[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 …
Text classification using embeddings: a survey
Text classification results can be hindered when just the bag-of-words model is used for
representing features, because it ignores word order and senses, which can vary with the …
representing features, because it ignores word order and senses, which can vary with the …
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 …
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks
H Alachram, H Chereda, T Beißbarth, E Wingender… - PloS one, 2021 - journals.plos.org
Biomedical and life science literature is an essential way to publish experimental results.
With the rapid growth of the number of new publications, the amount of scientific knowledge …
With the rapid growth of the number of new publications, the amount of scientific knowledge …
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 …
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 crucial role in shaping consumer decisions on e-commerce platforms
and social media. Ensuring the authenticity and effectiveness of these reviews is paramount …
and social media. Ensuring the authenticity and effectiveness of these reviews is paramount …