Bin Liang (梁 斌)'s Projects
Improving AMR parsing with Sequence-to-Sequence Pre-training
Evaluation code for the Self-Annotated Reddit Corpus
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Sarcasm detection on tweets using neural network
[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
Multilingual Sentence & Image Embeddings with BERT
[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras
SimCSE: Simple Contrastive Learning of Sentence Embeddings
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
Stance Detection for the Fake News Challenge with Conditional Encoding and Attention LSTM, as Stanford CS224N class project by Stephen Pfohl, Oskar Triebe and Ferdinand Legros.
Advanced python library to scrap Twitter (tweets, users) from unofficial API, fully covered by integration tests
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"
Named Entity Recognition Tool
Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018
Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.
Graph Convolutional Networks for Text Classification. AAAI 2019
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
TextMate is a graphical text editor for macOS 10.12 or later
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)
Dataset and codes for our IJCAI 2019 paper "Adapting BERT for Target-Oriented Multimodal Sentiment Classification"
[WWW 2021] Target-adaptive Graph for Cross-target Stance Detection
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....
Zhuang Chen, Tieyun Qian: Transfer Capsule Network for Aspect Level Sentiment Classification. ACL 2019: 547-556
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch