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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 – 11 of 11 1 Is Information Density Uniform in Task-Oriented Dialogues? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fernández, Raquel; Giulianelli, Mario. - : Underline Science Inc., 2021 BASE Show details 2 Analysing Human Strategies of Information Transmission as a Function of Discourse Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fernández, Raquel; Giulianelli, Mario. - : Underline Science Inc., 2021 BASE Show details 3 Grammatical Profiling for Semantic Change Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Giulianelli, Mario; Kutuzov, Andrey. - : Underline Science Inc., 2021 BASE Show details 4 Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts ... Takmaz, Ece; Giulianelli, Mario; Pezzelle, Sandro. - : arXiv, 2020 BASE Show details 5 UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection ... Kutuzov, Andrey; Giulianelli, Mario. - : arXiv, 2020 Abstract: We apply contextualised word embeddings to lexical semantic change detection in the SemEval-2020 Shared Task 1. This paper focuses on Subtask 2, ranking words by the degree of their semantic drift over time. We analyse the performance of two contextualising architectures (BERT and ELMo) and three change detection algorithms. We find that the most effective algorithms rely on the cosine similarity between averaged token embeddings and the pairwise distances between token embeddings. They outperform strong baselines by a large margin (in the post-evaluation phase, we have the best Subtask 2 submission for SemEval-2020 Task 1), but interestingly, the choice of a particular algorithm depends on the distribution of gold scores in the test set. ... : To appear in Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2005.00050 https://arxiv.org/abs/2005.00050 BASE Hide details 6 Analysing Lexical Semantic Change with Contextualised Word Representations ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : arXiv, 2020 BASE Show details 7 DUPS: Diachronic Usage Pair Similarity ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : Zenodo, 2020 BASE Show details 8 DUPS: Diachronic Usage Pair Similarity ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : Zenodo, 2020 BASE Show details 9 DUPS: Diachronic Usage Pair Similarity ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : Zenodo, 2020 BASE Show details 10 Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information ... Giulianelli, Mario; Harding, Jacqueline; Mohnert, Florian. - : arXiv, 2018 BASE Show details 11 Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings ... Giulianelli, Mario. - : arXiv, 2017 BASE Show details

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