Uma Proposta Metodológica para a Categorização Automatizada de Atrações Turísticas a partir de Comentários de Usuários em Plataformas Online (A Methodological Proposition for the Automatic Categorization of Touristic Attractions from User Comments in Online Platforms)[In Portuguese]. - Vanessa Maria Ramos Lopes Paiva; Tiago Timponi Torrent (STIL, 2017)

(Re)construing Meaning in NLP. - Sean Trott; Tiago Timponi Torrent; Nancy Chang; Nathan Schneider 001 (ACL, 2020)

Semi-supervised Deep Embedded Clustering with Anomaly Detection for Semantic Frame Induction. - Zheng Xin Yong; Tiago Timponi Torrent (LREC, 2020)

Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet. - Alexandre Diniz da Costa; Mateus Coutinho Marim; Ely Edison Matos; Tiago Timponi Torrent (LREC, 2022)

Lutma: A Frame-Making Tool for Collaborative FrameNet Development. - Tiago Timponi Torrent; Arthur Lorenzi; Ely Edison Matos; Frederico Belcavello; Marcelo Viridiano; Maucha Andrade Gamonal (NLPerspectives@LREC, 2022)

The Case for Perspective in Multimodal Datasets. - Marcelo Viridiano; Tiago Timponi Torrent; Oliver Czulo; Arthur Lorenzi; Ely Edison da Silva Matos; Frederico Belcavello (NLPerspectives@LREC, 2022)

Frame Shift Prediction. - Zheng Xin Yong; Patrick D. Watson; Tiago Timponi Torrent; Oliver Czulo; Collin F. Baker (LREC, 2022)

The Case for Perspective in Multimodal Datasets. - Marcelo Viridiano; Tiago Timponi Torrent; Oliver Czulo; Arthur Lorenzi Almeida; Ely Edison da Silva Matos; Frederico Belcavello (CoRR, 2022)

Charon: a FrameNet Annotation Tool for Multimodal Corpora. - Frederico Belcavello; Marcelo Viridiano; Ely Edison Matos; Tiago Timponi Torrent (CoRR, 2022)

Using Sentiment Analysis to Identify Student Emotional State to Avoid Dropout in E-Learning. - Míria L. D. R. Bóbó; Fernanda Campos; Victor Ströele; José Maria N. David; Regina Braga 001; Tiago Timponi Torrent (Int. J. Distance Educ. Technol., 2022)

Frame2: A FrameNet-based Multimodal Dataset for Tackling Text-image Interactions in Video. - Frederico Belcavello; Tiago Timponi Torrent; Ely Edison Matos; Adriana S. Pagano; Maucha Gamonal; Natália Sigiliano; Lívia Vicente Dutra; Helen de Andrade Abreu; Mairon Samagaio; Mariane Carvalho; Franciany Campos; Gabrielly Azalim; et al. (LREC/COLING, 2024)

Framed Multi30K: A Frame-Based Multimodal-Multilingual Dataset. - Marcelo Viridiano; Arthur Lorenzi; Tiago Timponi Torrent; Ely Edison Matos; Adriana S. Pagano; Natália Sathler Sigiliano; Maucha Gamonal; Helen de Andrade Abreu; Lívia Vicente Dutra; Mairon Samagaio; Mariane Carvalho; Franciany Campos; et al. (LREC/COLING, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

FutureVision: A methodology for the investigation of future cognition. - Tiago Timponi Torrent; Mark Turner 005; Nicolás Hinrichs; Frederico Belcavello; Igor Lourenço; Arthur Lorenzi Almeida; Marcelo Viridiano; Ely Edison Matos (CoRR, 2025)

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation. - Emilio Villa-Cueva; Sholpan Bolatzhanova; Diana Turmakhan; Kareem Elzeky; Henok Biadglign Ademtew; Alham Fikri Aji; Israel Abebe Azime; Jinheon Baek; Frederico Belcavello; Fermin Cristobal; Jan Christian Blaise Cruz; Mary Dabre; et al. (CoRR, 2025)