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2020 – today
- 2024
[j6]Diego Gómez-Zará
, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos:
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150: 108014 (2024)- [c32]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 - [c31]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 - [i26]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) - [i25]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) - 2023
- [c30]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 - [c29]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 - [c28]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 - [i24]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) - [i23]Shuguang Chen, Leonardo Neves, Thamar Solorio:
Context-aware Adversarial Attack on Named Entity Recognition. CoRR abs/2309.08999 (2023) - [i22]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) - [i21]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
- [c27]Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
TimeLMs: Diachronic Language Models from Twitter. ACL (demo) 2022: 251-260 - [c26]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 - [c25]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri:
Twitter Topic Classification. COLING 2022: 3386-3400 - [c24]Shuguang Chen, Leonardo Neves, Thamar Solorio:
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. EMNLP 2022: 1827-1841 - [c23]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 - [c22]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 - [i20]Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados:
TimeLMs: Diachronic Language Models from Twitter. CoRR abs/2202.03829 (2022) - [i19]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) - [i18]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) - [i17]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri:
Twitter Topic Classification. CoRR abs/2209.09824 (2022) - [i16]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) - [i15]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) - [i14]Shuguang Chen, Leonardo Neves, Thamar Solorio:
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. CoRR abs/2210.07916 (2022) - 2021
- [j5]Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado:
Mutual Information and Quantum Discord in Quantum State Discrimination with a Fixed Rate of Inconclusive Outcomes. Entropy 23(1): 73 (2021) - [c21]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. AAAI 2021: 11015-11023 - [c20]Shuguang Chen, Leonardo Neves, Thamar Solorio:
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. SocialNLP@NAACL 2021: 163-169 - [c19]Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
Can images help recognize entities? A study of the role of images for Multimodal NER. W-NUT 2021: 87-96 - [c18]Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos:
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI 2021: 581:1-581:18 - [c17]Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah:
NED: Niche Detection in User Content Consumption Data. CIKM 2021: 627-637 - [c16]Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
Data Augmentation for Cross-Domain Named Entity Recognition. EMNLP (1) 2021: 5346-5356 - [c15]Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos:
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM 2021: 117-128 - [c14]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 - [i13]Shuguang Chen, Leonardo Neves, Thamar Solorio:
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. CoRR abs/2104.09742 (2021) - [i12]Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
Data Augmentation for Cross-Domain Named Entity Recognition. CoRR abs/2109.01758 (2021) - 2020
- [j4]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. 110: 422-439 (2020) - [c13]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) 2020: 372-379 - [c12]Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah:
Social Factors in Closed-Network Content Consumption. CIKM 2020: 595-604 - [c11]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 - [c10]Francesco Barbieri, José Camacho-Collados, Luis Espinosa Anke, Leonardo Neves:
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. EMNLP (Findings) 2020: 1644-1650 - [c9]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning from Explanations with Neural Execution Tree. ICLR 2020 - [c8]Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren:
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW 2020: 2166-2176 - [i11]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR abs/2004.07499 (2020) - [i10]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. CoRR abs/2006.06830 (2020) - [i9]Francesco Barbieri, José Camacho-Collados, Leonardo Neves, Luis Espinosa Anke:
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. CoRR abs/2010.12421 (2020) - [i8]Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition. CoRR abs/2010.12712 (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
- [j3]Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado:
Quantum Discord, Thermal Discord, and Entropy Generation in the Minimum Error Discrimination Strategy. Entropy 21(3): 263 (2019) - [c7]Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi:
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. NAACL-HLT (2) 2019: 157-165 - [i5]Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi:
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. CoRR abs/1903.12431 (2019) - [i4]Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren:
Neural Rule Grounding for Low-Resource Relation Extraction. CoRR abs/1909.02177 (2019) - [i3]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR abs/1911.01352 (2019) - 2018
- [j2]Leonardo Neves, Graciana Puentes:
Photonic Discrete-time Quantum Walks and Applications. Entropy 20(10): 731 (2018) - [c6]Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji:
Visual Attention Model for Name Tagging in Multimodal Social Media. ACL (1) 2018: 1990-1999 - [c5]Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Disambiguation for Noisy Social Media Posts. ACL (1) 2018: 2000-2008 - [c4]Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Recognition for Short Social Media Posts. NAACL-HLT 2018: 852-860 - [i2]Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Recognition for Short Social Media Posts. CoRR abs/1802.07862 (2018) - 2017
- [j1]Roger A. Kögler, Leonardo Neves:
Optimal probabilistic dense coding schemes. Quantum Inf. Process. 16(4): 92 (2017) - [c3]Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze:
Visual features for context-aware speech recognition. ICASSP 2017: 5020-5024 - [i1]Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze:
Visual Features for Context-Aware Speech Recognition. CoRR abs/1712.00489 (2017) - 2016
- [c2]Yun Wang, Leonardo Neves, Florian Metze:
Audio-based multimedia event detection using deep recurrent neural networks. ICASSP 2016: 2742-2746 - [c1]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC 2016: 59-63
Coauthor Index
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last updated on 2024-10-12 22:53 CEST by the dblp team
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