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Elisabetta Fersini
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2020 – today
- 2024
- [c73]Fariha Maqbool
, Elisabetta Fersini:
A Contrastive Learning Based Approach to Detect Sexism in Memes. CLEF (Working Notes) 2024: 1091-1097 - [c72]Giulia Rizzi, David Gimeno-Gómez, Elisabetta Fersini, Carlos D. Martínez-Hinarejos:
PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes. CLEF (Working Notes) 2024: 1177-1186 - [c71]Ginevra Martinelli, Paola Impicciché, Elisabetta Fersini, Francesco Mambrini, Marco Passarotti:
Exploring Neural Topic Modeling on a Classical Latin Corpus. LREC/COLING 2024: 6929-6934 - [c70]Giulia Rizzi
Unraveling Disagreement Constituents in Hateful Speech. ECIR (4) 2024: 21-29 - [c69]Carlo Batini, Gaetano Santucci, Matteo Palmonari, Valerio Bellandi, Elisabetta Fersini, Fabio Zanzotto, Barbara Pernici, Giancarlo Vecchi, Stefano Ronchi:
Towards a Semantic Document Management System for Public Administration. Ital-IA 2024: 396-401 - [c68]Fariha Maqbool, Elisabetta Fersini:
Multimodal Hate Speech Detection in Memes from Mexico using BLIP. IberLEF@SEPLN 2024 - 2023
- [j21]Giulia Rizzi, Francesca Gasparini, Aurora Saibene, Paolo Rosso, Elisabetta Fersini
Recognizing misogynous memes: Biased models and tricky archetypes. Inf. Process. Manag. 60(5): 103474 (2023) - [j20]Silvia Terragni, Antonio Candelieri, Elisabetta Fersini:
The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality. Inf. Sci. 632: 252-268 (2023) - [c67]Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreement Regime. CLEF (Working Notes) 2023: 985-999 - [c66]Alessandro Astorino, Giulia Rizzi, Elisabetta Fersini:
Integrated Gradients as Proxy of Disagreement in Hateful Content. CLiC-it 2023 - [c65]Gianmaria Balducci, Giulia Rizzi, Elisabetta Fersini:
Bias Mitigation in Misogynous Meme Recognition: A Preliminary Study. CLiC-it 2023 - [c64]Reynier Ortega-Bueno
Cross-Domain and Cross-Language Irony Detection: The Impact of Bias on Models' Generalization. NLDB 2023: 140-155 - [c63]Elisabetta Fersini, Antonio Candelieri, Lorenzo Pastore:
On the Generalization of Projection-Based Gender Debiasing in Word Embedding. RANLP 2023: 336-343 - [c62]Giulia Rizzi, Alessandro Astorino, Daniel Scalena
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement. SemEval@ACL 2023: 556-564 - [i6]Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime. CoRR abs/2307.03385 (2023) - [i5]Daniel Scalena, Gabriele Sarti, Malvina Nissim, Elisabetta Fersini:
Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence. CoRR abs/2309.00751 (2023) - 2022
- [c61]Francesco Chiodo, Mario Torchia, Enza Messina, Elisabetta Fersini, Tommaso Mazza, Pietro Hiram Guzzi:
A novel framework based on network embedding for the simulation and analysis of disease progression. BIBM 2022: 1886-1890 - [c60]Janek Bevendorff, Berta Chulvi
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. CLEF 2022: 382-394 - [c59]Reynier Ortega Bueno, Berta Chulvi, Francisco Rangel, Paolo Rosso, Elisabetta Fersini:
Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO). Overview for PAN at CLEF 2022. CLEF (Working Notes) 2022: 2314-2343 - [c58]Janek Bevendorff, Berta Chulvi
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. ECIR (2) 2022: 331-338 - [c57]Elisabetta Fersini
Deep Attributed Graph Embeddings. MDAI 2022: 181-192 - [c56]Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, Aurora Saibene
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. SemEval@NAACL 2022: 533-549 - [i4]Silvia Terragni, Ismail Harrando, Pasquale Lisena, Raphaël Troncy, Elisabetta Fersini:
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization. CoRR abs/2202.07631 (2022) - 2021
- [j19]Debora Nozza
LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems. Inf. Process. Manag. 58(3): 102537 (2021) - [c55]Elisabetta Fersini
Misogynous MEME Recognition: A Preliminary Study. AI*IA 2021: 279-293 - [c54]Francisco Rangel, Gretel Liz De la Peña Sarracén, Berta Chulvi, Elisabetta Fersini, Paolo Rosso:
Profiling Hate Speech Spreaders on Twitter Task at PAN 2021. CLEF (Working Notes) 2021: 1772-1789 - [c53]Elisabetta Fersini, Luca Rosato, Antonio Candelieri, Francesco Archetti, Enza Messina:
Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss? CLiC-it 2021 - [c52]Silvia Terragni, Elisabetta Fersini:
OCTIS 2.0: Optimizing and Comparing Topic Models in Italian Is Even Simpler! CLiC-it 2021 - [c51]Silvia Terragni, Elisabetta Fersini, Bruno Giovanni Galuzzi, Pietro Tropeano, Antonio Candelieri:
OCTIS: Comparing and Optimizing Topic models is Simple! EACL (System Demonstrations) 2021: 263-270 - [c50]Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza
Cross-lingual Contextualized Topic Models with Zero-shot Learning. EACL 2021: 1676-1683 - [c49]Silvia Terragni
Word Embedding-Based Topic Similarity Measures. NLDB 2021: 33-45 - [c48]Lorenzo Famiglini
On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm. NLDB 2021: 178-186 - [c47]Silvia Terragni, Elisabetta Fersini:
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures. RANLP 2021: 1408-1416 - [e1]Elisabetta Fersini, Marco Passarotti, Viviana Patti:
Proceedings of the Eighth Italian Conference on Computational Linguistics, CLiC-it 2021, Milan, Italy, January 26-28, 2022. CEUR Workshop Proceedings 3033, CEUR-WS.org 2021 [contents] - [i3]Francesca Gasparini, Giulia Rizzi, Aurora Saibene
Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content. CoRR abs/2106.08409 (2021) - 2020
- [j18]Silvia Terragni
Constrained Relational Topic Models. Inf. Sci. 512: 581-594 (2020) - [j17]Debora Nozza
CAGE: Constrained deep Attributed Graph Embedding. Inf. Sci. 518: 56-70 (2020) - [c46]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 - [c45]Elisabetta Fersini, Justin Armanini, Michael D'Intorni:
Profiling Fake News Spreaders: Stylometry, Personality, Emotions and Embeddings. CLEF (Working Notes) 2020 - [c44]Elisabetta Fersini, Debora Nozza, Paolo Rosso:
AMI @ EVALITA2020: Automatic Misogyny Identification. EVALITA 2020 - [c43]Elisabetta Fersini, Debora Nozza, Giulia Boifava:
Profiling Italian Misogynist: An Empirical Study. ResTUP@LREC 2020: 9-13 - [c42]Mauro Maria Baldi
Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks. LOD (1) 2020: 285-296 - [i2]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
- [j16]Enza Messina
Computers & operations research. Comput. Oper. Res. 106: 154-155 (2019) - [j15]Silvia Corchs
Ensemble learning on visual and textual data for social image emotion classification. Int. J. Mach. Learn. Cybern. 10(8): 2057-2070 (2019) - [c41]Elisabetta Fersini, Francesca Gasparini, Silvia Corchs:
Detecting Sexist MEME On The Web: A Study on Textual and Visual Cues. ACII Workshops 2019: 226-231 - [c40]Debora Nozza
Word Embeddings for Unsupervised Named Entity Linking. KSEM (2) 2019: 115-132 - [c39]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 - [c38]Debora Nozza
Unintended Bias in Misogyny Detection. WI 2019: 149-155 - 2018
- [j14]Flavio Massimiliano Cecchini
A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework. Lang. Resour. Evaluation 52(3): 733-770 (2018) - [c37]Farah Benamara
SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data. DSAA 2018: 638-640 - [c36]Elisabetta Fersini, Debora Nozza, Paolo Rosso:
Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI). EVALITA@CLiC-it 2018 - [c35]Francesca Gasparini, Ilaria Erba, Elisabetta Fersini, Silvia Corchs:
Multimodal Classification of Sexist Advertisements. ICETE (1) 2018: 565-572 - [c34]Elisabetta Fersini, Pikakshi Manchanda, Enza Messina
Adapting Named Entity Types to New Ontologies in a Microblogging Environment. IEA/AIE 2018: 783-795 - [c33]Maria Anzovino, Elisabetta Fersini, Paolo Rosso:
Automatic Identification and Classification of Misogynistic Language on Twitter. NLDB 2018: 57-64 - [c32]Elisabetta Fersini, Paolo Rosso, Maria Anzovino:
Overview of the Task on Automatic Misogyny Identification at IberEval 2018. IberEval@SEPLN 2018: 214-228 - 2017
- [j13]Elisabetta Fersini, Enza Messina
Earthquake management: a decision support system based on natural language processing. J. Ambient Intell. Humaniz. Comput. 8(1): 37-45 (2017) - [j12]Elisabetta Fersini, Federico Alberto Pozzi, Enza Messina
Approval network: a novel approach for sentiment analysis in social networks. World Wide Web 20(4): 831-854 (2017) - [c31]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 - [c30]Debora Nozza, Elisabetta Fersini, Enza Messina:
A Multi-View Sentiment Corpus. EACL (1) 2017: 273-280 - [c29]Federico Bianchi
Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs. ESWC (1) 2017: 120-135 - [c28]Pikakshi Manchanda, Elisabetta Fersini, Matteo Palmonari, Debora Nozza
Towards adaptation of named entity classification. SAC 2017: 155-157 - 2016
- [j11]Elisabetta Fersini
Expressive signals in social media languages to improve polarity detection. Inf. Process. Manag. 52(1): 20-35 (2016) - [c27]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 - [c26]Debora Nozza
Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings. KDIR 2016: 68-76 - [c25]Debora Nozza, Elisabetta Fersini, Enza Messina:
Deep Learning and Ensemble Methods for Domain Adaptation. ICTAI 2016: 184-189 - [c24]Davide Caliano, Elisabetta Fersini, Pikakshi Manchanda, Matteo Palmonari, Enza Messina:
UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence. #Microposts 2016: 70-72 - 2015
- [j10]Soufiane El Jelali, Elisabetta Fersini
Legal retrieval as support to eMediation: matching disputant's case and court decisions. Artif. Intell. Law 23(1): 1-22 (2015) - [c23]Elisabetta Fersini
Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers. DSAA 2015: 1-8 - [c22]Flavio Massimiliano Cecchini, Elisabetta Fersini, Enza Messina:
Word Sense Discrimination on Tweets: A Graph-based Approach. KDIR 2015: 138-146 - [c21]Pikakshi Manchanda, Elisabetta Fersini, Matteo Palmonari:
Leveraging Entity Linking to Enhance Entity Recognition in Microblogs. KDIR 2015: 147-155 - [c20]Daniele Maccagnola, Elisabetta Fersini, Rabah Djennadi, Enza Messina:
Overlapping Kernel-based Community Detection with Node Attributes. KDIR 2015: 517-524 - 2014
- [j9]Elisabetta Fersini
A p-Median approach for predicting drug response in tumour cells. BMC Bioinform. 15: 353 (2014) - [j8]Elisabetta Fersini
Sentiment analysis: Bayesian Ensemble Learning. Decis. Support Syst. 68: 26-38 (2014) - [j7]Elisabetta Fersini
Soft-constrained inference for Named Entity Recognition. Inf. Process. Manag. 50(5): 807-819 (2014) - [c19]Elisabetta Fersini, Enza Messina, L. Manenti, Giuliana Bagnara, Soufiane El Jelali, Gaia Arosio:
eMediation - Towards Smart Online Dispute Resolution. KMIS 2014: 228-236 - 2013
- [j6]Elisabetta Fersini
Web Page Classification through Probabilistic Relational Models. Int. J. Pattern Recognit. Artif. Intell. 27(4) (2013) - [c18]Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Daniele Blanc:
Enhance Polarity Classification on Social Media through Sentiment-based Feature Expansion. WOA@AI*IA 2013: 78-84 - [c17]Federico Alberto Pozzi, Daniele Maccagnola, Elisabetta Fersini
Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations. AI*IA 2013: 133-144 - [c16]Elisabetta Fersini
Named Entities in Judicial Transcriptions: Extended Conditional Random Fields. CICLing (1) 2013: 317-328 - [c15]Gaia Arosio, Giuliana Bagnara, Nicola Capuano
Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems. JURIX 2013: 25-28 - [c14]Federico Alberto Pozzi, Elisabetta Fersini
Bayesian Model Averaging and Model Selection for Polarity Classification. NLDB 2013: 189-200 - [i1]Flavio Massimiliano Cecchini
Named entity recognition using conditional random fields with non-local relational constraints. CoRR abs/1310.1964 (2013) - 2012
- [j5]Elisabetta Fersini
Semantic storyboard of judicial debates: a novel multimedia summarization environment. Program 46(2): 199-219 (2012) - [j4]Elisabetta Fersini
Emotional states in judicial courtrooms: An experimental investigation. Speech Commun. 54(1): 11-22 (2012) - [c13]Elisabetta Fersini
Discovering Gene-Drug Relationships for the Pharmacology of Cancer. IPMU (2) 2012: 117-126 - 2011
- [c12]Elisabetta Fersini
Improving the Effectiveness of Multimedia Summarization of Judicial Debates through Ontological Query Expansion. CAiSE Workshops 2011: 450-463 - 2010
- [j3]Elisabetta Fersini
A probabilistic relational approach for web document clustering. Inf. Process. Manag. 46(2): 117-130 (2010) - [j2]Elisabetta Fersini
Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. J. Math. Model. Algorithms 9(3): 275-289 (2010) - [c11]Elisabetta Fersini, Enza Messina, Daniele Toscani, Francesco Archetti, Mauro Cislaghi:
Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems. KMIS 2010: 51-60 - [c10]Elisabetta Fersini, Enza Messina, Francesco Archetti, Mauro Cislaghi:
Semantics and Machine Learning: A New Generation of Court Management Systems. IC3K 2010: 382-398 - [c9]Elisabetta Fersini
Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders. ICDM 2010: 237-247 - [c8]Elisabetta Fersini
Web Page Classification: A Probabilistic Model with Relational Uncertainty. IPMU 2010: 109-118
2000 – 2009
- 2009
- [c7]Elisabetta Fersini
Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification. Web Intelligence/IAT Workshops 2009: 139-142 - [c6]Elisabetta Fersini, Mauro Cislaghi, Roberto Mazzilli, Fabrizio Callegaro, Stefano Somaschini, Roberto Muscillo, Domenico Pellegrini:
Managing Knowledge Extraction and Retrieval from Multimedia Contents: a Case Study in Judicial Domain. ICT4Justice 2009: 1-12 - [c5]Elisabetta Fersini, Gaia Arosio, Enza Messina, Francesco Archetti, Daniele Toscani:
Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting. ICT4Justice 2009: 73-80 - [c4]Elisabetta Fersini
Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. MLDM 2009: 594-602 - 2008
- [j1]Elisabetta Fersini
Enhancing web page classification through image-block importance analysis. Inf. Process. Manag. 44(4): 1431-1447 (2008) - [c3]Francesco Archetti, Gaia Arosio, Elisabetta Fersini, Enza Messina:
Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain. ICT4Justice 2008 - [c2]Elisabetta Fersini
Granular modeling of web documents: impact on information retrieval systems. WIDM 2008: 111-118 - 2006
- [c1]Francesco Archetti, P. Campanelli, Elisabetta Fersini
A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means. FQAS 2006: 257-269
Coauthor Index
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last updated on 2024-10-09 21:32 CEST by the dblp team
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