LI XIN

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Acceptance rates for the major AI conferences

[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

CUHK PhD Thesis Template

Aspect Term Extraction with History Attention and Selective Transformation (IJCAI 2018)

Neural Network based models for Aspect-Based Sentiment Analysis

Hybrid Convolutional Neural Network for sentiment strength prediction

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🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Efficient Large Language Models: A Survey

A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks

Relevance-Promoting Language Model for Short-Text Conversation (AAAI-2020)

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Neural Cross-Lingual Named Entity Recognition with Minimal Resources

Constituency Parsing with a Self-Attentive Encoder (ACL 2018)

Transfer learning algorithm TrAdaboost,coded by python

Transformer for abstractive summarization on cnn/daily-mail and gigawords

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Unsupervised text tokenizer for Neural Network-based text generation.

Sequence to Sequence Models with PyTorch

An open source framework for seq2seq models in PyTorch.

Implementation of machine learning algorithms by myself

NLP made easy

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

Some basic abstractive summarization models implemented in pytorch

list of infobox subjects in Wikipedia

Hierarchical Attention Networks for Document Classification in PyTorch

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Top Conference Timeline

Text classification using a convolutional neural network.