Reports of the workshops held at the 2019 aaai conference on artificial intelligence

Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher Geib; Odd Erik Gundersen; Seán Heígeartaig; José Hernández-Orallo; Chiori Hori; Xiaowei Huang; Kokil Jaidka; Pavan Kapanipathi; Sarah Keren; Seokhwan Kim; Marc Lanctot; Danny Lange; David Martinez; Marwan Mattar; Mausam; Julian Mcauley; Martin Michalowski; Reuth Mirsky; Roozbeh Mottaghi; Joseph C. Osborn; Julien Pérolat; Martin Schmid; Arash Shaban-Nejad; Onn Shehory; Biplav Srivastava; William Streilein; Kartik Talamadupula; Julian Togelius; Koichiro Yoshino; Quanshi Zhang; Imed Zitouni

doi:10.1609/aimag.v40i3.4981

Reports of the workshops held at the 2019 aaai conference on artificial intelligence

Guy Barash
, Mauricio Castillo-Effen
, Niyati Chhaya
, Peter Clark
, Huáscar Espinoza
, Eitan Farchi
, Christopher Geib
, Odd Erik Gundersen
, Seán Heígeartaig
, José Hernández-Orallo
, Chiori Hori
, Xiaowei Huang
, Kokil Jaidka
, Pavan Kapanipathi
, Sarah Keren
, Seokhwan Kim
, Marc Lanctot
, Danny Lange
, David Martinez
, Marwan Mattar

Mausam, Julian Mcauley, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni

Western Digital
Lockheed Martin
Adobe Research
Allen Institute for Artificial Intelligence
Commissariat àĺÉnergie Atomique
IBM
SIFT LLC
Norwegian University of Science and Technology
University of Cambridge
Polytechnic University of Valencia
Mitsubishi Electric Corporation
University of Liverpool
Nanyang Technological University
Harvard University
Adobe Systems Incorporated
Alphabet Inc.
Unity Technologies
Massachusetts Institute of Technology
Indian Institute of Technology Delhi
University of California at San Diego
University of Minnesota Twin Cities
University of Texas System
Allen Institutem for Artificial Intelligence
Pomona College
University of Tennessee Health Science Center
Bar-Ilan University
IBM's
New York University
Nara Institute of Science and Technology
Shanghai Jiao Tong University
Microsoft USA

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Affective Content Analysis and CL-Aff Shared Task: In Pursuit of Happiness The Affective Content Analysis workshop series held at the AAAI Conference on Artificial Intelligence is an interdisciplinary platform intended to engage the AI and machinelearning communities about open problems in affective content analysis and understanding, with a special focus on affect in language and text. The theme of this second workshop was modeling affect-in-action, with a shared task (CL-Aff-in pursuit of happiness) to encourage the development of new models and approaches for modeling happy moments.

Original language	English
Pages (from-to)	67-78
Number of pages	12
Journal	AI Magazine
Volume	40
Issue number	3
DOIs	https://doi.org/10.1609/aimag.v40i3.4981
Publication status	Published - 2019
Externally published	Yes

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10.1609/aimag.v40i3.4981

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Barash, G., Castillo-Effen, M., Chhaya, N., Clark, P., Espinoza, H., Farchi, E., Geib, C., Gundersen, O. E., Heígeartaig, S., Hernández-Orallo, J., Hori, C., Huang, X., Jaidka, K., Kapanipathi, P., Keren, S., Kim, S., Lanctot, M., Lange, D., Martinez, D., ... Zitouni, I. (2019). Reports of the workshops held at the 2019 aaai conference on artificial intelligence. AI Magazine, 40(3), 67-78. https://doi.org/10.1609/aimag.v40i3.4981

@article{78fbf1e2f8654b94b636f3ec821e3658,

title = "Reports of the workshops held at the 2019 aaai conference on artificial intelligence",

abstract = "Affective Content Analysis and CL-Aff Shared Task: In Pursuit of Happiness The Affective Content Analysis workshop series held at the AAAI Conference on Artificial Intelligence is an interdisciplinary platform intended to engage the AI and machinelearning communities about open problems in affective content analysis and understanding, with a special focus on affect in language and text. The theme of this second workshop was modeling affect-in-action, with a shared task (CL-Aff-in pursuit of happiness) to encourage the development of new models and approaches for modeling happy moments.",

author = "Guy Barash and Mauricio Castillo-Effen and Niyati Chhaya and Peter Clark and Hu{\'a}scar Espinoza and Eitan Farchi and Christopher Geib and Gundersen, \{Odd Erik\} and Se{\'a}n He{\'i}geartaig and Jos{\'e} Hern{\'a}ndez-Orallo and Chiori Hori and Xiaowei Huang and Kokil Jaidka and Pavan Kapanipathi and Sarah Keren and Seokhwan Kim and Marc Lanctot and Danny Lange and David Martinez and Marwan Mattar and Mausam and Julian Mcauley and Martin Michalowski and Reuth Mirsky and Roozbeh Mottaghi and Osborn, \{Joseph C.\} and Julien P{\'e}rolat and Martin Schmid and Arash Shaban-Nejad and Onn Shehory and Biplav Srivastava and William Streilein and Kartik Talamadupula and Julian Togelius and Koichiro Yoshino and Quanshi Zhang and Imed Zitouni",

note = "Publisher Copyright: Copyright {\textcopyright} 2019, Association for the Advancement of Artificial Intelligence.",

year = "2019",

doi = "10.1609/aimag.v40i3.4981",

language = "English",

volume = "40",

pages = "67--78",

journal = "AI Magazine",

issn = "0738-4602",

publisher = "John Wiley and Sons Inc.",

number = "3",

}

Barash, G, Castillo-Effen, M, Chhaya, N, Clark, P, Espinoza, H, Farchi, E, Geib, C, Gundersen, OE, Heígeartaig, S, Hernández-Orallo, J, Hori, C, Huang, X, Jaidka, K, Kapanipathi, P, Keren, S, Kim, S, Lanctot, M, Lange, D, Martinez, D, Mattar, M, Mausam, Mcauley, J, Michalowski, M, Mirsky, R, Mottaghi, R, Osborn, JC, Pérolat, J, Schmid, M, Shaban-Nejad, A, Shehory, O, Srivastava, B, Streilein, W, Talamadupula, K, Togelius, J, Yoshino, K, Zhang, Q & Zitouni, I 2019, 'Reports of the workshops held at the 2019 aaai conference on artificial intelligence', AI Magazine, vol. 40, no. 3, pp. 67-78. https://doi.org/10.1609/aimag.v40i3.4981

TY - JOUR

T1 - Reports of the workshops held at the 2019 aaai conference on artificial intelligence

AU - Barash, Guy

AU - Castillo-Effen, Mauricio

AU - Chhaya, Niyati

AU - Clark, Peter

AU - Espinoza, Huáscar

AU - Farchi, Eitan

AU - Geib, Christopher

AU - Gundersen, Odd Erik

AU - Heígeartaig, Seán

AU - Hernández-Orallo, José

AU - Hori, Chiori

AU - Huang, Xiaowei

AU - Jaidka, Kokil

AU - Kapanipathi, Pavan

AU - Keren, Sarah

AU - Kim, Seokhwan

AU - Lanctot, Marc

AU - Lange, Danny

AU - Martinez, David

AU - Mattar, Marwan

AU - Mausam,

AU - Mcauley, Julian

AU - Michalowski, Martin

AU - Mirsky, Reuth

AU - Mottaghi, Roozbeh

AU - Osborn, Joseph C.

AU - Pérolat, Julien

AU - Schmid, Martin

AU - Shaban-Nejad, Arash

AU - Shehory, Onn

AU - Srivastava, Biplav

AU - Streilein, William

AU - Talamadupula, Kartik

AU - Togelius, Julian

AU - Yoshino, Koichiro

AU - Zhang, Quanshi

AU - Zitouni, Imed

PY - 2019

Y1 - 2019

N2 - Affective Content Analysis and CL-Aff Shared Task: In Pursuit of Happiness The Affective Content Analysis workshop series held at the AAAI Conference on Artificial Intelligence is an interdisciplinary platform intended to engage the AI and machinelearning communities about open problems in affective content analysis and understanding, with a special focus on affect in language and text. The theme of this second workshop was modeling affect-in-action, with a shared task (CL-Aff-in pursuit of happiness) to encourage the development of new models and approaches for modeling happy moments.

AB - Affective Content Analysis and CL-Aff Shared Task: In Pursuit of Happiness The Affective Content Analysis workshop series held at the AAAI Conference on Artificial Intelligence is an interdisciplinary platform intended to engage the AI and machinelearning communities about open problems in affective content analysis and understanding, with a special focus on affect in language and text. The theme of this second workshop was modeling affect-in-action, with a shared task (CL-Aff-in pursuit of happiness) to encourage the development of new models and approaches for modeling happy moments.

UR - https://www.scopus.com/pages/publications/85073588660

U2 - 10.1609/aimag.v40i3.4981

DO - 10.1609/aimag.v40i3.4981

M3 - Article

AN - SCOPUS:85073588660

SN - 0738-4602

VL - 40

SP - 67

EP - 78

JO - AI Magazine

JF - AI Magazine

IS - 3

ER -

Reports of the workshops held at the 2019 aaai conference on artificial intelligence

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