Is This a Joke? Detecting Humor in Spanish Tweets. - Santiago Castro; Matías Cubero; Diego Garat; Guillermo Moncecchi (IBERAMIA, 2016)

HUMOR: A Crowd-Annotated Spanish Corpus for Humor Analysis. - Santiago Castro; Matías Cubero; Diego Garat; Guillermo Moncecchi (CoRR, 2017)

RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN. - Aiala Rosá; Luis Chiruzzo; Mathías Etcheverry; Santiago Castro (CoRR, 2017)

A Crowd-Annotated Spanish Corpus for Humor Analysis. - Santiago Castro; Luis Chiruzzo; Aiala Rosá; Diego Garat; Guillermo Moncecchi (SocialNLP@ACL, 2018)

Overview of the HAHA Task: Humor Analysis Based on Human Annotation at IberEval 2018. - Santiago Castro; Luis Chiruzzo; Aiala Rosá (IberEval@SEPLN, 2018)

A High Coverage Method for Automatic False Friends Detection for Spanish and Portuguese. - Santiago Castro; Jairo Bonanata; Aiala Rosá (VarDial@COLING 2018, 2018)

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). - Santiago Castro; Devamanyu Hazarika; Verónica Pérez-Rosas; Roger Zimmermann; Rada Mihalcea; Soujanya Poria (ACL (1), 2019)

Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation. - Luis Chiruzzo; Santiago Castro; Mathías Etcheverry; Diego Garat; Juan José Prada; Aiala Rosá (IberLEF@SEPLN, 2019)

LifeQA: A Real-life Dataset for Video Question Answering. - Santiago Castro; Mahmoud Azab; Jonathan C. Stroud; Cristina Noujaim; Ruoyao Wang; Jia Deng 001; Rada Mihalcea (LREC, 2020)

HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish. - Luis Chiruzzo; Santiago Castro; Aiala Rosá (LREC, 2020)

WhyAct: Identifying Action Reasons in Lifestyle Vlogs. - Oana Ignat; Santiago Castro; Hanwen Miao; Weiji Li; Rada Mihalcea (EMNLP (1), 2021)

Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework. - Santiago Castro; Ruoyao Wang; Pingxuan Huang; Ian Stewart; Nan Liu 010; Jonathan C. Stroud; Rada Mihalcea (CoRR, 2021)

Overview of HAHA at IberLEF 2021: Detecting, Rating and Analyzing Humor in Spanish. - Luis Chiruzzo; Santiago Castro; Santiago Góngora; Aiala Rosá; J. A. Meaney; Rada Mihalcea (Proces. del Leng. Natural, 2021)

FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework. - Santiago Castro; Ruoyao Wang; Pingxuan Huang; Ian Stewart; Oana Ignat; Nan Liu 010; Jonathan C. Stroud; Rada Mihalcea (ACL (1), 2022)

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding Tasks. - Santiago Castro; Fabian Caba (BMVC, 2022)

In-the-Wild Video Question Answering. - Santiago Castro; Naihao Deng; Pingxuan Huang; Mihai Burzo; Rada Mihalcea (COLING, 2022)

WildQA: In-the-Wild Video Question Answering. - Santiago Castro; Naihao Deng; Pingxuan Huang; Mihai Burzo; Rada Mihalcea (CoRR, 2022)

Phenaki: Variable Length Video Generation From Open Domain Textual Description. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (CoRR, 2022)

Overview of QuALES at IberLEF 2022: Question Answering Learning from Examples in Spanish. - Aiala Rosá; Luis Chiruzzo; Lucía Bouza; Alina Dragonetti; Santiago Castro; Mathías Etcheverry; Santiago Góngora; Santiago Goycoechea; Juan Machado; Guillermo Moncecchi; Juan José Prada; Dina Wonsever (Proces. del Leng. Natural, 2022)

When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs. - Oana Ignat; Santiago Castro; Yuhang Zhou; Jiajun Bao; Dandan Shan; Rada Mihalcea (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (ICLR, 2023)

Fast detection and localization of mitosis using a semi-supervised deep representation. - Santiago Castro; David Romo-Bucheli; Luis Guayacán; Fabio Martínez (Digital and Computational Pathology, 2023)

RETUYT-InCo Submission at HUHU 2023: Detecting Humor and Prejudice through Supervised Methods. - Ignacio Sastre; Alexis Baladón; Mauricio Berois; Fernanda Cánepa; Agustín Lucas; Santiago Castro; Santiago Góngora; Luis Chiruzzo (IberLEF@SEPLN, 2023)

Scalable Performance Analysis for Vision-Language Models. - Santiago Castro; Oana Ignat; Rada Mihalcea (*SEM@ACL, 2023)

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction. - Oana Ignat; Santiago Castro; Weiji Li; Rada Mihalcea (CoRR, 2023)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models. - Santiago Castro; Amir Ziai; Avneesh Saluja; Zhuoning Yuan; Rada Mihalcea (CoRR, 2024)

Towards Video Understanding through Language in Real-life Settings - Santiago Castro (2024)