Humor Recognition 2017


Notes:

  • Automatic humour recognition
  • Detecting irony
  • Humor classification
  • Humor detection
  • Sarcasm detection

Wikipedia:

References:

See also:

Computational Humor | Sarcasm Recognition


Convolutional Neural Network for Humor Recognition
L Chen, CM Lee – arXiv preprint arXiv:1702.02584, 2017 – arxiv.org
Abstract: For the purpose of automatically evaluating speakers’ humor usage, we build a presentation corpus containing humorous utterances based on TED talks. Compared to previous data resources supporting humor recognition research, ours has several

SemEval-2017 Task 6:# HashtagWars: Learning a sense of humor
P Potash, A Romanov, A Rumshisky – Proceedings of the 11th …, 2017 – aclweb.org
Page 1. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), pages 49–57, Vancouver, Canada, August 3 – 4, 2017. cO2017 Association for Computational Linguistics SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor …

A Pinch of Humor for Short-Text Conversation: an Information Retrieval Approach
V Blinov, K Mishchenko, V Bolotova… – … Conference of the Cross …, 2017 – Springer
… The data creates a solid ground for future research in the field. 2 Related Work. There are two main directions in computational humor research: humor recognition and humor generation. Humor recognition is usually formulated …

Takelab at semeval-2017 task 6:# rankinghumorin4pages
M Kukova?ec, J Malenica, I Mrši?, A Šajatovi?… – Proceedings of the 11th …, 2017 – aclweb.org
… Lei Chen and Chong Min Lee. 2017. Convolu- tional neural network for humor recognition. arXiv preprint arXiv:1702.02584 . Rudolph Flesch. 1948 … Rada Mihalcea and Carlo Strapparava. 2005. Mak- ing computers laugh: Investigations in automatic humor recognition …

Humor markers
C Burgers, M van Mulken – The Routledge handbook of …, 2017 – books.google.com
Page 402. 27 Humor Markers Christian Burgers and Margot van Mulken How does a receiver know that humor is intended? The communicator may say so explicitly (“Wanna hear a joke?”“Listen, this is funny”), but she may also signal humor in less overt ways …

SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition
A Cattle, X Ma – Proceedings of the 11th International Workshop on …, 2017 – aclweb.org
Abstract This paper explores the role of semantic relatedness features, such as word associations, in humour recognition. Specifically, we examine the task of inferring pairwise humour judgments in Twitter hashtag wars. We examine a variety of word association

HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
D Donahue, A Romanov, A Rumshisky – Proceedings of the 11th …, 2017 – aclweb.org
Abstract This paper describes the winning system for SemEval-2017 Task 6:# HashtagWars: Learning a Sense of Humor. Humor detection has up until now been predominantly addressed using feature-based approaches. Our system utilizes recurrent deep learning

Predicting Audience’s Laughter During Presentations Using Convolutional Neural Network
L Chen, CM Lee – Proceedings of the 12th Workshop on Innovative Use …, 2017 – aclweb.org
… Compared to previous data resources sup- porting humor recognition research, ours has several advantages, including (a) both positive and negative instances coming from a homogeneous data set, (b) con- taining a large number of speakers, and (c) being open …

HUMOR: A Crowd-Annotated Spanish Corpus for Humor Analysis
S Castro, M Cubero, D Garat, G Moncecchi – arXiv preprint arXiv …, 2017 – arxiv.org
… fing.edu.uy Abstract Computational Humor, as the name implies, studies humor from a computational perspective, and it fosters several tasks, such as humor recognition, humor generation and humor scoring. The area has been …

Predicting Audience’s Laughter Using Convolutional Neural Network
L Chen, CM Lee – pdfs.semanticscholar.org
… Compared to previous data resources supporting humor recognition research, ours has several ad- vantages, including (a) both positive and negative instances coming from a homo- geneous data set, (b) containing a large number of speakers, and (c) being open …

SVNIT SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach
R Mahajan, M Zaveri – Proceedings of the 11th International Workshop …, 2017 – aclweb.org
… 4 Conclusion This paper describes the participation of SVNIT at SemEval 2017 task 6 Hashtag wars: learning a sense of humor. We have participated with the system implemented using simplest machine learning algorithms and set of features for humor recognition …

QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter
X Han, G Toner – Proceedings of the 11th International Workshop on …, 2017 – aclweb.org
… deserves research at- tention (Yang et al., 2015). Humor recognition or analysis by computers aims to determine whether a sentence in context expresses a certain degree of humor. This can be extremely challenging (Attardo, 1994 …

Identifying Humor in Reviews using Background Text Sources
A Morales, CX Zhai – Proceedings of the 2017 Conference on Empirical …, 2017 – aclweb.org
… Due to the success of linear classifiers in text classification tasks we were in- terested in studying the Perceptron and Adaboost algorithms, we also used a Naive Bayes classi- fier which has been shown to perform relatively well in humor recognition tasks (Mihalcea and …

Homographic Puns Recognition Based on Latent Semantic Structures
Y Diao, L Yang, D Zhang, L Xu, X Fan, D Wu… – … CCF Conference on …, 2017 – Springer
… Similar work can also be found in Taylor [13], which described humor recognition relying on Ontological Semantics by transforming content. Yang et al … 3, pp. 429–432 (2009)Google Scholar. 14. Yang, D., Lavie, A., Dyer, C., et al.: Humor recognition and humor anchor extraction …

DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison
C Baziotis, N Pelekis, C Doulkeridis – Proceedings of the 11th …, 2017 – aclweb.org
… Lei Chen and Chong Min Lee. 2017. Convolutional Neural Network for Humor Recognition. arXiv preprint arXiv:1702.02584 . Fran¸cois Chollet … 2006. Learn- ing to laugh (automatically): Computational models for humor recognition. Computational Intelligence 22(2):126–142 …

Automatic Identification, Definition Clarification And Classification Of English Puns
K RAJULA – digitalxplore.org
… Using the topic ”Making Computers Laugh: Investigations in Automatic Humor recognition” Rada Mihalce and Carlo Strapparava proposed a classification task to classifying humour recognition[6]. They applied machine learning algorithms by using features like humour specific …

Filling the Blanks (hint: plural noun) for Mad Libs Humor
N Hossain, J Krumm, L Vanderwende… – Proceedings of the …, 2017 – aclweb.org
… ter adding “That’s what she said” at the end. Other humor recognition efforts do not start with constraints on the type of humor they recog- nize … As with previous work on humor recognition, humor generation has been largely limited to specific types of jokes …

# WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets
IA Fle?can-Lovin-Arseni, RA Turcu, C Sirbu… – Proceedings of the 11th …, 2017 – aclweb.org
… ACM Transactions on Accessible Com- puting (TACCESS) Volume 1, Issue 3 (February 2009) Article No. 16. Yang, D., Lavie, A., Dyer, C., & Hovy, EH (2015). Humor Recognition and Humor Anchor Extraction. In EMNLP (pp. 2367-2376). 410

Professor Andries Jakob Brink: 29 Aug 1923-17 Oct 2012
AJ Brink – SA Heart Journal, 2017 – jsaa.ac.za
Page 1. 286 Professor Andries Jakob Brink 29.08.1923 – 17.10.2012 IN MEMORIAM fact, in later years, Andries started painting and recently developed into a recognised wine maker of repute. Like Picasso and Dan Margulis …

Which iR Model has a BetteR sense of huMoR? seaRch oveR a laRge collection of Jokes
B VV, B VA, M KI, B PI – dialog-21.ru
… 2. Related Work There are two main research directions in computational humor: humor recognition and humor generation. Stock and Strapparava (2003) have considered the problem of gen- erating funny expansions for known and unknown acronyms …

Iuliana Alexandra Fle?can-Lovin-Arseni, Ramona Andreea Turcu, Cristina Sîrbu, Larisa Alexa, Sandra Maria Amarandei, Nichita Herciu, Constantin Scutaru
D Trandab??, A Iftene – aclweb.org
… ACM Transactions on Accessible Com- puting (TACCESS) Volume 1, Issue 3 (February 2009) Article No. 16. Yang, D., Lavie, A., Dyer, C., & Hovy, EH (2015). Humor Recognition and Humor Anchor Extraction. In EMNLP (pp. 2367-2376). 410

Laughbot: Detecting Humor in Spoken Language with Language and Audio Cues
K Park, A Hu, N Muenster – stanford.edu
… classified as a punchline. A conversational agent outfitted with a humor-recognition system such as the one we present in this paper would be valuable as these agents gain utility in everyday life. 1 Introduction Our project aims …

Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
X Yan, T Pedersen – arXiv preprint arXiv:1704.08390, 2017 – arxiv.org
… Rada Mihalcea and Carlo Strapparava. 2006. Learn- ing to laugh (automatically): Computational models for humor recognition. Computational Intelligence 22(2):126–142. Tomáš Mikolov, Stefan Kombrink, Lukáš Burget, Jan ?Cernock`y, and Sanjeev Khudanpur. 2011 …

Detecting intentional lexical ambiguity in english Puns
E Mikhalkova, Y Karyakin – arXiv preprint arXiv:1707.05468, 2017 – arxiv.org
… Punning, Humor, 17–4, pp. 381–392. 6. Mihalcea R., Strapparava C. (2006), Learning to laugh (automatically): Com- putational models for humor recognition, Computational Intelligence, 22(2), pp. 126–142. 7. Mikhalkova EV (2009 …

Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks
S Du, X Wan, Y Ye – arXiv preprint arXiv:1711.00294, 2017 – arxiv.org
Page 1. Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks Shikang Du, Xiaojun Wan, Yajie Ye Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics …

Discovering Surprising Documents with Context-Aware Word Representations
K Rohanimanesh, A Hydrie – 2017 – users.soe.ucsc.edu
… Researchers have studied different dimensions of this problem in terms of humor identification [12, 4, 10], text aesthetics [15, 16, 7], and document diversity [1, 8]. [12], studies a computational approach for humor recognition by utilizing a set of humor- specific stylistic features …

Dictionaries of Mexican Sexual Slang for NLP.
R Villarejo-Martínez, NA Castro-Sánchez… – CLEI Electron …, 2017 – researchgate.net
… mx Abstract In this paper the creation of two important relevant resources for the double entendre and humour recognition problem in Mexican Spanish is described: a morphological dictionary and a semantic dictionary. These …

Who’s to say what’s funny? A computer using Language Models and Deep Learning, That’s Who!
X Yan, T Pedersen – arXiv preprint arXiv:1705.10272, 2017 – arxiv.org
… arXiv preprint arXiv:1508.06615 . Rada Mihalcea and Carlo Strapparava. 2006. Learn- ing to laugh (automatically): Computational models for humor recognition. Computational Intelligence 22(2):126–142. Tristan Miller and Iryna Gurevych. 2015 …

Sarcasm Detection In Sentiment Analysis
KH Wandra, M Barot – troindia.in
… Chaturvedi [15] From Humor Recognition to Irony Detection: The Figurative Language of Social Media A. Reyesa, P. Rossoa, D. Buscaldib Data and Knowledge Engineering. 74:112 Elsevier [16] Who cares about sarcastic tweets …

A Temporal Community Contexts Based Funny Joke Generation
D Lee, SH Han, KJ Oh, HJ Choi – Mobile Data Management …, 2017 – ieeexplore.ieee.org
… Intelligent Systems, 2017. (to be published) [10] R. Mihalcea, C. Strapparava, “Learning to laugh (automatically): Computational models for humor recognition,” Computational Intelligence 22.2 pp. 126-142, 2006. [11] O. Stock …

Who will be this year’s Patient’s Choice?
J O’Toole – search.proquest.com
Page 1. 22 / 29 March 2017 / volume 31 number 31 nursingstandard.com feature /patient’s choice award Who will be this year’s Patient’s Choice? Our five Patient’s Choice finalists have been shortlisted from scores of nominations …

SARCASM DETECTION IN SENTIMENT ANALYSIS
S Kaushik, MP Barot – pdfs.semanticscholar.org
… Chaturvedi [15] From Humor Recognition to Irony Detection: The Figurative Language of Social Media A. Reyesa, P. Rossoa, D. Buscaldib Data and Knowledge Engineering. 74:112 Elsevier [16] Who cares about sarcastic tweets …

Diyi Yang
D Yang, R Kraut, A Halfaker, E Hovy, Z Yao, J Levine – pdfs.semanticscholar.org
… LREC 2016 5. Humor Recognition and Humor Anchor Extraction Diyi Yang, Alon Lavie, Chris Dyer and Eduard Hovy The 2015 Conference on Empirical Methods on Natural Language Processing. EMNLP 2015 Page 2. (Acceptance Rate: 24%) …

Acoustic Prosodic Features In Sarcastic Utterances
A Abu-Shnein | Journal of Kufa …, 2017? – journals.uokufa.edu.iq
… Portland, Oregon: June 19-24, 2011. shortpapers, 581–586. – Reyes, A., Rosso, P., & Buscaldi, D. (2012). From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering, 74, 1-12 …

Predictive Analysis of Emotions for Improving Customer Services
VK Jain, S Kumar – … on Applying Predictive Analytics within the …, 2017 – books.google.com
… Mihalcea, R., & Strapparava, C.(2005). Making Computers Laugh: Investigations in Automatic Humor Recognition. Proceedings of the Joint Conference on Human Language Technology/Empirical Methods in Natural Language Processing, 531-538 …

A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter
BG Patra, S Mazumdar, D Das, P Rosso… – researchgate.net
… a chal- lenging research topic as the languages have secondary or extended meanings and are intentionally profiled [2]. There have been several automatic compu- tational approaches were attempted to categorize the figurative texts, such as humor recognition, metaphor or …

Humor in Human-Computer Interaction: A Short Survey
A Nijholt, AI Niculescu, V Alessandro, RE Banchs – 2017 – oar.a-star.edu.sg
Page 1. Humor in Human-Computer Interaction: A Short Survey Anton Nijholt, Andreea I. Niculescu, Alessandro Valitutti, Rafael E. Banchs University of Twente, Institute for Infocomm Research (I2R),Universit`a di Bari a.nijholt …

TWITTIRO: a Social Media Corpus with a Multi-layered Annotation for Irony
AT Cignarella, C Bosco, V Patti – ceur-ws.org
… In Proceedings of the 5th Global WordNet Conference. Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012. From Humor Recognition to Irony Detection: The Figurative Language of Social Media. Data & Knowledge Engineering, 74:1–12. Dan Sperber and Deirdre Wilson …

TWITTIRÒ: A social media corpus with a multi-layered annotation for irony
CA Teresa, C Bosco, V Patti – CEUR WORKSHOP PROCEEDINGS, 2017 – iris.unito.it
… In Proceedings of the 5th Global WordNet Conference. Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012. From Humor Recognition to Irony Detection: The Figurative Language of Social Media. Data & Knowledge Engineering, 74:1–12. Dan Sperber and Deirdre Wilson …

En route to a better integration and evaluation of social capacities in vocal artificial agents
F Lefèvre – Proceedings of the 1st ACM SIGCHI International …, 2017 – dl.acm.org
… dialog systems. In In Proceedings of the AAAI-08 Workshop on Advancements in POMDP Solvers. [39] Diyi Yang, Alon Lavie, Chris Dyer, and Eduard Hovy. 2015. Humor Recognition and Humor Anchor Extraction. In EMNLP. 19

Authorship Analysis of Social Media Contents Using Tone and Personality Features
A Usha, SM Thampi – International Conference on Security, Privacy and …, 2017 – Springer
Online social networks have contributed to the countless services that ease human interaction. But the veil of anonymity has become a resort to majority of cyber criminals who indulge in unethical cyb.

Extraction of emotions from multilingual text using intelligent text processing and computational linguistics
VK Jain, S Kumar, SL Fernandes – Journal of Computational Science, 2017 – Elsevier
Skip to main content …

Humor norms for 4,997 English words
T Engelthaler, TT Hills – Behavior research methods, 2017 – Springer
… Boston: Reidel. Mihalcea, R., & Strapparava, C. (2005). Making computers laugh: Investigations in automatic humor recognition. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (pp. 531–538) …

Polarity Shift Analysis for Efficient Opinion Mining
A Jangde, P Malviya – ijaems.com
… This could potentially enable different approaches from polarity Classification. 1.1.5 Other Non-Factual Information in Text Other related areas of research include computational approaches for humour recognition and generation …

Understanding sarcasm in speech using mel-frequency cepstral coefficent
A Mathur, V Saxena, SK Singh – Cloud Computing, Data …, 2017 – ieeexplore.ieee.org
… 1, pp.9Y15, september 2012. [9] Antonio rey es, Paolo rosso, Davide Buscaldi, IFrom humor recognition to ir ony detection: the figurative language of social media” International Journal of Data & Knowledge Engineering, Volume 74, April, pp.1Y12, 2012 …

Irony, sarcasm, and sentiment analysis
DIH Farias, P Rosso – Sentiment Analysis in Social Networks, 2017 – Elsevier
Irony and sarcasm are sophisticated forms of speech in which authors write the opposite of what they mean. They have been studied in linguistics, psychology, an.

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
F Yang, A Mukherjee, E Dragut – arXiv preprint arXiv:1709.01189, 2017 – arxiv.org
Page 1. Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features Fan Yang and Arjun Mukherjee Department of Computer Science University of Houston {fyang11,arjun}@uh.edu Eduard Gragut …

Non-Contextual Modeling of Sarcasm using a Neural Network Benchmark
ND Radpour, V Ashokkumar – arXiv preprint arXiv:1711.07404, 2017 – arxiv.org
… [20] Reyes, A.; Rosso, P.; and Buscaldi, D. 2012. From humor recognition to irony detection: The figurative language of social media. ?Data & Knowledge Engineering? ??74:1–12. [21] Reyes, A.; Rosso, P.; and Veale, T. 2013 …

Humor in Negotiations: How to Persuade Others with Humor
C Gockel – Humor at Work in Teams, Leadership, Negotiations …, 2017 – Springer
… evidence. Journal of Applied Management and Entrepreneurship, 18(2), 83.CrossRefGoogle Scholar. Forester, J. (2004). Responding to critical moments with humor, recognition, and hope. Negotiation Journal, 20(2), 221–237 …

Automatic Generation of Jokes in Hindi
S Aggarwal, R Mamidi – Proceedings of ACL 2017, Student Research …, 2017 – aclweb.org
… 73 Page 6. Rada Mihalcea and Carlo Strapparava. 2006. Learn- ing to laugh (automatically): Computational models for humor recognition. Computational Intelligence 22(2):126–142. Saša Petrovic and David Matthews. 2013. Un- supervised joke generation from big data …

LTRC, KCIS IIIT Hyderabad
S Aggarwal, R Mamidi – 2017 – web2py.iiit.ac.in
… 73 Page 7. Rada Mihalcea and Carlo Strapparava. 2006. Learn- ing to laugh (automatically): Computational models for humor recognition. Computational Intelligence 22(2):126–142. Saša Petrovic and David Matthews. 2013. Un- supervised joke generation from big data …

Changing Definitions of Work and Play: Importance of Workplace Humour
HE Mathew, V Vijayalakshmi – Psychological Studies, 2017 – Springer
… Journal of Communication, 27(1), 181–185.CrossRefGoogle Scholar. Forester, J. (2004). Responding to critical moments with humour, recognition and hope. Negotiation Journal, 20(2), 221–237.CrossRefGoogle Scholar. Francis, LE (1994) …

Non-Contextual Modeling of Sarcasm using a Neural Network Benchmark
V Ashokkumar, ND Radpour – 2017 – ttic.edu
… ACM. Reyes, A.; Rosso, P.; and Buscaldi, D. 2012. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering 74:1–12. Reyes, A.; Rosso, P.; and Veale, T. 2013. A multidimen- sional approach for detecting irony in twitter …

Approaches for Computational Sarcasm Detection: A Survey
L Kumar, A Somani, P Bhattacharyya – pdfs.semanticscholar.org
Page 1. Approaches for Computational Sarcasm Detection: A Survey Lakshya Kumar, Arpan Somani and Pushpak Bhattacharyya Dept. of Computer Science and Engineering Indian Institute of Technology, Powai Mumbai, Maharashtra …

Therapists’ perspectives on the role of humor in therapy
DK Hussong – 2017 – search.proquest.com
… Tsoi et al. (2008) compared the humor recognition abilities of 30 patients with a. DSM-IV diagnosis of schizophrenia with 30 healthy controls matched for age, gender, IQ. and ethnicity. Humor recognition was measured by identification of humorous moments …

Modeling social interestingness in conversational stories
M Behrooz, A Jhala – Proceedings of the Australasian Computer Science …, 2017 – dl.acm.org
… Ablex Publishing Corporation, 1985. [13] A. Reyes, P. Rosso, and D. Buscaldi. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering, 74:1–12, 2012. [14] MO Riedl and RM Young …

Social Agents for Learning in Virtual Environments
LJL Weideveld – 2017 – dspace.library.uu.nl
… [7], which uses AIML to present an agent with a “sense of humour”. The Humorist bot is composed of three AIML parts: the set of standard Alice categories (for a normal conversation), the set of humor generation (to tell a joke), the set of humor recognition (to understand a joke) …

The neurology and psychiatry of humor, smiling and laughter: A tribute to Paul McGhee. Part I. Introduction and clinical studies
F Rodden – HUMOR – degruyter.com
Page 1. Frank Rodden* The neurology and psychiatry of humor, smiling and laughter: A tribute to Paul McGhee. Part I. Introduction and clinical studies https://doi.org/ 10.1515/humor-2016-0093 Abstract: This review article was …

The Use of Humor With Families During Pediatric Trauma Intake Assessments
L Batton – 2017 – search.proquest.com
… more to the structure of humorous stimuli, while the latter is related to content themes. Humor recognition only accounts for a small portion of the different styles of humor that. individuals use or face in their daily lives, there are several more to be discussed further …

Resolving Ambiguity of Some Egyptian Political Jokes Contemporaneous with 2011 Revolution
HA Ebaid – English Language and Literature Studies, 2017 – ccsenet.org
… Reyes, A., Buscaldi, D., & Rosso, P. (2009). An analysis of the impact of ambiguity on automatic humour recognition. Paper presented at the Proceedings of the 12th International Conference on Text, Speech and Dialogue, 162-169 …

Really? well. apparently bootstrapping improves the performance of sarcasm and nastiness classifiers for online dialogue
S Lukin, M Walker – arXiv preprint arXiv:1708.08572, 2017 – arxiv.org
Page 1. Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue Stephanie Lukin Natural Language and Dialogue Systems University of California, Santa …

Academics vs. American scriptwriters vs. academics: A battle over the etic and emic “sarcasm” and “irony” labels
M Dynel – Language & Communication, 2017 – Elsevier
Skip to main content …

Crystalnest at semeval-2017 task 4: Using sarcasm detection for enhancing sentiment classification and quantification
RK Gupta, Y Yang – Proceedings of the 11th International Workshop on …, 2017 – aclweb.org
… ACM WSDM pages 97–106. Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering pages 1–12. Ellen …

The irony of irony: Irony based on truthfulness
M Dynel – Corpus Pragmatics, 2017 – Springer
Drawing on a corpus of academic examples, this paper addresses the vexing notion of “verisimilar irony” from a philosophical-pragmatic perspective. This species of irony escapes a neo-Gricean definiti.

Online spectatorship of death and dying: Pleasure, purpose and community in BestGore. com
M Alvarez – 2017 – participations.org
Page 1. Page 2 . Volume 14, Issue 1 May 2017 Online spectatorship of death and dying: Pleasure, purpose and community in BestGore.com Mike Alvarez, University of Massachusetts Amherst, USA Abstract: Despite the explosion …

Automatic Detection of Fake News
V Pérez-Rosas, B Kleinberg, A Lefevre… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. arXiv:1708.07104v1 [cs.CL] 23 Aug 2017 Automatic Detection of Fake News Verónica Pérez-Rosas1, Bennett Kleinberg2, Alexandra Lefevre1 Rada Mihalcea1 1Computer Science and Engineering, University of Michigan …

Measurement, Theory, and Current Issues in Metacognition: An Overview
TM Miller – … in Chemistry Education: Connecting Research and …, 2017 – ACS Publications
… People are often overconfident about their dating attractiveness (33), driving ability (34, 35), performance on college course exams (36), humor recognition (12), and gun safety knowledge (37). Low performers in particular are prone to being overconfident about their abilities …

A Semi-Supervised Approach to Detecting Stance in Tweets
A Misra, B Ecker, T Handleman, N Hahn… – arXiv preprint arXiv …, 2017 – arxiv.org
… A. Reyes, P. Rosso, and D. Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering. Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, and Ruihong Huang. 2013 …

Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts
MSM Suhaimin, MHA Hijazi, R Alfred… – … (ICIT), 2017 8th …, 2017 – ieeexplore.ieee.org
… [4] A. Reyes, P. Rosso, and D. Buscaldi, “From humor recognition to irony detection: The figurative language of social media,” Data & Knowledge Engineering, vol. 74, 2012, pp. 1-12. % Feature Selection (FS) size 25% 50% 75% No FS Feature 1. Lexical (Baseline) …

Profiling of Participants in Chat Conversations Using Creativity-Based Heuristics
CG Chiru, T Rebedea – Creativity Research Journal, 2017 – Taylor & Francis
Page 1. Profiling of Participants in Chat Conversations Using Creativity-Based Heuristics Costin-Gabriel Chiru and Traian Rebedea University Politehnica of Bucharest, Romania This article proposes a new fully automated method …

Automatic sarcasm detection: A survey
A Joshi, P Bhattacharyya, MJ Carman – ACM Computing Surveys (CSUR …, 2017 – dl.acm.org
Page 1. 73 Automatic Sarcasm Detection: A Survey ADITYA JOSHI, IITB-Monash Research Academy PUSHPAK BHATTACHARYYA, Indian Institute of Technology Bombay MARK J. CARMAN, Monash University Automatic sarcasm …

Figurative Language in Emotion Expressions
SYM Lee – Workshop on Chinese Lexical Semantics, 2017 – Springer
… Doctoral dissertation, The University of Utah (2016). 25. Reyes, A., Rosso, P., Buscaldi, D.: From humor recognition to irony detection: The figura- tive language of social media. Data and Knowledge Engineering. 74, 1-12. (2012). 26 …

Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
D Griol, JM Molina, Z Callejas – Neurocomputing, 2017 – Elsevier
Skip to main content …

Statistical approach for figurative sentiment analysis on social networking services: a case study on twitter
HL Nguyen, JE Jung – Multimedia Tools and Applications, 2017 – Springer
… Decis Support Syst 53(4):754–760CrossRefGoogle Scholar. 15. Reyes A, Rosso P, Buscaldi D (2012b) From humor recognition to irony detection: the figurative language of social media. Data Knowl Eng 74:1–12CrossRefGoogle Scholar. 16 …

Creating and characterizing a diverse corpus of sarcasm in dialogue
S Oraby, V Harrison, L Reed, E Hernandez… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue Shereen Oraby?, Vrindavan Harrison?, Lena Reed?, Ernesto Hernandez?, Ellen Riloff † and Marilyn Walker? ? University of California, Santa …

Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog
S Oraby, V Harrison, A Misra, E Riloff… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog Shereen Oraby1, Vrindavan Harrison1, Amita Misra1, Ellen Riloff 2 and Marilyn Walker1 1 University of California, Santa Cruz 2 University …

Twitter sentiment analysis using hybrid cuckoo search method
AC Pandey, DS Rajpoot, M Saraswat – Information Processing & …, 2017 – Elsevier
Skip to main content …

A semantically-based approach to the annotation of narrative style
R Delmonte, G Marchesi – Proceedings of the 13th Joint ISO-ACL …, 2017 – aclweb.org
… Language Resources and Evaluation 46, 421–447. Reyes, A., P. Rosso, and D. Buscaldi (2012). From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering. Sauri, R. and J. Pustejovsky (2012) …

Strategies Used by Older Patients to Prevent Functional Decline During Hospitalization
S Lafrenière, N Folch, S Dubois… – Clinical nursing …, 2017 – journals.sagepub.com
Almost one third of older patients hospitalized for acute care suffer functional decline. Few studies have investigated the point of view of older patients on p…

A novel automatic satire and irony detection using ensembled feature selection and data mining
K Ravi, V Ravi – Knowledge-Based Systems, 2017 – Elsevier
Skip to main content …

Building a Sentiment Corpus of Tweets in Brazilian Portuguese
HB Brum, MGV Nunes – arXiv preprint arXiv:1712.08917, 2017 – arxiv.org
… Scikit-learn: Ma- chine learning in python. Journal of Machine Learning Research, 12(Oct):2825–2830. Reyes, A., Rosso, P., and Buscaldi, D. (2012). From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering, 74 …

Irony in Charles Dicken’s Oliver Twist
IK Trisnawati, S Sarair, M Rahmi – Englisia Journal, 2017 – jurnal.ar-raniry.ac.id
… Banda Aceh: Universitas Muhammadiyah Aceh Reyes, A., Rosso, P., & Buscaldi, D. (2012). From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering, 74, 1-12. Roberts, RM, & Kreuz, RJ (1994) …

Affect and Interaction in Agent-Based Systems and Social Media: Guest Editors’ Introduction
C Clavel, R Damiano, V Patti, P Rosso – ACM Transactions on Internet …, 2017 – dl.acm.org
… 2016. Sentiment Analysis in Social Networks, 1st Edition. Morgan Kaufmann, Elsevier. Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data Knowl. Eng. 74 (2012), 1–12 …

A Fine-grained Annotation of Irony in Italian Social Media Texts
AT Cignarella – 2017 – researchgate.net
… A statement that seems shared among many, is that there have been just few attempts to create computational models for humor recognition or generation. Of course we find ourselves in the field of creative use of language which goes …

An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis
MT AL-Sharuee, F Liu, M Pratama – arXiv preprint arXiv:1705.10130, 2017 – arxiv.org
Page 1. An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis Murtadha Talib AL-Sharuee?, Fei Liu, Mahardhika Pratama Department of Computer Science and Information …

Stance Classification of Twitter Debates: The Encryption Debate as A Use Case
A Addawood, J Schneider, M Bashir – Proceedings of the 8th …, 2017 – dl.acm.org
Page 1. Stance Classification of Twitter Debates: The Encryption Debate as A Use Case Aseel Addawood Illinois Informatics Institute University of Illinois at Urbana- Champaign aaddaw2@illinois.edu Jodi Schneider School …

Global Metanarratives
JF Lyotard – Popobawa: Tanzanian Talk, Global Misreadings, 2017 – books.google.com
Page 166. 8 Global Metanarratives “Science has always been in conflict with narratives. Judged by the yardstick of science, the majority of them prove to be fables.” —Jean-François Lyotard, The Postmodern Condition Some say Popobawa’s origins are in Yemen …

Ultra-Concise Multi-genre Summarisation of Web2. 0: towards Intelligent Content Generation
E Lloret, E Boldrini, P Martinez-Barco… – Proceedings of the …, 2017 – aclweb.org
Page 1. Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres, pages 37–46, Valencia, Spain, April 3, 2017. cO2017 Association for Computational Linguistics …

Sentiment Analysis and Google Trends Data for Predicting Car Sales
F Wijnhoven, O Plant – 2017 – aisel.aisnet.org
Page 1. Sentiment and Google Trends Car sales Prediction Thirty Eighth International Conference on Information Systems, South Korea 2017 1 Sentiment Analysis and Google Trends Data for Predicting Car Sales Completed Research Paper …

Construction of a multilingual annotated corpus for deeper sentiment understanding in social media
Y Lu, K Sakamoto, H Shibuki, T Mori – Information and Media …, 2017 – jstage.jst.go.jp
Page 1. Information and Media Technologies 12: 111-171 (2017) reprinted from: Journal of Natural Language Processing 24(2): 205-265 (2017) © The Association for Natural Language Processing 111 Construction of a Multilingual Annotated Corpus for …

Sentiment analysis for sarcasm detection on streaming short text data
AG Prasad, S Sanjana, SM Bhat… – … (ICKEA), 2017 2nd …, 2017 – ieeexplore.ieee.org
… In Discovery Science, pages 1–15, 2010. [8] Buscaldi, D., Rosso, P, Reyes, A., “From humor recognition to irony detection: The figurative language of social media”, Data & Knowledge Engineering, April 2012 [9] Barbieri, F., and Saggion, H. 2014 …

A survey of multilingual humantagged short message datasets for sentiment analysis tasks
F Steiner-Correa, MI Viedma-del-Jesus… – Soft Computing, 2017 – Springer
Page 1. Soft Comput DOI 10.1007/s00500-017-2766-5 METHODOLOGIES AND APPLICATION A survey of multilingual human-tagged short message datasets for sentiment analysis tasks F. Steiner-Correa1 · MI Viedma-del-Jesus1 · AG Lopez-Herrera2 …

Loving the Tasmanian Devil: Reflections on marriage and Asperger syndrome
MMC Bartlett – 2017 – books.google.com
Page 1. LOVING THE TASMANs[AN DEVIL REFLECTIONS ON MARRIAGE AND ASPERGER SYNDROME Page 2. Page 3. LOVING THE TASMANIAN DEVIL REFLECTIONS ON MARRIAGE AND ASPERGER SYNDROME MAUREEN …

Social Presence in an Online Cohort
M Barnett-Allen – 2017 – search.proquest.com
Social Presence in an Online Cohort. Abstract. Social presence in online learning has become significant in discussion in higher education. The current study was designed to reveal more fully the student perception of social presence within an online cohort …

Leveraging automated sentiment analysis in software engineering
MR Islam, MF Zibran – Proceedings of the 14th International Conference …, 2017 – dl.acm.org
Page 1. Leveraging Automated Sentiment Analysis in Software Engineering Md Rakibul Islam University of New Orleans, USA Email: mislam3@uno.edu Minhaz F. Zibran University of New Orleans, USA Email: zibran@cs.uno.edu …

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