FBK's Neural Machine Translation Systems for IWSLT 2016. - M. Amin Farajian; Rajen Chatterjee; Costanza Conforti; Shahab Jalalvand; Vevake Balaraman; Mattia Antonino Di Gangi; Duygu Ataman; Marco Turchi; Matteo Negri; Marcello Federico (IWSLT, 2016)

Supervised Word Sense Disambiguation for Venetan: A Proof-of-Concept Experiment. - Costanza Conforti; Alexander M. Fraser (FLAIRS, 2017)

Neural Morphological Tagging of Lemma Sequences for Machine Translation. - Costanza Conforti; Matthias Huck; Alexander M. Fraser (AMTA (1), 2018)

Modeling the Fake News Challenge as a Cross-Level Stance Detection Task. - Costanza Conforti; Mohammad Taher Pilehvar; Nigel Collier (CIKM Workshops, 2018)

Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles. - Costanza Conforti; Mohammad Taher Pilehvar; Nigel Collier (FEVER@EMNLP, 2018)

Neural architectures for open-type relation argument extraction. - Benjamin Roth 001; Costanza Conforti; Nina Pörner; Sanjeev Kumar Karn; Hinrich Schütze (Nat. Lang. Eng., 2019)

Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter. - Costanza Conforti; Jakob Berndt; Mohammad Taher Pilehvar; Chryssi Giannitsarou; Flavio Toxvaerd; Nigel Collier (ACL, 2020)

STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval. - Costanza Conforti; Jakob Berndt; Mohammad Taher Pilehvar; Chryssi Giannitsarou; Flavio Toxvaerd; Nigel Collier (EMNLP (Findings), 2020)

Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling. - Costanza Conforti; Stephanie Hirmer; Dai Morgan; Marco Basaldella; Yau Ben Or (EMNLP (1), 2020)

Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling. - Costanza Conforti; Stephanie Hirmer; David Morgan; Marco Basaldella; Yau Ben Or (CoRR, 2020)

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. - Thomas Hikaru Clark; Costanza Conforti; Fangyu Liu 001; Zaiqiao Meng; Ehsan Shareghi; Nigel Collier (W-NUT, 2021)

Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus. - Costanza Conforti; Jakob Berndt; Marco Basaldella; Mohammad Taher Pilehvar; Chryssi Giannitsarou; Flavio Toxvaerd; Nigel Collier (EACL (Hackashop), 2021)

Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries. - Stephanie Hirmer; Alycia Leonard; Josephine Tumwesige; Costanza Conforti (EACL, 2021)

Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. - Costanza Conforti; Jakob Berndt; Mohammad Taher Pilehvar; Chryssi Giannitsarou; Flavio Toxvaerd; Nigel Collier (WASSA@EACL, 2021)

Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries. - Stephanie Hirmer; Alycia Leonard; Josephine Tumwesige; Costanza Conforti (CoRR, 2021)

Incorporating Stock Market Signals for Twitter Stance Detection. - Costanza Conforti; Jakob Berndt; Mohammad Taher Pilehvar; Chryssi Giannitsarou; Flavio Toxvaerd; Nigel Collier (ACL (1), 2022)

At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of Interviews. - Goya van Boven; Stephanie Hirmer; Costanza Conforti (LREC, 2022)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Pieter Gijsbers; Joan Giner-Miguelez; Nitisha Jain; Michael Kuchnik; Quentin Lhoest; Pierre Marcenac; Manil Maskey; Peter Mattson; Luis Oala; et al. (DEEM@SIGMOD, 2024)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Luca Foschini 002; Joan Giner-Miguelez; Pieter Gijsbers; Sujata S. Goswami; Nitisha Jain; Michalis Karamousadakis; Michael Kuchnik; Satyapriya Krishna; Sylvain Lesage; et al. (NeurIPS, 2024)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Joan Giner-Miguelez; Nitisha Jain; Michael Kuchnik; Quentin Lhoest; Pierre Marcenac; Manil Maskey; Peter Mattson; Luis Oala; Pierre Ruyssen; et al. (CoRR, 2024)

A Standardized Machine-readable Dataset Documentation Format for Responsible AI. - Nitisha Jain; Mubashara Akhtar; Joan Giner-Miguelez; Rajat Shinde; Joaquin Vanschoren; Steffen Vogler; Subhra S. Goswami; Yuhan Rao; Tim Santos; Luis Oala; Michalis Karamousadakis; Manil Maskey; et al. (CoRR, 2024)