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pro vyhledávání: '"Chawla, Avi"'
Autor:
Chawla, Avi
Reading Comprehension (RC) is a task of answering a question from a given passage or a set of passages. In the case of multiple passages, the task is to find the best possible answer to the question. Recent trials and experiments in the field of Natu
Externí odkaz:
http://arxiv.org/abs/2201.01706
The inception of modeling contextual information using models such as BERT, ELMo, and Flair has significantly improved representation learning for words. It has also given SOTA results in almost every NLP task - Machine Translation, Text Summarizatio
Externí odkaz:
http://arxiv.org/abs/2111.15436
Recent years of research in Natural Language Processing (NLP) have witnessed dramatic growth in training large models for generating context-aware language representations. In this regard, numerous NLP systems have leveraged the power of neural netwo
Externí odkaz:
http://arxiv.org/abs/2111.15417
Contextualized word embeddings (CWE) such as provided by ELMo (Peters et al., 2018), Flair NLP (Akbik et al., 2018), or BERT (Devlin et al., 2019) are a major recent innovation in NLP. CWEs provide semantic vector representations of words depending o
Externí odkaz:
http://arxiv.org/abs/1909.10430
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
Publikováno v:
Proceedings of the 1st Workshop on Multilingual Surface Realisation (MSR), 56th Annual Meeting of the Association for Computational Linguistics (ACL), July 2018, Melbourne, Australia
This paper describes our submission system for the Shallow Track of Surface Realization Shared Task 2018 (SRST'18). The task was to convert genuine UD structures, from which word order information had been removed and the tokens had been lemmatized,
Externí odkaz:
http://arxiv.org/abs/1904.06234
Autor:
Palo, Sasmita, Chawla, Avi
Publikováno v:
Indian Journal of Industrial Relations, 2015 Jul 01. 51(1), 150-161.
Externí odkaz:
http://www.jstor.org/stable/43974545