74 results on '"Nozza A"'
Search Results
2. A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation.
3. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.
4. MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection.
5. ferret: a Framework for Benchmarking Explainers on Transformers.
6. What about 'em'? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns.
7. The State of Profanity Obfuscation in Natural Language Processing Scientific Publications.
8. A Multi-dimensional study on Bias in Vision-Language models.
9. Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages.
10. XLM-EMO: Multilingual Emotion Prediction in Social Media Text.
11. MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities.
12. Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals.
13. Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection.
14. Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists.
15. EMit at EVALITA 2023: Overview of the Categorical Emotion Detection in Italian Social Media Task.
16. HODI at EVALITA 2023: Overview of the first Shared Task on Homotransphobia Detection in Italian.
17. Is It Really That Simple? Prompting Large Language Models for Automatic Text Simplification in Italian.
18. FEEL-IT: Emotion and Sentiment Classification for the Italian Language.
19. MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
20. HONEST: Measuring Hurtful Sentence Completion in Language Models.
21. Cross-lingual Contextualized Topic Models with Zero-shot Learning.
22. Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection.
23. Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models.
24. Profiling Italian Misogynist: An Empirical Study.
25. Unintended Bias in Misogyny Detection.
26. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter.
27. Word Embeddings for Unsupervised Named Entity Linking.
28. AMI @ EVALITA2020: Automatic Misogyny Identification.
29. Adapting Named Entity Types to New Ontologies in a Microblogging Environment.
30. Towards Encoding Time in Text-Based Entity Embeddings.
31. Mapping Natural Language Labels to Structured Web Resources.
32. TWINE: A real-time system for TWeet analysis via INformation Extraction.
33. A Multi-View Sentiment Corpus.
34. Deep Learning and Ensemble Methods for Domain Adaptation.
35. Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings.
36. Towards adaptation of named entity classification.
37. Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI).
38. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
39. A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks.
40. MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection
41. A Multi-dimensional study on Bias in Vision-Language models
42. What about “em”? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns
43. Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech
44. A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
45. The State of Profanity Obfuscation in Natural Language Processing Scientific Publications
46. UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets.
47. Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection
48. Pipelines for Social Bias Testing of Large Language Models
49. Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection
50. MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
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