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ORCIDGiannis Karamanolakis
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2020 – today
- 2024
[i13]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Interactive Machine Teaching by Labeling Rules and Instances. CoRR abs/2409.05199 (2024)- 2023
- [i12]Tejit Pabari, Beth Tellman, Giannis Karamanolakis, Mitchell Thomas, Max Mauerman, Eugene Wu, Upmanu Lall, Marco Tedesco, Michael S. Steckler, Paolo Colosio, Daniel E. Osgood, Melody Braun, Jens de Bruijn, Shammun Islam:
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance. CoRR abs/2312.14943 (2023) - 2022
- [b1]Giannis Karamanolakis:
Efficient Machine Teaching Frameworks for Natural Language Processing. Columbia University, USA, 2022 - [c12]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma
, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c11]Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah:
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding. NAACL-HLT 2022: 873-899 - [i11]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - 2021
- [c10]Ivy Cao, Zizhou Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Quantifying the Effects of COVID-19 on Restaurant Reviews. SocialNLP@NAACL 2021: 36-60 - [c9]Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. NAACL-HLT 2021: 845-863 - [i10]Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. CoRR abs/2104.05514 (2021) - [i9]Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah:
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding. CoRR abs/2108.12603 (2021) - 2020
- [c8]Giannis Karamanolakis, Jun Ma, Xin Luna Dong:
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. ACL 2020: 8489-8502 - [c7]Ziyi Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only. LOUHI@EMNLP 2020: 138-146 - [c6]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher. EMNLP (Findings) 2020: 3604-3622 - [c5]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [i8]Giannis Karamanolakis, Jun Ma, Xin Luna Dong:
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. CoRR abs/2004.13852 (2020) - [i7]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i6]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher. CoRR abs/2010.02562 (2020) - [i5]Ziyi Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only. CoRR abs/2010.05194 (2020)
2010 – 2019
- 2019
- [c4]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. W-NUT@EMNLP 2019: 1-10 - [c3]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training. EMNLP/IJCNLP (1) 2019: 4610-4620 - [i4]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training. CoRR abs/1909.00415 (2019) - [i3]Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. CoRR abs/1910.00054 (2019) - 2018
- [c2]Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogeneous Priors. DLRS@RecSys 2018: 10-14 - [i2]Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogenous Priors. CoRR abs/1807.06651 (2018) - 2016
- [c1]Giannis Karamanolakis, Elias Iosif, Athanasia Zlatintsi, Aggelos Pikrakis, Alexandros Potamianos:
Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings. INTERSPEECH 2016: 3658-3662 - [i1]Giannis Karamanolakis, Elias Iosif, Athanasia Zlatintsi, Aggelos Pikrakis, Alexandros Potamianos:
Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement. CoRR abs/1612.08391 (2016)
Coauthor Index
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last updated on 2024-10-10 21:19 CEST by the dblp team
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