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Zeeshan Ali Sayyed
Zeeshan Ali Sayyed
Geverifieerd e-mailadres voor bloomberg.net
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Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP
JT Wolohan, M Hiraga, A Mukherjee, ZA Sayyed, M Millard
Proceedings of the First International Workshop on Language Cognition and …, 2018
1072018
To use or not to use: Feature selection for sentiment analysis of highly imbalanced data
S Kübler, C Liu, ZA Sayyed
Natural Language Engineering 24 (1), 3-37, 2018
212018
IDS IUCL: Investigating Feature Selection and Oversampling for GermEval2017
ZA Sayyed, D Dakota, S Kübler
Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, 43, 2017
82017
Study of sampling methods in sentiment analysis of imbalanced data
ZA Sayyed
arXiv preprint arXiv:2106.06673, 2021
52021
Arabic-SOS: Segmentation, Stemming, and Orthography Standardization for Classical and pre-Modern Standard Arabic
E Mohamed, ZA Sayyed
Proceedings of the 3rd International Conference on Digital Access to Textual …, 2019
42019
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD
ZA Sayyed, D Dakota
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
32021
Bidirectional Domain Adaptation Using Weighted Multi-Task Learning
D Dakota, ZA Sayyed, S Kübler
Proceedings of the 17th International Conference on Parsing Technologies and …, 2021
22021
Multi-Task Learning for Morpho-Syntactic Analysis and Parsing
ZA Sayyed
Indiana University, 2021
2021
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Artikelen 1–8