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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...8 Hits 1 – 20 of 147 1 Innovation From Above, Below, and Behind: The Linguistics of the Hebrew Revival Porath, Aviv J In: Senior Projects Spring 2021 (2021) BASE Show details 2 Queerness in Translation: Women’s Homoerotics and Gender Play in pre- and post-Revolutionary Iran Rahmani, Mariam. - : eScholarship, University of California, 2021 BASE Show details 3 “Sons of Shem:” Visions for Jewish-Arab Integration and Semitism in the Second Aliyah (1904-1914) ... Mark, Maytal. - : Digital Repository at the University of Maryland, 2021 BASE Show details 4 Cross-Genre, Cross-Lingual, and Low-Resource Emotion Classification Tafreshi, Shabnam. - : The George Washington University, 2021 Abstract: Emotions can be defined as a natural, instinctive state of mind arising from one’s circumstances, mood, and relationships with others. It has long been a question to be answered by psychology that how and what is it that humans feel. Enabling computers to recognize human emotions has been an of interest to researchers since 1990s (Picard et al., 1995). Ever since, this area of research has grown significantly and emotion detection is becoming an important component in many natural language processing tasks. Several theories exist for defining emotions and are chosen by researchers according to their needs. For instance, according to appraisal theory, a psychology theory, emotions are produced by our evaluations (appraisals or estimates) of events that cause a specific reaction in different people. Some emotions are easy and universal, while others are complex and nuanced. Emotion classification is generally the process of labeling a piece of text with one or more corresponding emotion labels. Psychologists have developed numerous models and taxonomies of emotions. The model or taxonomy depends on the problem, and thorough study is often required to select the best model. Early studies of emotion classification focused on building computational models to classify basic emotion categories. In recent years, increasing volumes of social media and the digitization of data have opened a new horizon in this area of study, where emotion classification is a key component of applications, including mood and behavioral studies, as well as disaster relief, amongst many other applications. Sophisticated models have been built to detect and classify emotion in text, but few analyze how well a model is able to learn emotion cues. The ability to learn emotion cues properly and be able to generalize this learning is very important. This work investigates the robustness of emotion classification approaches across genres and languages, with a focus on quantifying how well state-of-the-art models are able to learn emotion cues. First, we use multi-task learning and hierarchical models to build emotion models that were trained on data combined from multiple genres. Our hypothesis is that a multi-genre, noisy training environment will help the classifier learn emotion cues that are prevalent across genres. Second, we explore splitting text (i.e. sentence) into its clauses and testing whether the model’s performance improves. Emotion analysis needs fine-grained annotation and clause-level annotation can be beneficial to design features to improve emotion detection performance. Intuitively, clause-level annotations may help the model focus on emotion cues, while ignoring irrelevant portions of the text. Third, we adopted a transfer learning approach for cross-lingual/genre emotion classification to focus the classifier’s attention on emotion cues which are consistent across languages. Fourth, we empirically show how to combine different genres to be able to build robust models that can be used as source models for emotion transfer to low-resource target languages. Finally, this study involved curating and re-annotating popular emotional data sets in different genres, and annotating a multi-genre corpus of Persian tweets and news, and generating a collection of emotional sentences for a low-resource language, Azerbaijani, a language spoken in the north west of Iran. Keyword: Artificial intelligence|Genetics|Linguistics|Design|Language arts|Middle Eastern Studies|Educational psychology URL: http://pqdtopen.proquest.com/#viewpdf?dispub=28088437 BASE Hide details 5 The Crucial Importance of Basket Weaving Technology for the World's First Civilizations ... Doble, Rick. - : figshare, 2021 BASE Show details 6 The Crucial Importance of Basket Weaving Technology for the World's First Civilizations ... Doble, Rick. - : figshare, 2021 BASE Show details 7 The Language of Politics, The Politics of Language: The Political Literature in the Late Ottoman Empire and the Early Turkish Republic ... Bolcakan, Ali. - : My University, 2021 BASE Show details 8 Prophetic Eloquence as Linguistic Precedent: The Philology of Ḥadīth from Sībawayhi to al-Farrāʾ ... Kelly, Tynan Byrne. - : The University of Chicago, 2021 BASE Show details 9 The Shared Intellectual History of Vocalisation in Syriac, Arabic, and Hebrew ... Posegay, Nick. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 10 Palestinian Evangelical Christian Music in Bethlehem, Israel/Palestine Smith, Abby In: Senior Honors Theses (2021) BASE Show details 11 Beyond the Realm of Religion: The Idea of the Secular in Premodern Islam Abbasi, Rushain. - 2021 BASE Show details 12 الوقف على تاء تأنيث الاسم بين اللغة والرواية وخط المصاحف العثمانية ... Abouzeid, Mohamed. - : figshare, 2021 BASE Show details 13 الوقف على تاء تأنيث الاسم بين اللغة والرواية وخط المصاحف العثمانية ... Abouzeid, Mohamed. - : figshare, 2021 BASE Show details 14 الوقف على تاء تأنيث الاسم بين اللغة والرواية وخط المصاحف العثمانية ... Abouzeid, Mohamed. - : figshare, 2021 BASE Show details 15 The Shared Intellectual History of Vocalisation in Syriac, Arabic, and Hebrew Posegay, Nick. - : University of Cambridge, 2021. : Corpus Christi, 2021 BASE Show details 16 “Sons of Shem:” Visions for Jewish-Arab Integration and Semitism in the Second Aliyah (1904-1914) Mark, Maytal. - 2021 BASE Show details 17 Faithful/Traitor: Violence, Nationalism, and Performances of Druze Belonging Pullum, Lindsey Brooke. - : Indiana University, 2020 BASE Show details 18 A Comprehensive Analysis of Coda Clusters in Hijazi Arabic: An Optimality-Theoretic Perspective Bokhari, Hassan Abdulrashed. - : Indiana University, 2020 BASE Show details 19 Investigating Intercultural Sensitivity in Saudi Arabian Women in the United States: Making Sense of Lived Experiences Hertenstein, Kathleen. - : The University of Arizona, 2020 BASE Show details 20 The Vowels of Urban Qatari Arabic Shockley, Mark Daniel. - : The University of North Dakota, 2020 BASE Show details Page: 1 2 3 4 5...8

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