively correlate with its contextual uncertainty—and find significant correlations on all 18 typologically diverse languages we analyse. This suggests that, in the presence of ambiguity, speakers compensate by making contexts more informative. URL: https://hdl.handle.net/20.500.11850/462320 https://doi.org/10.3929/ethz-b-000462320 BASE Hide details 4 A Tale of a Probe and a Parser Valvoda, Josef; Hall Maudslay, Rowan; Williams, Adina... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 5 A Tale of a Probe and a Parser ... Hall Maudslay, Rowan; Valvoda, Josef; Pimentel, Tiago. - : ETH Zurich, 2020 BASE Show details

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