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ORCIDDebora Nozza
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- affiliation: Bocconi University, Milan, Italy
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2020 – today
- 2024
[c40]Fabio Pernisi, Giuseppe Attanasio, Debora Nozza:
MONICA: Monitoring Coverage and Attitudes of Italian Measures in Response to COVID-19. CLiC-it 2024- [c39]Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat:
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP. EMNLP 2024: 21669-21691 - [i17]Mattia Setzu
, Marta Marchiori Manerba, Pasquale Minervini, Debora Nozza:
FairBelief - Assessing Harmful Beliefs in Language Models. CoRR abs/2402.17389 (2024) - [i16]Zehui Yu, Indira Sen, Dennis Assenmacher, Mattia Samory, Leon Fröhling, Christina Dahn, Debora Nozza, Claudia Wagner:
The Unseen Targets of Hate - A Systematic Review of Hateful Communication Datasets. CoRR abs/2405.08562 (2024) - 2023
- [j3]Debora Nozza, Lucia C. Passaro, Marco Polignano:
Special Issue NL4AI 2022: Workshop on natural language for artificial intelligence. Intelligenza Artificiale 17(2): 159-161 (2023) - [c38]Anne Lauscher, Debora Nozza, Ehm Miltersen, Archie Crowley, Dirk Hovy:
What about "em"? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns. ACL (1) 2023: 377-392 - [c37]Debora Nozza, Dirk Hovy:
The State of Profanity Obfuscation in Natural Language Processing Scientific Publications. ACL (Findings) 2023: 3897-3909 - [c36]Gabriele Ruggeri, Debora Nozza:
A Multi-dimensional study on Bias in Vision-Language models. ACL (Findings) 2023: 6445-6455 - [c35]Debora Nozza, Giuseppe Attanasio:
Is It Really That Simple? Prompting Large Language Models for Automatic Text Simplification in Italian. CLiC-it 2023 - [c34]Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza:
ferret: a Framework for Benchmarking Explainers on Transformers. EACL (System Demonstrations) 2023: 256-266 - [c33]Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher:
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. EMNLP 2023: 3996-4014 - [c32]Oscar Araque, Simona Frenda, Rachele Sprugnoli, Debora Nozza, Viviana Patti:
EMit at EVALITA 2023: Overview of the Categorical Emotion Detection in Italian Social Media Task. EVALITA 2023 - [c31]Debora Nozza, Alessandra Teresa Cignarella, Greta Damo, Tommaso Caselli, Viviana Patti:
HODI at EVALITA 2023: Overview of the first Shared Task on Homotransphobia Detection in Italian. EVALITA 2023 - [c30]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT 2023: 1493-1504 - [c29]Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza, Dirk Hovy:
MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection. SemEval@ACL 2023: 2067-2074 - [p1]Federico Bianchi, Tommaso Fornaciari, Dirk Hovy, Debora Nozza:
Gender and Age Bias in Commercial Machine Translation. Towards Responsible Machine Translation 2023: 159-184 - [i15]Anne Lauscher, Debora Nozza, Archie Crowley, Ehm Miltersen, Dirk Hovy:
What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns. CoRR abs/2305.16051 (2023) - [i14]Flor Miriam Plaza del Arco, Debora Nozza, Dirk Hovy:
Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification. CoRR abs/2307.12973 (2023) - [i13]Helena Bonaldi, Giuseppe Attanasio, Debora Nozza, Marco Guerini:
Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization. CoRR abs/2309.02311 (2023) - [i12]Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher:
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. CoRR abs/2310.12127 (2023) - 2022
- [c28]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. ACL (Findings) 2022: 1105-1119 - [c27]Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy:
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. EMNLP 2022: 5674-5691 - [c26]Debora Nozza, Federico Bianchi, Anne Lauscher, Dirk Hovy:
Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. LT-EDI 2022: 26-34 - [c25]Debora Nozza:
Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection. LT-EDI 2022: 258-264 - [c24]Giuseppe Attanasio, Debora Nozza, Federico Bianchi:
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities. SemEval@NAACL 2022: 654-662 - [c23]Federico Bianchi, Debora Nozza, Dirk Hovy:
XLM-EMO: Multilingual Emotion Prediction in Social Media Text. WASSA@ACL 2022: 195-203 - [e1]Debora Nozza, Lucia C. Passaro, Marco Polignano:
Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI 2022) co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Udine, November 30th, 2022. CEUR Workshop Proceedings 3287, CEUR-WS.org 2022 [contents] - [i11]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. CoRR abs/2203.09192 (2022) - [i10]Paul Röttger, Haitham Seelawi, Debora Nozza, Zeerak Talat, Bertie Vidgen:
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models. CoRR abs/2206.09917 (2022) - [i9]Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza:
ferret: a Framework for Benchmarking Explainers on Transformers. CoRR abs/2208.01575 (2022) - [i8]Giuseppe Attanasio, Debora Nozza, Federico Bianchi, Dirk Hovy:
Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training. CoRR abs/2210.07365 (2022) - [i7]Debora Nozza, Dirk Hovy:
The State of Profanity Obfuscation in Natural Language Processing. CoRR abs/2210.07595 (2022) - [i6]Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy:
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. CoRR abs/2210.11359 (2022) - [i5]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR abs/2211.03759 (2022) - [i4]Samia Touileb, Debora Nozza:
Measuring Harmful Representations in Scandinavian Language Models. CoRR abs/2211.11678 (2022) - 2021
- [j2]Debora Nozza, Pikakshi Manchanda, Elisabetta Fersini, Matteo Palmonari, Enza Messina:
LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems. Inf. Process. Manag. 58(3): 102537 (2021) - [c22]Debora Nozza:
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection. ACL/IJCNLP (2) 2021: 907-914 - [c21]Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini:
Cross-lingual Contextualized Topic Models with Zero-shot Learning. EACL 2021: 1676-1683 - [c20]Debora Nozza, Federico Bianchi, Dirk Hovy:
HONEST: Measuring Hurtful Sentence Completion in Language Models. NAACL-HLT 2021: 2398-2406 - [c19]Federico Bianchi, Debora Nozza, Dirk Hovy:
FEEL-IT: Emotion and Sentiment Classification for the Italian Language. WASSA@EACL 2021: 76-83 - [c18]Tommaso Fornaciari, Federico Bianchi, Debora Nozza, Dirk Hovy:
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? WASSA@EACL 2021: 269-273 - [i3]Federico Bianchi, Debora Nozza, Dirk Hovy:
Language Invariant Properties in Natural Language Processing. CoRR abs/2109.13037 (2021) - 2020
- [j1]Debora Nozza, Elisabetta Fersini, Enza Messina:
CAGE: Constrained deep Attributed Graph Embedding. Inf. Sci. 518: 56-70 (2020) - [c17]Silvia Terragni, Debora Nozza, Elisabetta Fersini, Enza Messina:
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models. Insights 2020: 32-40 - [c16]Elisabetta Fersini, Debora Nozza, Paolo Rosso:
AMI @ EVALITA2020: Automatic Misogyny Identification. EVALITA 2020 - [c15]Elisabetta Fersini, Debora Nozza, Giulia Boifava:
Profiling Italian Misogynist: An Empirical Study. ResTUP@LREC 2020: 9-13 - [i2]Debora Nozza, Federico Bianchi, Dirk Hovy:
What the [MASK]? Making Sense of Language-Specific BERT Models. CoRR abs/2003.02912 (2020) - [i1]Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini:
Cross-lingual Contextualized Topic Models with Zero-shot Learning. CoRR abs/2004.07737 (2020)
2010 – 2019
- 2019
- [c14]Debora Nozza, Cezar Sas, Elisabetta Fersini, Enza Messina:
Word Embeddings for Unsupervised Named Entity Linking. KSEM (2) 2019: 115-132 - [c13]Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, Manuela Sanguinetti:
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. SemEval@NAACL-HLT 2019: 54-63 - [c12]Debora Nozza, Claudia Volpetti, Elisabetta Fersini:
Unintended Bias in Misogyny Detection. WI 2019: 149-155 - 2018
- [b1]Debora Nozza:
Deep Learning for Feature Representation in Natural Language Processing. University of Milan, Italy, 2018 - [c11]Valerio Basile, Elena Cabrio, Fabien Gandon, Debora Nozza:
Mapping Natural Language Labels to Structured Web Resources. NL4AI@AI*IA 2018: 63-75 - [c10]Elisabetta Fersini, Debora Nozza, Paolo Rosso:
Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI). EVALITA@CLiC-it 2018 - [c9]Elisabetta Fersini, Pikakshi Manchanda, Enza Messina, Debora Nozza, Matteo Palmonari:
Adapting Named Entity Types to New Ontologies in a Microblogging Environment. IEA/AIE 2018: 783-795 - [c8]Federico Bianchi, Matteo Palmonari, Debora Nozza:
Towards Encoding Time in Text-Based Entity Embeddings. ISWC (1) 2018: 56-71 - 2017
- [c7]Debora Nozza, Fausto Ristagno, Matteo Palmonari, Elisabetta Fersini, Pikakshi Manchanda, Enza Messina:
TWINE: A real-time system for TWeet analysis via INformation Extraction. EACL (Software Demonstrations) 2017: 25-28 - [c6]Debora Nozza, Elisabetta Fersini, Enza Messina:
A Multi-View Sentiment Corpus. EACL (1) 2017: 273-280 - [c5]Pikakshi Manchanda, Elisabetta Fersini, Matteo Palmonari, Debora Nozza, Enza Messina:
Towards adaptation of named entity classification. SAC 2017: 155-157 - 2016
- [c4]Flavio Massimiliano Cecchini, Elisabetta Fersini, Pikakshi Manchanda, Enza Messina, Debora Nozza, Matteo Palmonari, Cezar Sas:
UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets. CLiC-it/EVALITA 2016 - [c3]Debora Nozza, Elisabetta Fersini, Enza Messina:
Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings. KDIR 2016: 68-76 - [c2]Debora Nozza, Elisabetta Fersini, Enza Messina:
Deep Learning and Ensemble Methods for Domain Adaptation. ICTAI 2016: 184-189 - 2014
- [c1]Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari:
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops 2014: 201-213
Coauthor Index
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