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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 Page: 1 2 3 Hits 1 – 20 of 46 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 Semantic shift in social networks ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Fernández, Raquel; Larsson, Staffan. - : Underline Science Inc., 2021 BASE Show details 4 Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations ... Sinclair, Arabella; Jumelet, Jaap; Zuidema, Willem. - : arXiv, 2021 BASE Show details 5 Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts ... Takmaz, Ece; Giulianelli, Mario; Pezzelle, Sandro; Sinclair, Arabella; Fernández, Raquel. - : arXiv, 2020 Abstract: Dialogue participants often refer to entities or situations repeatedly within a conversation, which contributes to its cohesiveness. Subsequent references exploit the common ground accumulated by the interlocutors and hence have several interesting properties, namely, they tend to be shorter and reuse expressions that were effective in previous mentions. In this paper, we tackle the generation of first and subsequent references in visually grounded dialogue. We propose a generation model that produces referring utterances grounded in both the visual and the conversational context. To assess the referring effectiveness of its output, we also implement a reference resolution system. Our experiments and analyses show that the model produces better, more effective referring utterances than a model not grounded in the dialogue context, and generates subsequent references that exhibit linguistic patterns akin to humans. ... : In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2011.04554 https://arxiv.org/abs/2011.04554 BASE Hide details 6 Words are the Window to the Soul: Language-based User Representations for Fake News Detection ... The 28th International Conference on Computational Linguistics 2020; Del Tredici, Marco; Fernández, Raquel. - : Underline Science Inc., 2020 BASE Show details 7 Analysing Lexical Semantic Change with Contextualised Word Representations ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : arXiv, 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 DUPS: Diachronic Usage Pair Similarity ... Giulianelli, Mario; Del Tredici, Marco; Fernández, Raquel. - : Zenodo, 2020 BASE Show details 11 Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping Cathcart, Chundra; Rama, Taraka In: Cathcart, Chundra; Rama, Taraka (2020). Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping. In: Fernández, Raquel; Linzen, Tal. Proceedings of the 24th Conference on Computational Natural Language Learning. Online: Association for Computational Linguistics, 620-630. (2020) BASE Show details 12 Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network. Dhir, Neil; Bannard, Colin J; Stafford, Tom. - : Association for Computational Linguistics, 2020 BASE Show details 13 Evaluating the Representational Hub of Language and Vision Models ... Shekhar, Ravi; Takmaz, Ece; Fernández, Raquel. - : arXiv, 2019 BASE Show details 14 Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts ... Pezzelle, Sandro; Fernández, Raquel. - : arXiv, 2019 BASE Show details 15 MALeViC: Modeling Adjectives Leveraging Visual Contexts ... Pezzelle, Sandro; Fernández, Raquel. - : Zenodo, 2019 BASE Show details 16 MALeViC: Modeling Adjectives Leveraging Visual Contexts ... Pezzelle, Sandro; Fernández, Raquel. - : Zenodo, 2019 BASE Show details 17 You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ... Del Tredici, Marco; Marcheggiani, Diego; Walde, Sabine Schulte im. - : arXiv, 2019 BASE Show details 18 Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ... Greco, Claudio; Plank, Barbara; Fernández, Raquel. - : arXiv, 2019 BASE Show details 19 La adquisición del lenguaje de tres a seis años y sus posibles trastornos López Fernández, Raquel. - 2019 BASE Show details 20 Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ... Shekhar, Ravi; Venkatesh, Aashish; Baumgärtner, Tim. - : arXiv, 2018 BASE Show details Page: 1 2 3

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