中文NER的那些事儿
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Updated
Sep 18, 2023 - Python
中文NER的那些事儿
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Essential NLP & ML, short & fast pure Python code
BERTMap: A BERT-Based Ontology Alignment System
Class for Aspect-term extraction and Aspect-based sentiment analysis with BERT and Adapters
A project based on Fine-tuned BERT to detect GLIBC vulnerabilities.
This repository contains code to reproduce the results in our paper "Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets".
bert文本多分类(情感分析)、bert-bilstm-crf序列标注任务(快递地址的序列标注任务)
A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
Crisis Dataset for Benchmarks Experiments
Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)
[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.
PyTorch code for paper, 'Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications', ACL'23
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