Noisy Text Data: Achilles’ Heel of BERT (original) (raw)

User Generated Data: Achilles' heel of BERT

Piyush Makhija

ArXiv, 2020

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Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet

Victor Makarenkov

2020

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SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain

Linh Bảo

2020

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TiltedBERT: Resource Adjustable Version of BERT

Mohammad Sharifkhani

2022

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UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information

Harish Tayyar Madabushi

2020

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BERT: A Review of Applications in Sentiment Analysis

Shohel Sayeed

HighTech and Innovation Journal

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DocBERT: BERT for Document Classification

C Mih

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Active Learning for BERT: An Empirical Study

Liat Ein-Dor

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT

Rupak Kumar Das

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Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data

Harish Tayyar Madabushi

arXiv (Cornell University), 2020

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Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data

Harish Tayyar Madabushi

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda

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RoBERTa: A Robustly Optimized BERT Pretraining Approach

Naman Goyal

arXiv (Cornell University), 2019

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ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples

Changki Lee

Proceedings of the 13th International Workshop on Semantic Evaluation

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BERT-Based Sentiment Analysis: A Software Engineering Perspective

Sonali Agarwal

Lecture Notes in Computer Science, 2021

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BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data

Preslav Nakov

2021

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GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method

Maria Liakata

Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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Diagnosing BERT with Retrieval Heuristics

Arthur Câmara

Lecture Notes in Computer Science, 2020

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FireBERT: Hardening BERT-based classifiers against adversarial attack

Gunnar Mein

2020

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Utilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural Networks

Chancellor Woolsey

arXiv (Cornell University), 2024

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A Review on BERT and Its Implementation in Various NLP Tasks

ANKITA THOMBRE

Advances in computer science research, 2023

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A Primer in BERTology: What We Know About How BERT Works

Ольга Ковалева

Transactions of the Association for Computational Linguistics, 2020

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A BERT Framework to Sentiment Analysis of Tweets

ABAYOMI BELLO

Sensors

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On the Role of Text Preprocessing in BERT Embedding-based DNNs for Classifying Informal Texts

Lindung Parningotan Manik

International Journal of Advanced Computer Science and Applications (IJACSA), 2022

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Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

Melison Dylan

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ghostwriter19 @ ATE_ABSITA: Zero-Shot and ONNX to Speed up BERT on Sentiment Analysis Tasks at EVALITA 2020-

Mauro Bennici

Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, 2020

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Domain Effect Investigation for Bert Models Fine-Tuned on Different Text Categorization Tasks

Ferhat Bozkurt

Arabian Journal for Science and Engineering, 2023

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Rethinking of BERT Sentence Embedding for Text Classification

mona farouk

Research Square (Research Square), 2024

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Twitter Sentiment Analysis Using BERT

Saleh Mesbah

Twitter Sentiment Analysis Using BERT, 2021

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Fine-grained Sentiment Classification using BERT

Aakash Shrestha

2019 Artificial Intelligence for Transforming Business and Society (AITB), 2019

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Augmenting BERT Carefully with Underrepresented Linguistic Features

Jekaterina Novikova

arXiv (Cornell University), 2020

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LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?

Emily Öhman

2020

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An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Marco Pota

Sensors

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ghostwriter19 @ ATE_ABSITA: Zero-Shot and ONNX to Speed up BERT on Sentiment Analysis Tasks at EVALITA 2020 (short paper)

Mauro Bennici

2020

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BERT Probe: A python package for probing attention based robustness evaluation of BERT models

Mahnoor Shahid

Software Impacts

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