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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 56 1 EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0 Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022 BASE Show details 2 Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2022 BASE Show details 3 Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2022 BASE Show details 4 Ekspress news article archive (in Estonian and Russian) 1.0 Purver, Matthew; Pollak, Senja; Freienthal, Linda. - : Ekspress Meedia Group, 2021 BASE Show details 5 Latvian user comment dataset 1.0 Shekhar, Ravi; Purver, Matthew; Pollak, Senja. - : Ekspress Meedia Group, 2021 BASE Show details 6 24sata news comment dataset 1.0 Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021 BASE Show details 7 24sata news article archive 1.0 Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021 BASE Show details 8 Latvian Delfi article archive (in Latvian and Russian) 1.0 Pollak, Senja; Purver, Matthew; Shekhar, Ravi. - : Ekspress Meedia Group, 2021 BASE Show details 9 Evaluation of contextual embeddings on less-resourced languages ... Ulčar, Matej; Žagar, Aleš; Armendariz, Carlos S.. - : arXiv, 2021 BASE Show details 10 A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis ... Gkoumas, Dimitris; Wang, Bo; Tsakalidis, Adam. - : arXiv, 2021 BASE Show details 11 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : arXiv, 2021 BASE Show details 12 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 13 Not all comments are equal: Insights into comment moderation from a topic-aware model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 14 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 15 Not all comments are equal: Insights into comment moderation from a topic-aware model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 16 Linguistic Creativity III ... International Conference on Computational Creativity 2021; Branch, Boyd; Delobelle, Pieter. - : Underline Science Inc., 2021 BASE Show details 17 Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's Dementia recognition from spontaneous speech ... Rohanian, Morteza; Hough, Julian; Purver, Matthew. - : arXiv, 2021 BASE Show details 18 Towards Robustness of Text-to-SQL Models against Synonym Substitution ... Gan, Yujian; Chen, Xinyun; Huang, Qiuping; Purver, Matthew; Woodward, John R.; Xie, Jinxia; Huang, Pengsheng. - : arXiv, 2021 Abstract: Recently, there has been significant progress in studying neural networks to translate text descriptions into SQL queries. Despite achieving good performance on some public benchmarks, existing text-to-SQL models typically rely on the lexical matching between words in natural language (NL) questions and tokens in table schemas, which may render the models vulnerable to attacks that break the schema linking mechanism. In this work, we investigate the robustness of text-to-SQL models to synonym substitution. In particular, we introduce Spider-Syn, a human-curated dataset based on the Spider benchmark for text-to-SQL translation. NL questions in Spider-Syn are modified from Spider, by replacing their schema-related words with manually selected synonyms that reflect real-world question paraphrases. We observe that the accuracy dramatically drops by eliminating such explicit correspondence between NL questions and table schemas, even if the synonyms are not adversarially selected to conduct worst-case adversarial ... : To appear in ACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2106.01065 https://dx.doi.org/10.48550/arxiv.2106.01065 BASE Hide details 19 Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs ... Rohanian, Morteza; Hough, Julian; Purver, Matthew. - : arXiv, 2021 BASE Show details 20 Investigating cross-lingual training for offensive language detection Pelicon, Andraž; Shekhar, Ravi; Škrlj, Blaž... In: PeerJ Comput Sci (2021) BASE Show details Page: 1 2 3

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