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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | ReBERT- An Enhanced BERT |
| Authors Name: | Priyanka Shee , Santayo Kundu , Anirban Bhar , Moumita Ghosh |
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IJRTI_188286
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| Published Paper Id: | IJRTI2310067 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based language model that comprehends the context of words by considering surrounding words in both directions. It revolutionized natural language processing by capturing rich contextual information, enhancing performance in various language understanding tasks like sentiment analysis, text classification. In this article, focusing on User Generated Content (UGC) in a resource-scarce scenario, we study the ability of BERT (Devlinet al., 2018) to perform lexical normalization. by enhancing its architecture and by carefully finetuning it, we show that BERT can be a competitive lexical normalization model without the need of any UGC resources aside from 3,000 training sentences. The enhanced BERT model features a hierarchical contextualization module for improved long-range dependency understanding, a domain-specific adaptation layer for specialized language contexts, and efficiency optimization through dynamic attention head pruning and weight sharing. Fine-tuned pre-training broadens language comprehension, while task-specific heads enable fine-tuning. Rigorous evaluation and iterative refinement ensure performance enhancement across tasks, addressing limitations and advancing language understanding. It will be our first work done in adapting and analyzing the ability of this model to handle noisy UGC data. |
| Keywords: | BERT, NLP, User-Generated Content (UGC), Syntactic Parsing, Name-Entity Recognition |
| Cite Article: | "ReBERT- An Enhanced BERT", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.484 - 494, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310067.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2310067
Registration ID:188286
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 484 - 494 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310067 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310067 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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