Legal NERC with ontologies, Wikipedia and curriculum learning. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (EACL (2), 2017)

Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (FLAIRS, 2017)

A low-cost, high-coverage legal named entity recognizer, classifier and linker. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (ICAIL, 2017)

Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (ISWC (Posters, Demos & Industry Tracks), 2017)

Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines. - Milagro Teruel; Cristian Cardellino; Fernando Cardellino; Laura Alonso Alemany; Serena Villata (LREC, 2018)

Co-embeddings for Student Modeling in Virtual Learning Environments. - Milagro Teruel; Laura Alonso Alemany (UMAP, 2018)

Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations. - Cristian Cardellino; Laura Alonso Alemany; Milagro Teruel; Serena Villata; Santiago Marro (FLAIRS, 2019)

Different Flavors of Attention Networks for Argument Mining. - Johanna Frau; Milagro Teruel; Laura Alonso Alemany; Serena Villata (FLAIRS, 2019)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Alexey Skrynnik; Zoya Volovikova; Marc-Alexandre Côté; Anton Voronov; Artem Zholus; Negar Arabzadeh; Shrestha Mohanty; Milagro Teruel; Ahmed Awadallah 001; Aleksandr Panov; Mikhail Burtsev 001; Julia Kiseleva (CoRR, 2022)

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. - Shrestha Mohanty; Negar Arabzadeh; Milagro Teruel; Yuxuan Sun 004; Artem Zholus; Alexey Skrynnik; Mikhail Burtsev 001; Kavya Srinet; Aleksandr Panov; Arthur Szlam; Marc-Alexandre Côté; Julia Kiseleva (CoRR, 2022)

On Improving Summarization Factual Consistency from Natural Language Feedback. - Yixin Liu 003; Budhaditya Deb; Milagro Teruel; Aaron Halfaker; Dragomir Radev; Ahmed Hassan Awadallah (ACL (1), 2023)

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback. - Nikhil Mehta 003; Milagro Teruel; Patricio Figueroa Sanz; Xin Deng; Ahmed Hassan Awadallah; Julia Kiseleva (CoRR, 2023)

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions. - Shrestha Mohanty; Negar Arabzadeh; Julia Kiseleva; Artem Zholus; Milagro Teruel; Ahmed Awadallah 001; Yuxuan Sun 004; Kavya Srinet; Arthur Szlam (CoRR, 2023)

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback. - Nikhil Mehta 003; Milagro Teruel; Xin Deng; Sergio Figueroa Sanz; Ahmed Awadallah 001; Julia Kiseleva (EACL (Findings), 2024)