论文 | 会议 | 年份 | 阅读完成 | 适用 | 代码开源 | 数据集开源 | 备注 |
张超老师 http://chaozhang.org | |||||||
STREAMCUBE: Hierarchical Spatio-temporal Hashtag Clustering for Event Exploration over the Twitter Stream | ICDE | 2015 | |||||
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams | KDD | 2017 | YJH | Yes | NO | NO | GeoBurst等方法的进步版 |
Leveraging the Power of Informative Users for Local Event Detection | ASONAM | 2018 | YJH | YES | NO | No | 在KDD的方法上,增加了对用户信息的度量 |
pen-Schema Event Profiling for Massive News Corpora | CIKM | 2018 | YJH | NO | https://tonyyuango.github.io/tonyyuango.github.io/files/datacode.html | YES | 方法针对新闻预料等更为规整的数据集 |
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams | SIGIR | 2016 | zxl | Yes | https://github.com/franticnerd/geoburst & https://github.com/aditi098/GeoBurst | No | |
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Stream | TIST | 2017 | zxl | Yes | No | No | |
路透社 | |||||||
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter | CIKM | 2016 | zxl | Yes | No | No | 与电子所&张伟老师处理一致 |
tweetnlp https://meta-guide.com/natural-language/nlp/tweetnlp | |||||||
Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering | WWW | 2014 | LX | YES | YES | NO | https://github.com/heerme 推文数据获取code给了一个链接 |
A Participant-based Approach for Event Summarization Using Twitter Streams | NAACL | 2013 | |||||
A Simple Bayesian Modelling Approach to Event Extraction from Twitter | ACL | 2014 | |||||
dblp 关键词:event, 会议:NAACL-HIT,KDD,WWW,CIKM,AAAI,NAACL,EMNCL,EACL,COLING,SIGKDD,SIGIR,CL,TCL,时间:2017-今 | |||||||
SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. | NAACL | 2019 | SMY | ||||
Twevent: segment-based event detection from tweets | CIKM | 2012 | |||||
From Tweets to Wellness: Wellness Event Detection from Twitter Streams | AAAI | 2016 | |||||
Event Detection on Curated Tweet Streams | SIGIR | 2017 | |||||
Real-time Event Detection on Social Data Streams. | KDD | 2019 | |||||
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events | KDD | 2019 | SMY | ||||
An Extensible Event Extraction System With Cross-Media Event Resolution | KDD | 2018 | |||||
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting | WWW | 2019 | SMY | ||||
Event Detection using Hierarchical Multi-Aspect Attention | WWW | 2019 | SMY | ||||
GeoSensor: On-line Scalable Change and Event Detection over Big Data | WWW | 2018 | |||||
Detecting Personal Life Events from Twitter by Multi-Task LSTM | WWW | 2018 | |||||
Post Summarization of Microblogs of Sporting Events | WWW | 2017 | |||||
News Feature Extraction for Events on Social Network Platforms | WWW | 2017 | |||||
Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks | WWW | 2017 | |||||
An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks | WWW | 2017 | |||||
EVELIN: Exploration of Event and Entity Links in Implicit Networks | WWW | 2017 | |||||
An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media | CIKM | 2018 | |||||
Abnormal Event Detection via Heterogeneous Information Network Embedding | CIKM | 2018 | |||||
Predicting Personal Life Events from Streaming Social Content | CIKM | 2018 | |||||
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction | CIKM | 2018 | |||||
Finding Periodic Discrete Events in Noisy Streams | CIKM | 2017 | |||||
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts | CIKM | 2017 | |||||
Revealing the Hidden Links in Content Networks: An Application to Event Discovery. | CIKM | 2017 | |||||
Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation | CIKM | 2017 | |||||
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection | AAAI | 2019 | |||||
One for All: Neural Joint Modeling of Entities and Events | AAAI | 2019 | |||||
Event Detection via Gated Multilingual Attention Mechanism | AAAI | 2018 | |||||
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection | AAAI | 2018 | |||||
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction | AAAI | 2018 | |||||
Event Representations With Tensor-Based Compositions | AAAI | 2018 | |||||
An Event Reconstruction Tool for Conflict Monitoring Using Social Media | AAAI | 2017 | |||||
Joint Learning of Structural and Textual Features for Web Scale Event Extraction | AAAI | 2017 | |||||
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings | EACL | 2017 | |||||
Open-Domain Event Detection using Distant Supervision. | COLING | 2018 | |||||
A Lightweight Representation of News Events on Social Media | SIGIR | 2019 | |||||
Event Information Retrieval from Text | SIGIR | 2019 | |||||
A Domain-Independent and Multilingual Approach for Crisis Event Detection and Understanding | SIGIR | 2019 | |||||
BioNex: A System For Biomedical News Event Exploration | SIGIR | 2017 | |||||
Event Early Embedding: Predicting Event Volume Dynamics at Early Stage | SIGIR | 2017 |
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