Improving text mining in plant health domain with GAN and/or pre-trained language model
The Bidirectional Encoder Representations from Transformers (BERT) architecture offers a
cutting-edge approach to Natural Language Processing. It involves two steps: 1) pre-training …
cutting-edge approach to Natural Language Processing. It involves two steps: 1) pre-training …
Overview of PAR-MEX at Iberlef 2022: Paraphrase Detection in Spanish Shared Task
Paraphrase detection is an important unresolved task in natural language processing;
especially in the Spanish language. In order to address this issue, and contribute to the …
especially in the Spanish language. In order to address this issue, and contribute to the …
[PDF][PDF] MSF-Net: Multi-level Semantic Feature Network Extractor for Paraphrase Identification.
W Xue, Y Zhang, X Wang, S Ge - IAENG International Journal of …, 2023 - iaeng.org
To address inaccurate semantic representation and challenges in interpreting rare words
within deep learningbased paraphrase identification tasks, this paper introduces a multi …
within deep learningbased paraphrase identification tasks, this paper introduces a multi …
[PDF][PDF] Semi-supervised training for biomedical question answering.
The recently introduced semi-supervised method GANBERT for finetuning large language
models [1] has been applied for document relevance prediction in biomedical question …
models [1] has been applied for document relevance prediction in biomedical question …
Monolingual Paraphrase Detection Corpus for Low Resource Pashto Language at Sentence Level
Paraphrase detection is a task to identify if two sentences are semantically similar or not. It
plays an important role in maintaining the integrity of written work such as plagiarism …
plays an important role in maintaining the integrity of written work such as plagiarism …