[PDF][PDF] PAL-BERT: an improved question answering model
In the field of natural language processing (NLP), there have been various pre-training
language models in recent years, with question answering systems gaining significant …
language models in recent years, with question answering systems gaining significant …
Using context-to-vector with graph retrofitting to improve word embeddings
Although contextualized embeddings generated from large-scale pre-trained models
perform well in many tasks, traditional static embeddings (eg, Skip-gram, Word2Vec) still …
perform well in many tasks, traditional static embeddings (eg, Skip-gram, Word2Vec) still …
Unsupervised simplification of legal texts
The processing of legal texts has been developing as an emerging field in natural language
processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in …
processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in …
Distilling semantic concept embeddings from contrastively fine-tuned language models
Learning vectors that capture the meaning of concepts remains a fundamental challenge.
Somewhat surprisingly, perhaps, pre-trained language models have thus far only enabled …
Somewhat surprisingly, perhaps, pre-trained language models have thus far only enabled …
Semglove: Semantic co-occurrences for glove from bert
GloVe learns word embeddings by leveraging statistical information from word co-
occurrence matrices. However, word pairs in the matrices are extracted from a predefined …
occurrence matrices. However, word pairs in the matrices are extracted from a predefined …
Intelligent detection on construction project contract missing clauses based on deep learning and NLP
H Zhou, B Gao, S Tang, B Li, S Wang - Engineering, Construction and …, 2023 - emerald.com
Purpose The number of construction dispute cases has maintained a high growth trend in
recent years. The effective exploration and management of construction contract risk can …
recent years. The effective exploration and management of construction contract risk can …
A study on the effects of language and visual art integrated teaching on language learning performance and satisfaction of ethnic minority students in China
Y Zhang, S Jia - Frontiers in Psychology, 2022 - frontiersin.org
Innovative technological products are present in students' environments. Information
explosion and popularity are affecting their thoughts, and there is a large amount of …
explosion and popularity are affecting their thoughts, and there is a large amount of …
FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation
Y Zhang, Y Liu, J Zhu, Z Chen, F Zhang - Expert Systems with Applications, 2025 - Elsevier
Most Chinese word representation approaches mine the lexeme of Chinese words by
predicting the target word or the contextual words. However, Chinese words may have …
predicting the target word or the contextual words. However, Chinese words may have …
[HTML][HTML] An efficient method for disaster tweets classification using gradient-based optimized convolutional neural networks with BERT embeddings
D Dharrao, MR Aadithyanarayanan, R Mital, A Vengali… - MethodsX, 2024 - Elsevier
Event of the disastrous scenarios are actively discussed on microblogging platforms like
Twitter which can lead to chaotic situations. In the era of machine learning and deep …
Twitter which can lead to chaotic situations. In the era of machine learning and deep …
SGAN-SAM-ERNIE: A Novel and Effective Detection Scheme for Chinese Fake Reviews
M Zhang, Y Zhang, X Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
Online reviews play a pivotal role in shaping consumer decisions on e-commerce platforms
and social media. Ensuring the authenticity and effectiveness of these reviews is essential …
and social media. Ensuring the authenticity and effectiveness of these reviews is essential …