Deriving polarity effects. - Raffaella Bernardi (TAG+, 2000)

Galois Connections in Categorial Type Logic. - Carlos Areces; Raffaella Bernardi; Michael Moortgat (FGMOL, 2001)

Generalized Quantifiers in Declarative and Interrogative Sentences. - Raffaella Bernardi; Richard Moot (Log. J. IGPL, 2003)

Analyzing the Core of Categorial Grammar. - Carlos Areces; Raffaella Bernardi (J. Log. Lang. Inf., 2004)

The Syntactic Process: Language, Speech, and Communication, Mark Steedman. - Raffaella Bernardi (J. Log. Lang. Inf., 2004)

Automatic Induction of a POS Tagset for Italian. - Raffaella Bernardi; Andrea Bolognesi; Corrado Seidenari; Fabio Tamburini (ALTA, 2005)

POS tagset design for Italian. - Raffaella Bernardi; Andrea Bolognesi; Corrado Seidenari; Fabio Tamburini (LREC, 2006)

Multilingual Search in Libraries. The case-study of the Free University of Bozen-Bolzano. - Raffaella Bernardi; Diego Calvanese; Luca Dini; Vittorio Di Tomaso; Elisabeth Frasnelli; Ulrike Kugler; Barbara Plank (LREC, 2006)

English Querying over Ontologies: E-QuOnto. - Raffaella Bernardi; Francesca Bonin; Diego Calvanese; Domenico Carbotta; Camilo Thorne (AI*IA, 2007)

Expressing DL-Lite Ontologies with Controlled English. - Raffaella Bernardi; Diego Calvanese; Camilo Thorne (Description Logics, 2007)

An Empirical View on IQA Follow-up Questions. - Manuel Kirschner; Raffaella Bernardi (SIGdial, 2007)

Continuation Semantics for Symmetric Categorial Grammar. - Raffaella Bernardi; Michael Moortgat (WoLLIC, 2007)

Questions and Answers: Theoretical and Applied Perspectives. - Raffaella Bernardi; Bonnie L. Webber (J. Appl. Log., 2007)

Optionality, Scope, and Licensing: An Application of Partially Ordered Categories. - Raffaella Bernardi; Anna Szabolcsi (J. Log. Lang. Inf., 2008)

Analyzing Interactive QA Dialogues Using Logistic Regression Models. - Manuel Kirschner; Raffaella Bernardi; Marco Baroni; Le Thanh Dinh (AI*IA, 2009)

Metadata Enrichment via Topic Models for Author Name Disambiguation. - Raffaella Bernardi; Dieu-Thu Le (NLP4DL/AT4DL, 2009)

Exploring Topic Continuation Follow-up Questions using Machine Learning. - Manuel Kirschner; Raffaella Bernardi (HLT-NAACL (Student Research Workshop and Doctoral Consortium), 2009)

Context Fusion: The Role of Discourse Structure and Centering Theory. - Raffaella Bernardi; Manuel Kirschner; Zorana Ratkovic (LREC, 2010)

Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context. - Manuel Kirschner; Raffaella Bernardi (SIGDIAL Conference, 2010)

Continuation semantics for the Lambek-Grishin calculus. - Raffaella Bernardi; Michael Moortgat (Inf. Comput., 2010)

Entailment above the word level in distributional semantics. - Marco Baroni; Raffaella Bernardi; Ngoc-Quynh Do; Chung-chieh Shan (EACL, 2012)

A relatedness benchmark to test the role of determiners in compositional distributional semantics. - Raffaella Bernardi; Georgiana Dinu; Marco Marelli; Marco Baroni (ACL (2), 2013)

Exploiting Language Models for Visual Recognition. - Dieu-Thu Le; Jasper R. R. Uijlings; Raffaella Bernardi (EMNLP, 2013)

Exploiting language models to recognize unseen actions. - Dieu-Thu Le; Raffaella Bernardi; Jasper R. R. Uijlings (ICMR, 2013)

CCG Categories for Distributional Semantic Models. - Paramita Mirza; Raffaella Bernardi (RANLP, 2013)

TUHOI: Trento Universal Human Object Interaction Dataset. - Dieu-Thu Le; Jasper R. R. Uijlings; Raffaella Bernardi (VL@COLING, 2014)

Coloring Objects: Adjective-Noun Visual Semantic Compositionality. - Dat Tien Nguyen; Angeliki Lazaridou; Raffaella Bernardi (VL@COLING, 2014)

Distributional Semantics: A Montagovian View. - Raffaella Bernardi (Categories and Types in Logic, Language, and Physics, 2014)

A SICK cure for the evaluation of compositional distributional semantic models. - Marco Marelli; Stefano Menini; Marco Baroni; Luisa Bentivogli; Raffaella Bernardi; Roberto Zamparelli (LREC, 2014)

SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment. - Marco Marelli; Luisa Bentivogli; Marco Baroni; Raffaella Bernardi; Stefano Menini; Roberto Zamparelli (SemEval@COLING, 2014)

Distributional Semantics in Use. - Raffaella Bernardi; Gemma Boleda; Raquel Fernández; Denis Paperno (LSDSem@EMNLP, 2015)

Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation. - Angeliki Lazaridou; Dat Tien Nguyen; Raffaella Bernardi; Marco Baroni (CoRR, 2015)

The LAMBADA dataset: Word prediction requiring a broad discourse context. - Denis Paperno; Germán Kruszewski; Angeliki Lazaridou; Quan Ngoc Pham; Raffaella Bernardi; Sandro Pezzelle; Marco Baroni; Gemma Boleda; Raquel Fernández (ACL (1), 2016)

Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision. - Sandro Pezzelle; Ravi Shekhar; Raffaella Bernardi (VL@ACL, 2016)

"Look, some Green Circles!": Learning to Quantify from Images. - Ionut Sorodoc; Angeliki Lazaridou; Gemma Boleda; Aurélie Herbelot; Sandro Pezzelle; Raffaella Bernardi (VL@ACL, 2016)

Imparare a Quantificare Guardando (Learning to Quantify by Watching). - Sandro Pezzelle; Ionut Sorodoc; Aurélie Herbelot; Raffaella Bernardi (CLiC-it/EVALITA, 2016)

There Is No Logical Negation Here, But There Are Alternatives: Modeling Conversational Negation with Distributional Semantics. - Germán Kruszewski; Denis Paperno; Raffaella Bernardi; Marco Baroni (Comput. Linguistics, 2016)

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures. - Raffaella Bernardi; Ruket Çakici; Desmond Elliott; Aykut Erdem; Erkut Erdem; Nazli Ikizler-Cinbis; Frank Keller; Adrian Muscat; Barbara Plank (J. Artif. Intell. Res., 2016)

SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. - Luisa Bentivogli; Raffaella Bernardi; Marco Marelli; Stefano Menini; Marco Baroni; Roberto Zamparelli (Lang. Resour. Evaluation, 2016)

FOIL it! Find One mismatch between Image and Language caption. - Ravi Shekhar; Sandro Pezzelle; Yauhen Klimovich; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (ACL (1), 2017)

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision. - Sandro Pezzelle; Marco Marelli; Raffaella Bernardi (EACL (2), 2017)

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract). - Raffaella Bernardi; Ruket Çakici; Desmond Elliott; Aykut Erdem; Erkut Erdem; Nazli Ikizler-Cinbis; Frank Keller; Adrian Muscat; Barbara Plank (IJCAI, 2017)

Vision and Language Integration: Moving beyond Objects. - Ravi Shekhar; Sandro Pezzelle; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (IWCS(2), 2017)

Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision. - David Addison Smith; Sandro Pezzelle; Francesca Franzon; Chiara Zanini; Raffaella Bernardi (IWCS(2), 2017)

Pay Attention to Those Sets! Learning Quantification from Images. - Ionut Sorodoc; Sandro Pezzelle; Aurélie Herbelot; Mariella Dimiccoli; Raffaella Bernardi (CoRR, 2017)

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. - Sandro Pezzelle; Shane Steinert-Threlkeld; Raffaella Bernardi; Jakub Szymanik (ACL (2), 2018)

A Distributional Study of Negated Adjectives and Antonyms. - Laura Aina; Raffaella Bernardi; Raquel Fernández (CLiC-it, 2018)

Ask No More: Deciding when to guess in referential visual dialogue. - Ravi Shekhar; Tim Baumgärtner; Aashish Venkatesh; Elia Bruni; Raffaella Bernardi; Raquel Fernández (COLING, 2018)

Grounded Textual Entailment. - Hoa Trong Vu; Claudio Greco 002; Aliia Erofeeva; Somayeh Jafaritazehjan; Guido Linders; Marc Tanti; Alberto Testoni; Raffaella Bernardi; Albert Gatt (COLING, 2018)

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision. - Sandro Pezzelle; Ionut-Teodor Sorodoc; Raffaella Bernardi (NAACL-HLT, 2018)

Jointly Learning to See, Ask, and GuessWhat. - Aashish Venkatesh; Ravi Shekhar; Tim Baumgärtner; Elia Bruni; Raffaella Bernardi; Raquel Fernández (CoRR, 2018)

Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering. - Claudio Greco 002; Barbara Plank; Raquel Fernández; Raffaella Bernardi (ACL (1), 2019)

Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat. - Ravi Shekhar; Alberto Testoni; Raquel Fernández; Raffaella Bernardi (CLiC-it, 2019)

Evaluating the Representational Hub of Language and Vision Models. - Ravi Shekhar; Ece Takmaz; Raquel Fernández; Raffaella Bernardi (IWCS (1), 2019)

Measuring Catastrophic Forgetting in Visual Question Answering. - Claudio Greco 002; Barbara Plank; Raquel Fernández; Raffaella Bernardi (IWSDS, 2019)

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat. - Ravi Shekhar; Aashish Venkatesh; Tim Baumgärtner; Elia Bruni; Barbara Plank; Raffaella Bernardi; Raquel Fernández (NAACL-HLT (1), 2019)

Representation of sentence meaning (A JNLE Special Issue). - Ondrej Bojar; Raffaella Bernardi; Bonnie Nash-Webber (Nat. Lang. Eng., 2019)

Which Turn do Neural Models Exploit the Most to Solve GuessWhat? Diving into the Dialogue History Encoding in Transformers and LSTMs. - Claudio Greco 002; Alberto Testoni; Raffaella Bernardi (NL4AI@AI*IA, 2020)

Grounding Dialogue History: Strengths and Weaknesses of Pre-trained Transformers. - Claudio Greco 002; Alberto Testoni; Raffaella Bernardi (AI*IA, 2020)

Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions. - Eleonora Gualdoni; Raffaella Bernardi; Raquel Fernández; Sandro Pezzelle (CLiC-it, 2020)

Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training. - Alberto Testoni; Raffaella Bernardi (CLiC-it, 2020)

Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision. - Sandro Pezzelle; Claudio Greco 002; Greta Gandolfi; Eleonora Gualdoni; Raffaella Bernardi (EMNLP (Findings), 2020)

"I've Seen Things You People Wouldn't Believe": Hallucinating Entities in GuessWhat?! - Alberto Testoni; Raffaella Bernardi (ACL (student), 2021)

The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues. - Alberto Testoni; Raffaella Bernardi (EACL, 2021)

Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy. - Alberto Testoni; Raffaella Bernardi (EMNLP (1), 2021)

Artificial Intelligence Models Do Not Ground Negation, Humans Do. GuessWhat?! Dialogues as a Case Study. - Alberto Testoni; Claudio Greco 002; Raffaella Bernardi (Frontiers Big Data, 2021)

Linguistic issues behind visual question answering. - Raffaella Bernardi; Sandro Pezzelle (Lang. Linguistics Compass, 2021)

Probability Distributions as a Litmus Test to Inspect NNs Grounding Skills. - Alex J. Lucassen; Alberto Testoni; Raffaella Bernardi (NL4AI@AI*IA, 2022)

ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments. - Michael Hanna 001; Federico Pedeni; Alessandro Suglia; Alberto Testoni; Raffaella Bernardi (COLING, 2022)

The Inherence of Telicity: Unveiling Temporal Reasoning in Video Question Answering. - Olga Loginova; Raffaella Bernardi (CLiC-it, 2023)

ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game. - Leonardo Bertolazzi; Davide Mazzaccara; Filippo Merlo; Raffaella Bernardi (INLG, 2023)

She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener. - Claudio Greco 002; Diksha Bagade; Dieu-Thu Le; Raffaella Bernardi (Frontiers Artif. Intell., 2023)

The Efficiency of Question-Asking Strategies in a Real-World Visual Search Task. - Alberto Testoni; Raffaella Bernardi; Azzurra Ruggeri (Cogn. Sci., 2023)

A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences. - Leonardo Bertolazzi; Albert Gatt; Raffaella Bernardi (EMNLP, 2024)

Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain. - Davide Mazzaccara; Alberto Testoni; Raffaella Bernardi (EMNLP (Findings), 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

Human in the Loop Learning through Grounded Interaction in Games (Dagstuhl Perspectives Workshop 24492). - Raffaella Bernardi; Julia Hockenmaier; Udo Kruschwitz; Prashant Jayannavar; Massimo Poesio (Dagstuhl Reports, 2024)

The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It. - Leonardo Bertolazzi; Philipp Mondorf; Barbara Plank; Raffaella Bernardi (CoRR, 2025)

Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests. - Filippo Momentè; Alessandro Suglia; Mario Giulianelli; Ambra Ferrari; Alexander Koller; Oliver Lemon; David Schlangen; Raquel Fernández; Raffaella Bernardi (CoRR, 2025)

All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark. - Davide Testa; Giovanni Bonetta; Raffaella Bernardi; Alessandro Bondielli; Alessandro Lenci; Alessio Miaschi; Lucia C. Passaro; Bernardo Magnini (CoRR, 2025)

Playpen: An Environment for Exploring Learning Through Conversational Interaction. - Nicola Horst; Davide Mazzaccara; Antonia Schmidt; Michael Sullivan; Filippo Momentè; Luca Franceschetti; Philipp Sadler; Sherzod Hakimov; Alberto Testoni; Raffaella Bernardi; Raquel Fernández; Alexander Koller; et al. (CoRR, 2025)

A MIND for Reasoning: Meta-learning for In-context Deduction. - Leonardo Bertolazzi; Manuel Vargas Guzmán 001; Raffaella Bernardi; Maciej Malicki; Jakub Szymanik (CoRR, 2025)

Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. - Emmanouil Zaranis; António Farinhas; Saul José Rodrigues dos Santos; Beatriz Canaverde; Miguel Moura Ramos; Aditya K. Surikuchi; André Viveiros; Baohao Liao; Elena Belén Bueno-Benito; Nithin Sivakumaran; Pavlo Vasylenko; Shoubin Yu; et al. (CoRR, 2025)