Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

A python library for social event detection

A list of NLP resources focused on event extraction task

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

A comprehensive, unified and modular event extraction toolkit.

GolfDB is a video database for Golf Swing Sequencing, which involves detecting 8 golf swing events in trimmed golf swing videos. This repo demos the baseline model, SwingNet.

Applying Deep Learning Approaches to Volleyball Data

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).

[ACL 2021-Findings] Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading."

A python package for processing eye movement data

Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".

The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals (ICASSP 2021)

Segmentation based event detection from Tweets. Published at NAACL SRW 2019

Papers from top conferences and journals for event extraction in recent years

A standardized, fair, and reproducible benchmark for evaluating event extraction approaches

RawHash can accurately and efficiently map raw nanopore signals to reference genomes of varying sizes (e.g., from viral to a human genomes) in real-time without basecalling. Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440).

Event Detection and Domain Adaptation with Convolutional Neural Networks

🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.