Selected Publications

• Detecting Euphemisms with Literal Descriptions and Visual Imagery
  Ílker Kesen, Aykut Erdem, Erkut Erdem, Iacer Calixto. In: 3rd Workshop on Figurative Language Processing at EMNLP, 2022.
     

• VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
  Letitia Parcalabescu, Michele Cafagna, Lilitta Muradjan, Anette Frank, Iacer Calixto, Albert Gatt. In: ACL, 2022.
     

• Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
  Erkut Erdem, Menekse Kuyu, Semih Yagcioglu, Anette Frank, Letiția Pârcălăbescu, Barbara Plank, Andrii Babii, Oleksii Turuta, Aykut Erdem, Iacer Calixto, Elena Lloret, Elena-Simona Apostol, Ciprian-Octavian Truică, Branislava Šandrih, Albert Gatt, Sanda Martinčić-Ipšic, Gábor Berend, Gražina Korvel. Journal of Artificial Intelligence Research, 2022.
     

• Endowing Language Models with Multimodal Knowledge Graph Representations
  Ningyuan (Teresa) Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto. arXiv.org, 2022.
     

• Zero-shot hashtag segmentation for multilingual sentiment analysis
  Ruan Chaves Rodrigues, Marcelo Akira Inuzuka, Juliana Resplande Sant’Anna Gomes, Acquila Santos Rocha, Iacer Calixto, Hugo Alexandre Dantas do Nascimento. arXiv.org, 2021.
     

• Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks
  Iacer Calixto, Alessandro Raganato, Tommaso Pasini. In: NAACL, 2021.
       

• Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
  Letitia Parcalabescu, Albert Gatt, Anette Frank, Iacer Calixto. In: Beyond Language: Multimodal Semantic Representations Workshop (MMSR), 2021.
     

• VisualSem: a high-quality knowledge graph for vision and language
  Houda Alberts, Teresa Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, Iacer Calixto. In: Multilingual Representation Learning Workshop, 2021.
     

• Natural language processing for mental disorders: an overview
  Iacer Calixto, Victoria Yaneva, Raphael Moura Cardoso. In: Natural Language Processing in Healthcare: A Special Focus on Low Resource Languages (CRC Press), 2021.
     

• Are scene graphs good enough to improve Image Captioning?
  Victor Milewski, Marie-Francine Moens, Iacer Calixto. In: AACL, 2020.
     

• English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
  Jason Phang *, Iacer Calixto *, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman. (* Equal Contribution). In: AACL, 2020.
     

• Can Wikipedia Categories Improve Masked Language Model Pretraining?
  Diksha Meghwal, Katharina Kann, Iacer Calixto, Stanislaw Jastrzebski. In: Widening NLP Workshop, 2020.
     

• Latent Variable Model for Multi-modal Translation
  Iacer Calixto, Miguel Rios, Wilker Aziz. In: ACL, 2019.
     

• An Error Analysis for Image-Based Multi-Modal Neural Machine Translation
  Iacer Calixto, Qun Liu. Machine Translation: Special Issue in Human Factors in Neural Machine Translation, 2019.
     

• Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
  Iacer Calixto, Qun Liu, Nick Campbell. In: ACL, 2017.
     

• Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation
  Thiago Castro Ferreira, Iacer Calixto, Sander Wubben and Emiel Krahmer. In: INLG, 2017.
      

• Incorporating Global Visual Features into Attention-Based Neural Machine Translation
  Iacer Calixto, Qun Liu. In: EMNLP, 2017.
     

• Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles
  Iacer Calixto, Daniel Stein, Evgeny Matusov, Sheila Castilho, Andy Way. In: 6th Workshop on Vision and Language, 2017.
     

• Using Images to Improve Machine-Translating E-Commerce Product Listings
  Iacer Calixto, Daniel Stein, Evgeny Matusov, Pintu Lohar, Sheila Castilho, Andy Way. In: EACL, 2017.
     

• Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing
  Iacer Calixto, Qun Liu. In: RANLP, 2017.
     

• Is Neural Machine Translation the New State-of-the-Art?
  Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way. PBML, 2017.
     

• Developing a Dataset for Evaluating Approaches for Document Expansion with Images
  Debasis Ganguly, Iacer Calixto, Gareth Jones. In: LREC, 2016.
     

• Multimodal neural machine translation using minimum risk training
  Chris Hokamp, Iacer Calixto. In: WMT, 2016.
    

• DCU–UvA Multimodal MT System Report
  Iacer Calixto, Desmond Elliott, Stella Frank. In: WMT, 2016.
    

• Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies
  Sanja Stajner, Iacer Calixto, Horacio Saggion. In: RANLP, 2015.
     

• Experiments in Medical Translation Shared Task at WMT 2014
  Jian Zhang, Xiaofeng Wu, Iacer Calixto, Ali Vahid, Andy Way, Qun Liu. In: WMT, 2014.
    

• Target-Centric Features for Translation Quality Estimation
  Chris Hokamp, Iacer Calixto, Joachim Wagner, Jian Zhang. In: WMT, 2014.
    

• Images as context in Statistical Machine Translation
  Iacer Calixto, Lucia Specia, Teófilo de Campos. In: The Workshop on Vision and Language, 2012.