A Comparative Study of Using Pre|trained Language Models for ...

A Comparative Study of Using Pre-trained Language Models for ...

In this work, we study how to best make use of pre-trained language model-based methods for toxic comment classification and the performances of different pre- ...

A Comparative Study of Pretrained Language Models for Long ...

Discussion: Our pre-trained language models provide the bedrock for clinical NLP using long texts. We have made our source code available at ...

A comparative study of using pre-trained language models for toxic ...

However, there is a paucity in studies using such methods on toxic comment classification. In this work, we study how to best make use of pre-trained language ...

A Comparative Study of Using Pre-trained Language Models for ...

This study explores Pre-trained Language Models (PLMs) for Arabic mental health question answering using the novel MentalQA dataset.

A Comparative Study of Pretrained Language Models for Automated ...

A Comparative Study of Pretrained Language Models for Automated Essay Scoring with Adversarial Inputs ; Article #: ; Date of Conference: 16-19 November 2020 ; Date ...

Using Pre-Trained Language Models for Producing Counter ... - arXiv

We first present a comparative study to determine whether there is a particular Language Model (or class of LMs) and a particular decoding ...

[PDF] A Comparative Study of Using Pre-trained Language Models ...

It is proved that using a basic linear downstream structure outperforms complex ones such as CNN and BiLSTM and further fine-tuning a pre-trained language ...

A comparative study of pre-trained language models for named ...

In this study, we systematically investigated general and domain-specific pre-trained language models for NER in EC text using three clinical ...

A Comparative Study of Using Pre-trained Language Models for ...

Toxic comment classification models are often found biased toward identity terms which are terms characterizing a specific group of people such as "Muslim" and ...

comparative study of pretrained language models for long clinical text

We evaluate both language models using 10 baseline tasks including named entity recognition, question answering, natural language inference, and ...

A Comparison Study of Pre-trained Language Models for Chinese ...

Given the success of pre-trained Language Models (PLMs) and outperformance compared with feature-engineering-based machine learning models as well as ...

Comparative Evaluation of Pre-Trained Language Models ... - PubMed

Cross-Encoders, SentenceBERT, and ColBERT are algorithms based on pre-trained language models that use nuanced but computable vector representations of search ...

[PDF] Using Pre-Trained Language Models for Producing Counter ...

An extensive study on the use of pre-trained language models ... Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a ...

comparative study of pretrained language models for long clinical text

We evaluate both language models using 10 baseline tasks including named entity recognition, question answering, natural language inference, and document ...

(PDF) A comparative study of pre-trained language models for ...

Results Our evaluation results using tenfold cross-validation show that domain-specific transformer models achieved better performance than the general ...

A comparative study of pretrained language models for long clinical ...

DISCUSSION: Our pretrained language models provide the bedrock for clinical NLP using long texts. We have made our source code available at ...

A Comparative Study on Bias Metrics for Pre-trained Language ...

We survey the literature on fairness metrics for pre-trained language models and experimentally evaluate compatibility, including both biases in language models ...

Pre-trained language models evaluating themselves - ACL Anthology

Evaluating generated text received new attention with the introduction of model-based metrics in recent years. These new metrics have a higher correlation with ...

Comparison of pre-trained language models in terms of carbon ...

The results showed that the BERTurk (uncased, 128 k) language model on the dataset showed higher accuracy performance with a training time of 66 min compared to ...

Pretrained Transformer Language Models Versus ... - PubMed

For comparison, we also trained a bidirectional long short-term memory model with 7 different pretrained word embeddings as the input layer on ...