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pro vyhledávání: '"Timmapathini, Hari Prasad"'
The advent of Large Language Models (LLM) has revolutionized the field of natural language processing, enabling significant progress in various applications. One key area of interest is the construction of Knowledge Bases (KB) using these powerful mo
Externí odkaz:
http://arxiv.org/abs/2308.13207
With the advent of strong pre-trained natural language processing models like BERT, DeBERTa, MiniLM, T5, the data requirement for industries to fine-tune these models to their niche use cases has drastically reduced (typically to a few hundred annota
Externí odkaz:
http://arxiv.org/abs/2302.06951
While transfer learning has become a ubiquitous technique used across Natural Language Processing (NLP) tasks, it is often unable to replicate the performance of pre-trained models on text of niche domains like Automotive. In this paper we aim to und
Externí odkaz:
http://arxiv.org/abs/2112.00283
Linguistic Acceptability is the task of determining whether a sentence is grammatical or ungrammatical. It has applications in several use cases like Question-Answering, Natural Language Generation, Neural Machine Translation, where grammatical corre
Externí odkaz:
http://arxiv.org/abs/2106.07349