lyuchenyang

Macaw-LLM

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

Document-level-Sentiment-Analysis-with-User-and-Product-Context

Code for COLING 2020 paper "Improving Document-level Sentiment Analysis with User and Product Context"

Dialogue-to-Video-Retrieval

Code for ECIR 2023 paper "Dialogue-to-Video Retrieval"

Personalized-Sentiment-Analysis

Code for Findings of ACL 2023 paper "Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis"

Semantic-aware-VideoQA

Code for ACL SRW 2023 paepr "Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering"

Analysing-Question-Answering-Data

Code for the paper in ACL 2022 Workshop on Insights from Negative Results in NLP titled "Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains ".

Efficient-VideoQA

Code for ACL SustaiNLP 2023 paper "Is a Video worth n × n Images? A Highly Efficient Approach to Transformer-based Video Question Answering"

Improving-Unsupervised-Question-Answering-via-Summarization-Informed-Question-Generation

A basic implementation for paper "Improving Unsupervised Question Answering via Summarization-Informed Question Generation"

Investigating-the-Transferability-of-Sentiment-Analysis-Data-for-Evaluating-Rationales-of-Investors

Code for "DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors"

Probing-Analysing-Understanding-QA-Dataset-Papers

Unsupervised-Weakly-Supervised-QA-Papers

Paper list for unsupervised QA

GNNPapers

Must-read papers on graph neural networks (GNN)

lyuchenyang.github.io

NLP-progress

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.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

UnsupervisedQA

Unsupervised Question answering via Cloze Translation