https://arxiv.org/abs/2106.09462?utm_campaign=The%20Batch&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_SfDl09SZ_4IA1UMOY8ec-lV6bVDd6OPccTJTCoKiUIGXIdsMrYEv0YUO0B9VWQMY1uDXB
Abstract page for arXiv paper 2106.09462: pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
opinion miningpythontoolkit
https://www.graphcore.ai/posts/packedbert-how-to-accelerate-nlp-tasks-for-transformers-with-packing
Learn how to achieve 6x faster BERT fine-tuning and up to 12x faster batched inference with packing using a classification example
nlp tasksacceleratetransformerspacking
https://aclanthology.org/2021.acl-short.106/
Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and...
nlp taskslearningsolveincrementalnumber
https://www.educative.io/courses/exploring-the-hugging-face-inference-api-in-javascript/get-started-with-the-hugging-face-inference-api
Learn how to sign up, generate access tokens, and begin using the Hugging Face Inference API for text and image processing tasks.
start usinghugging faceinference apinlpcv
https://www.amazon.science/publications/tokenization-consistency-matters-for-generative-models-on-extractive-nlp-tasks
Generative models have been widely applied to solve extractive tasks, where parts of the input are extracted to form the desired output, and have achieved...
generative modelsnlp taskstokenizationconsistencymatters
https://aclanthology.org/D17-1206/
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing....
neural networkjointmanytaskmodel