There are 11 repositories under event-detection topic.
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 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?
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).
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
A python package for processing eye movement data
Papers from top conferences and journals for event extraction in recent years
Event Detection and Domain Adaptation with Convolutional Neural Networks
The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals.
RawHash is the first mechanism that can accurately and efficiently map raw nanopore signals to large reference genomes (e.g., a human reference genome) in real-time without using powerful computational resources (e.g., GPUs). Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440)
Python implementation of MABED (Mention-Anomaly-Based Event Detection)
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
A standardized, fair, and reproducible benchmark for evaluating event extraction approaches
Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora
This is a project of "Cybersecurity Event Detection with New and Re-emerging Words". (ASIACCS 2020)
Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.
PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".
SENTiVENT: Company-specific event detection in economic news
An unofficial code reproduction in the field of event extraction of EMNLP-19 paper "Event Detection with Multi-Order Graph Convolution and Aggregated Attention"
Python implementation of Embed2Detect for event detection in social media
The repository for the paper "Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection"
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts
[COLING2022] Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection