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2020 – today
- 2024
[c43]Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri:
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. ACL (Short Papers) 2024: 398-408- [c42]Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri:
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. ACL (1) 2024: 7025-7046 - [c41]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. ACL (1) 2024: 13851-13870 - [c40]Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, José Camacho-Collados:
Multilingual Topic Classification in X: Dataset and Analysis. EMNLP 2024: 20136-20152 - [c39]Qixiang Fang
, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch:
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR 2024: 2431-2436 - [i28]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. CoRR abs/2402.17753 (2024) - [i27]Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch:
USE: Dynamic User Modeling with Stateful Sequence Models. CoRR abs/2403.13344 (2024) - [i26]Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri:
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. CoRR abs/2406.04106 (2024) - [i25]Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, José Camacho-Collados:
Multilingual Topic Classification in X: Dataset and Analysis. CoRR abs/2410.03075 (2024) - [i24]Dimosthenis Antypas, Indira Sen, Carla Pérez-Almendros, José Camacho-Collados, Francesco Barbieri:
Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation. CoRR abs/2411.19832 (2024) - 2023
- [c38]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CHI 2023: 675:1-675:14 - [c37]Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados:
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. EMNLP (Findings) 2023: 12590-12607 - [c36]Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos:
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM 2023: 47-58 - [c35]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL 2023: 2235-2246 - [c34]Julie Jiang, Jesse Thomason, Francesco Barbieri, Emilio Ferrara:
Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter. WebSci 2023: 136-146 - [i23]Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter. CoRR abs/2308.02142 (2023) - [i22]Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos:
Context-Aware Prediction of User Engagement on Online Social Platforms. CoRR abs/2310.14533 (2023) - [i21]Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados:
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. CoRR abs/2310.14757 (2023) - [i20]Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri:
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. CoRR abs/2311.08711 (2023) - [i19]Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch:
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR abs/2312.12111 (2023) - 2022
- [c33]Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
TimeLMs: Diachronic Language Models from Twitter. ACL (demo) 2022: 251-260 - [c32]Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados:
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. COLING 2022: 3353-3359 - [c31]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri:
Twitter Topic Classification. COLING 2022: 3386-3400 - [c30]Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov:
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CVPR 2022: 3605-3615 - [c29]Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri:
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM 2022: 393-404 - [c28]Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados:
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. AACL/IJCNLP (1) 2022: 309-319 - [c27]Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados:
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond. LREC 2022: 258-266 - [i18]Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
TimeLMs: Diachronic Language Models from Twitter. CoRR abs/2202.03829 (2022) - [i17]Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov:
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CoRR abs/2203.02573 (2022) - [i16]José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Bührmann, Leonardo Neves, Francesco Barbieri:
TweetNLP: Cutting-Edge Natural Language Processing for Social Media. CoRR abs/2206.14774 (2022) - [i15]Julie Jiang, Jesse Thomason, Francesco Barbieri, Emilio Ferrara:
Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter. CoRR abs/2207.10887 (2022) - [i14]Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados:
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. CoRR abs/2209.07216 (2022) - [i13]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri:
Twitter Topic Classification. CoRR abs/2209.09824 (2022) - [i12]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR abs/2210.01108 (2022) - [i11]Asahi Ushio, Leonardo Neves, Vítor Silva, Francesco Barbieri, José Camacho-Collados:
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. CoRR abs/2210.03797 (2022) - [i10]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CoRR abs/2211.01426 (2022) - 2021
- [j4]Valerio Basile, Nicole Novielli, Danilo Croce, Francesco Barbieri, Malvina Nissim, Viviana Patti:
Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges. IEEE Trans. Affect. Comput. 12(2): 466-478 (2021) - [c26]Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren:
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL-HLT 2021: 3770-3783 - [i9]Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados:
XLM-T: A Multilingual Language Model Toolkit for Twitter. CoRR abs/2104.12250 (2021) - 2020
- [c25]Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. COLING 2020: 3652-3659 - [c24]Francesco Barbieri, José Camacho-Collados, Luis Espinosa Anke, Leonardo Neves:
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. EMNLP (Findings) 2020: 1644-1650 - [c23]José Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert:
Learning Cross-Lingual Word Embeddings from Twitter via Distant Supervision. ICWSM 2020: 72-82 - [i8]Francesco Barbieri, José Camacho-Collados, Leonardo Neves, Luis Espinosa Anke:
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. CoRR abs/2010.12421 (2020) - [i7]Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren:
Efficiently Mitigating Classification Bias via Transfer Learning. CoRR abs/2010.12864 (2020) - [i6]Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. CoRR abs/2011.01196 (2020)
2010 – 2019
- 2019
- [c22]Francesco Barbieri, Eric Guizzo, Federico Lucchesi, Giovanni Maffei, Fermín Moscoso del Prado Martín, Tillman Weyde:
Towards a Multimodal Time-Based Empathy Prediction System. FG 2019: 1-5 - [i5]José Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert:
Learning Cross-lingual Embeddings from Twitter via Distant Supervision. CoRR abs/1905.07358 (2019) - 2018
- [b1]Francesco Barbieri:
Machine learning methods for understanding social media communication: modeling irony and emojis. Pompeu Fabra University, Spain, 2018 - [j3]Sergio Oramas, Francesco Barbieri, Oriol Nieto, Xavier Serra:
Multimodal Deep Learning for Music Genre Classification. Trans. Int. Soc. Music. Inf. Retr. 1(1): 4-21 (2018) - [c21]Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados, Steven Schockaert, Horacio Saggion:
Interpretable Emoji Prediction via Label-Wise Attention LSTMs. EMNLP 2018: 4766-4771 - [c20]Francesco Ronzano, Francesco Barbieri, Endang Wahyu Pamungkas, Viviana Patti, Francesca Chiusaroli:
Overview of the EVALITA 2018 Italian Emoji Prediction (ITAMoji) Task. EVALITA@CLiC-it 2018 - [c19]Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion:
Multimodal Emoji Prediction. NAACL-HLT (2) 2018: 679-686 - [c18]Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, Luis Espinosa Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion:
SemEval 2018 Task 2: Multilingual Emoji Prediction. SemEval@NAACL-HLT 2018: 24-33 - [c17]Francesco Barbieri, José Camacho-Collados:
How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter. *SEM@NAACL-HLT 2018: 101-106 - [i4]Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion:
Multimodal Emoji Prediction. CoRR abs/1803.02392 (2018) - [i3]Francesco Barbieri, Luís Marujo, Pradeep Karuturi, William Brendel, Horacio Saggion:
Exploring Emoji Usage and Prediction Through a Temporal Variation Lens. CoRR abs/1805.00731 (2018) - 2017
- [c16]Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion:
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. NUT@EMNLP 2017: 11-20 - [c15]Francesco Barbieri, Miguel Ballesteros, Horacio Saggion:
Are Emojis Predictable? EACL (2) 2017: 105-111 - [c14]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features. ISMIR 2017: 23-30 - [c13]Francesco Barbieri:
Shared Task on Stance and Gender Detection in Tweets on Catalan Independence - LaSTUS System Description. IberEval@SEPLN 2017: 217-221 - [i2]Francesco Barbieri, Miguel Ballesteros, Horacio Saggion:
Are Emojis Predictable? CoRR abs/1702.07285 (2017) - [i1]Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra:
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features. CoRR abs/1707.04916 (2017) - 2016
- [c12]Francesco Barbieri, Luis Espinosa Anke, Horacio Saggion:
Revealing Patterns of Twitter Emoji Usage in Barcelona and Madrid. CCIA 2016: 239-244 - [c11]Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, Viviana Patti:
Overview of the Evalita 2016 SENTIment POLarity Classification Task. CLiC-it/EVALITA 2016 - [c10]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis. LREC 2016 - [c9]Francesco Barbieri, Germán Kruszewski, Francesco Ronzano, Horacio Saggion:
How Cosmopolitan Are Emojis?: Exploring Emojis Usage and Meaning over Different Languages with Distributional Semantics. ACM Multimedia 2016: 531-535 - 2015
- [j2]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
Is this Tweet Satirical? A Computational Approach for Satire Detection in Spanish. Proces. del Leng. Natural 55: 135-142 (2015) - [j1]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
Summarization and Information Extraction in your Tablet. Proces. del Leng. Natural 55: 203-206 (2015) - [c8]Iván Guerrero Román, Ben Verhoeven, Francesco Barbieri, Pedro Martins, Rafael Pérez y Pérez:
TheRiddlerBot: A next step on the ladder towards creative Twitter bots. ICCC 2015: 315-322 - [c7]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
Do We Criticise (and Laugh) in the Same Way? Automatic Detection of Multi-Lingual Satirical News in Twitter. IJCAI 2015: 1215-1221 - [c6]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian. RANLP 2015: 41-47 - [c5]Francesco Barbieri, Francesco Ronzano, Horacio Saggion:
UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter. SemEval@NAACL-HLT 2015: 704-708 - 2014
- [c4]Francesco Barbieri, Horacio Saggion:
Modelling Irony in Twitter. EACL 2014: 56-64 - [c3]Francesco Barbieri, Horacio Saggion:
Automatic Detection of Irony and Humour in Twitter. ICCC 2014: 155-162 - [c2]Francesco Barbieri, Horacio Saggion:
Modelling Irony in Twitter: Feature Analysis and Evaluation. LREC 2014: 4258-4264 - [c1]Francesco Barbieri, Horacio Saggion, Francesco Ronzano:
Modelling Sarcasm in Twitter, a Novel Approach. WASSA@ACL 2014: 50-58
Coauthor Index
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