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1	Humor in the midst of Mark : an analysis of incongruity in Mark 4:35–6:6.
	Carman, Jon-Michael, 1984-. - 2022
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2	Objects That Object, Subjects That Subvert: Agency in Exeter Book Riddle 5
	Jonathan Wilcox
	In: Humanities; Volume 11; Issue 2; Pages: 33 (2022)
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3	Aspekte der Komik-Analyse: Wie entsteht Sprachkomik? ... : Aspects of Comedy Analysis: How Does Verbal Comedy Come About? ...
	Eisenberg, Benjamin. - : DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany, 2022
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4	Cognitive and affective aspects of verbal humor: a visual-world eye-tracking study
	Israel, Laura; Konieczny, Lars; Ferstl, Evelyn C.
	In: Frontiers in communication. - 6 (2022) , 758173, ISSN: 2297-900X (2022)
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5	THE FUNCTIONS OF HUMOROUS DISCOURSE IN MIND YOUR LANGUAGE
	Romadlani, Muhammad Masqotul Imam; Wijana, I Dewa Putu
	In: LiNGUA: Jurnal Ilmu Bahasa dan Sastra; Vol 16, No 2 (2021): LiNGUA; 187 - 198 ; 2442-3823 ; 1693-4725 (2022)
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6	Negerküsse in Zigeunersoße : mit der Sprachpolente auf Patrouille ; eine Streitschrift
	Bernreuther, Werner (Illustrator); Kalka, Dieter. - Halblech : Edition Beulenspiegel im AndreBuchVerlag, 2021
	BLLDB
	UB Frankfurt Linguistik
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7	Using Pop-Culture to Engage Students in the Classroom
	Dietrich, Nicolas; Jimenez, Mélanie; Souto, Manuel...
	In: ISSN: 0021-9584 ; Journal of Chemical Education ; https://hal.archives-ouvertes.fr/hal-03125040 ; Journal of Chemical Education, American Chemical Society, Division of Chemical Education, In press, ⟨10.1021/acs.jchemed.0c00233⟩ (2021)
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8	Identifying Speaker State from Multimodal Cues
	Yang, Zixiaofan. - 2021
	Abstract: Automatic identification of speaker state is essential for spoken language understanding, with broad potential in various real-world applications. However, most existing work has focused on recognizing a limited set of emotional states using cues from a single modality. This thesis describes my research that addresses these limitations and challenges associated with speaker state identification by studying a wide range of speaker states, including emotion and sentiment, humor, and charisma, using features from speech, text, and visual modalities. The first part of this thesis focuses on emotion and sentiment recognition in speech. Emotion and sentiment recognition is one of the most studied topics in speaker state identification and has gained increasing attention in speech research recently, with extensive emotional speech models and datasets published every year. However, most work focuses only on recognizing a set of discrete emotions in high-resource languages such as English, while in real-life conversations, emotion is changing continuously and exists in all spoken languages. To address the mismatch, we propose a deep neural network model to recognize continuous emotion by combining inputs from raw waveform signals and spectrograms. Experimental results on two datasets show that the proposed model achieves state-of-the-art results by exploiting both waveforms and spectrograms as input. Due to the higher number of existing textual sentiment models than speech models in low-resource languages, we also propose a method to bootstrap sentiment labels from text transcripts and use these labels to train a sentiment classifier in speech. Utilizing the speaker state information shared across modalities, we extend speech sentiment recognition from high-resource languages to low-resource languages. Moreover, using the natural verse-level alignment in the audio Bibles across different languages, we also explore cross-lingual and cross-modality sentiment transfer. In the second part of the thesis, we focus on recognizing humor, whose expression is related to emotion and sentiment but has very different characteristics. Unlike emotion and sentiment that can be identified by crowdsourced annotators, humorous expressions are highly individualistic and cultural-specific, making it hard to obtain reliable labels. This results in the lack of data annotated for humor, and thus we propose two different methods to automatically and reliably label humor. First, we develop a framework for generating humor labels on videos, by learning from extensive user-generated comments. We collect and analyze 100 videos, building multimodal humor detection models using speech, text, and visual features, which achieves an F1-score of 0.76. In addition to humorous videos, we also develop another framework for generating humor labels on social media posts, by learning from user reactions to Facebook posts. We collect 785K posts with humor and non-humor scores and build models to detect humor with performance comparable to human labelers. The third part of the thesis focuses on charisma, a commonly found but less studied speaker state with unique challenges -- the definition of charisma varies a lot among perceivers, and the perception of charisma also varies with speakers' and perceivers' different demographic backgrounds. To better understand charisma, we conduct the first gender-balanced study of charismatic speech, including speakers and raters from diverse backgrounds. We collect personality and demographic information from the rater as well as their own speech, and examine individual differences in the perception and production of charismatic speech. We also extend the work to politicians' speech by collecting speaker trait ratings on representative speech segments of politicians and study how the genre, gender, and the rater's political stance influence the charisma ratings of the segments.
	Keyword: Automatic speech recognition--Research; Computer science; Emotions; Facebook (Firm); Humor; Speech perception--Mathematical models
	URL: https://doi.org/10.7916/d8-nbyk-rq75
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9	Humor, creativity and lexical creation ; Humour, créativité et création lexicale
	Brisset, Frédérique; BORDET, Lucile. - : HAL CCSD, 2021. : Université Jean-Moulin-Lyon III - Centre d’Études Linguistiques (CEL), 2021
	In: ISSN: 1951-6215 ; EISSN: 1951-6215 ; Lexis. Journal in English Lexicology ; https://hal.archives-ouvertes.fr/hal-02994959 ; Centre d’Études Linguistiques (Linguistics Research Center) University of Lyon. Lexis. Journal in English Lexicology, 2021, Humor, creativity and lexical creation, 1951-6215. ⟨10.4000/lexis.5585⟩ ; https://journals.openedition.org/lexis/3602 (2021)
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10	Le ḥassāniyya et la variation diglossique à travers WhatsApp : la Mauritanie à l'heure du Covid-19
	Taine-Cheikh, Catherine
	In: ISSN: 0165-2516 ; EISSN: 1613-3668 ; International Journal of the Sociology of Language ; https://hal.archives-ouvertes.fr/hal-03498147 ; International Journal of the Sociology of Language, De Gruyter, A paraître (2021)
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11	ТРАДИЦИИ АШУГСКОЙ ПОЭЗИИ В ТВОРЧЕСТВЕ ХАЗАРЧИ ГАДЖИЕВА ... : TRADITIONS OF ASHUGH POETRY IN THE WORKS OF KHAZARCHI GADZHIEV ...
	Джамалов, К.Э.. - : ИП Соколова М.В., 2021
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12	Julio Cortázar ...
	Fatiha IDMHAND; indeterminado. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2021
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13	SATIRICAL AND HUMOROUS MOTIFS IN THE STORIES OF O. HENRY ...
	Bekeeva, A.. - : Sciences of Europe, 2021
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14	"Como é óbvio, só um linguista nos pode ajudar”: ; crítica política com humor, entre gramática & texto
	Teixeira, Carla; Oliveira, Teresa. - : NOVA FCSH - CLUNL, 2021
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15	Media literacy of humor in times of pandemic ; Assessing the comprehension of texts by first-year college students
	Oliveira, Teresa; Teixeira, Carla. - : Instituto Politécnico de Portalegre (IPP), 2021
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16	Humor e ensino de português língua estrangeira em contexto multicultural ; Humor and teaching of Portuguese as a foreign language in a multicultural environment
	Duarte Martins, Susana. - 2021
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17	Identifying Speaker State from Multimodal Cues ...
	Yang, Zixiaofan. - : Columbia University, 2021
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18	A Study on Instructional Humor: How Much Humor Is Used in Presentations?
	Vera Paola Shoda; Toshimasa Yamanaka
	In: Behavioral Sciences; Volume 12; Issue 1; Pages: 7 (2021)
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19	Effect of Mood on Humor
	Randall, Virginia
	In: Senior Honors Theses (2021)
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20	Personajes del chiste étnico postsocialista y pospostsocialista en lengua rusa: elección, tradición y evolución
	Castañar Rubio, Guillem. - : Universitat de Barcelona, 2021
	In: TDX (Tesis Doctorals en Xarxa) (2021)
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