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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 4 5...108 Hits 1 – 20 of 2.150 1 Finding the best way to put media bias research into practice via an annotation app ... Hornung, Tilman. - : Open Science Framework, 2022 BASE Show details 2 Are neural language models sensitive to false belief? A computational study. ... Trott, Sean. - : Open Science Framework, 2022 BASE Show details 3 Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ... Wei, Megan. - : Open Science Framework, 2022 BASE Show details 4 Similarity between person roles in a card sorting experiment ... Maldonado, Mora. - : Open Science Framework, 2022 BASE Show details 5 Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ... Lenti, Jacopo; Ruffo, Giancarlo. - : arXiv, 2022 BASE Show details 6 The Mnemosyne Number and the Rheology of Remembrance ... Jamali, Safa; McKinley, Gareth H.. - : arXiv, 2022 BASE Show details 7 Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models ... Rahman, R. M. Abdel; El-Bakry, Mahmoud Y.; Habashy, D. M.. - : arXiv, 2022 BASE Show details 8 Computing Entailments Online, ver. 5 ... Dąbkowski, Maksymilian. - : Open Science Framework, 2022 BASE Show details 9 Computing Entailments Online, ver. 6 ... Dąbkowski, Maksymilian. - : Open Science Framework, 2022 BASE Show details 10 Can distributional semantics explain performance on the false belief task? ... Trott, Sean. - : Open Science Framework, 2022 BASE Show details 11 Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ... 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; ., Giovanna Maria Dora; Bhattacharya, Rohit. - : Underline Science Inc., 2022 BASE Show details 12 Towards a Semantic Information Theory (Introducing Quantum Corollas) ... Tetlow, Philip; Garg, Dinesh; Chase, Leigh. - : arXiv, 2022 BASE Show details 13 Taking models seriously and being a linguistic realist ... Arroyo, Raoni Wohnrath; da Silva, Gilson Olegario. - : arXiv, 2022 BASE Show details 14 Snooker Statistics and Zipf's Law ... Hordijk, Wim. - : arXiv, 2022 BASE Show details 15 Stability and evolution of synonyms and homonyms in signaling game ... Lipowski, Dorota; Lipowski, Adam. - : arXiv, 2022 BASE Show details 16 Cauchy's Logico-Linguistic Slip, the Heisenberg Uncertainty Principle and a Semantic Dilemma Concerning "Quantum Gravity" ... Majhi, Abhishek. - : arXiv, 2022 BASE Show details 17 Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ... 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; Mamidi, Radhika; Pant, Kartikey. - : Underline Science Inc., 2022 BASE Show details 18 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... 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; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.145 Abstract: NLP has a rich history of representing our prior understanding of language in the form of graphs. Recent work on analyzing contextualized text representations has focused on hand-designed probe models to understand how and to what extent do these representations encode a particular linguistic phenomenon. However, due to the inter-dependence of various phenomena and randomness of training probe models, detecting how these representations encode the rich information in these linguistic graphs remains a challenging problem. In this paper, we propose a new information-theoretic probe, Bird's Eye, which is a fairly simple probe method for detecting if and how these representations encode the information in these linguistic graphs. Instead of using model performance, our probe takes an information-theoretic view of probing and estimates the mutual information between the linguistic graph embedded in a continuous space and the contextualized word ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25458-birds-eye-probing-for-linguistic-graph-structures-with-a-simple-information-theoretic-approach https://dx.doi.org/10.48448/fc73-tp18 BASE Hide details 19 Learning grammar with a divide-and-concur neural network ... Deyo, Sean; Elser, Veit. - : arXiv, 2022 BASE Show details 20 Realistic motion avatars are the future for social interaction in virtual reality Rogers, Shane L.; Broadbent, Rebecca; Brown, Jemma... In: Research outputs 2022 to 2026 (2022) BASE Show details Page: 1 2 3 4 5...108

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