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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...11 Hits 1 – 20 of 208 1 ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ... Aupetit, Michael; Ali, Ahmed. - : arXiv, 2022 BASE Show details 2 Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ... Lee, Keon-Woo; Lee, Dae-Hyeok; Kim, Sung-Jin. - : arXiv, 2022 BASE Show details 3 TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials ... Sanalohit, Jinnavat; Katanyukul, Tatpong. - : arXiv, 2022 BASE Show details 4 A Feasibility Study of Answer-Agnostic Question Generation for Education ... Dugan, Liam; Miltsakaki, Eleni; Upadhyay, Shriyash. - : arXiv, 2022 BASE Show details 5 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo. - : arXiv, 2022 BASE Show details 6 Reproducible Subjective Evaluation ... Morrison, Max; Tang, Brian; Tan, Gefei. - : arXiv, 2022 BASE Show details 7 Captivate! Contextual Language Guidance for Parent-Child Interaction ... Kwon, Taeahn; Jeong, Minkyung; Ko, Eon-Suk. - : arXiv, 2022 BASE Show details 8 Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem ... Zhang, Qiang; Naradowsky, Jason; Miyao, Yusuke. - : arXiv, 2022 BASE Show details 9 AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review ... Deka, Chinmoy; Shrivastava, Abhishek; Nautiyal, Saurabh. - : arXiv, 2022 BASE Show details 10 Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ... Liu, Tingting; Giorgi, Salvatore; Tao, Xiangyu. - : arXiv, 2022 BASE Show details 11 Multi-Mosaics: Corpus Summarizing and Exploration using multiple Concordance Mosaic Visualisations ... Sheehan, Shane; Luz, Saturnino; Masoodian, Masood. - : arXiv, 2022 BASE Show details 12 Wavebender GAN: An architecture for phonetically meaningful speech manipulation ... Beck, Gustavo Teodoro Döhler; Wennberg, Ulme; Malisz, Zofia. - : arXiv, 2022 BASE Show details 13 Towards a Sociolinguistics-Based Framework for the Study of Politeness in Human-Computer Interaction ... Bar-Or, Ella; Regev, Tom; Shaviv, Paz. - : arXiv, 2022 BASE Show details 14 Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction ... Rehman, Abdul; Liu, Zhen-Tao; Wu, Min. - : arXiv, 2022 BASE Show details 15 A Short Introduction to Information-Theoretic Cost-Benefit Analysis ... Chen, Min. - : arXiv, 2021 BASE Show details 16 Learning Activities in Colours and Rainbows for Programming Skill Development ... Roberts, Jonathan C.. - : arXiv, 2021 BASE Show details 17 Black Feminist Musings on Algorithmic Oppression ... Hampton, Lelia Marie. - : arXiv, 2021 BASE Show details 18 Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ... Sap, Maarten; Swayamdipta, Swabha; Vianna, Laura; Zhou, Xuhui; Choi, Yejin; Smith, Noah A.. - : arXiv, 2021 Abstract: The perceived toxicity of language can vary based on someone's identity and beliefs, but this variation is often ignored when collecting toxic language datasets, resulting in dataset and model biases. We seek to understand the who, why, and what behind biases in toxicity annotations. In two online studies with demographically and politically diverse participants, we investigate the effect of annotator identities (who) and beliefs (why), drawing from social psychology research about hate speech, free speech, racist beliefs, political leaning, and more. We disentangle what is annotated as toxic by considering posts with three characteristics: anti-Black language, African American English (AAE) dialect, and vulgarity. Our results show strong associations between annotator identity and beliefs and their ratings of toxicity. Notably, more conservative annotators and those who scored highly on our scale for racist beliefs were less likely to rate anti-Black language as toxic, but more likely to rate AAE as toxic. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Human-Computer Interaction cs.HC URL: https://arxiv.org/abs/2111.07997 https://dx.doi.org/10.48550/arxiv.2111.07997 BASE Hide details 19 Designing Building Blocks for Open-Ended Early Literacy Software ... Sysoev, Ivan; Gray, James H.; Fine, Susan. - : arXiv, 2021 BASE Show details 20 Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators ... Sohail, Shahab Saquib; Siddiqui, Jamshed; Ali, Rashid. - : arXiv, 2021 BASE Show details Page: 1 2 3 4 5...11

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