Giannis Karamanolakis

According to our database, Giannis Karamanolakis authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance.

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

CoRR, 2023

2022

Efficient Machine Teaching Frameworks for Natural Language Processing

Giannis Karamanolakis

PhD thesis, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

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

CoRR, 2022

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.

Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding.

Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah

CoRR, 2021

Self-Training with Weak Supervision.

Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Quantifying the Effects of COVID-19 on Restaurant Reviews.

Ivy Cao, Zizhou Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher.

Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories.

Giannis Karamanolakis, Jun Ma, Xin Luna Dong

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only.

Ziyi Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2019

Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training.

Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health.

Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018

Item Recommendation with Variational Autoencoders and Heterogenous Priors.

Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara

CoRR, 2018

Item Recommendation with Variational Autoencoders and Heterogeneous Priors.

Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

2016

Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement.

Giannis Karamanolakis, Elias Iosif, Athanasia Zlatintsi, Aggelos Pikrakis, Alexandros Potamianos

CoRR, 2016

Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings.

Giannis Karamanolakis, Elias Iosif, Athanasia Zlatintsi, Aggelos Pikrakis, Alexandros Potamianos

Proceedings of the Interspeech 2016, 2016