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Erl-Ee: Bridging the Gap between Event Representation Learning and Event Extraction

https://doi.org/10.2139/ssrn.4772715
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-47887-6_48openalex-extracted
News Sensitive Stock Trend Prediction
inferredcites →https://doi.org/10.1007/978-94-007-7284-7_5openalex-extracted
Concrete Sentence Spaces for Compositional Distributional Models of Meaning
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1111/j.1468-0351.2005.00214.xopenalex-extracted
The impact of news, oil prices, and global market developments on Russian financial markets1
inferredcites →https://doi.org/10.1145/2339530.2339704openalex-extracted
Open domain event extraction from twitter
inferredcites →https://doi.org/10.1145/3366423.3380027openalex-extracted
Heterogeneous Graph Transformer
inferredcites →https://doi.org/10.1609/aaai.v25i2.18854openalex-extracted
The Stock Sonar — Sentiment Analysis of Stocks Based on a Hybrid Approach
inferredcites →https://doi.org/10.1609/aaai.v30i1.10344openalex-extracted
What Happens Next? Event Prediction Using a Compositional Neural Network Model
inferredcites →https://doi.org/10.1609/aaai.v30i1.10347openalex-extracted
Learning Statistical Scripts with LSTM Recurrent Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v31i1.11001openalex-extracted
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM
inferredcites →https://doi.org/10.1609/aaai.v32i1.11932openalex-extracted
Event Representations With Tensor-Based Compositions
inferredcites →https://doi.org/10.1609/aaai.v32i1.12034openalex-extracted
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction
inferredcites →https://doi.org/10.17863/cam.13202openalex-extracted
What Happens Next? Event Prediction Using a Compositional Neural Network Model
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.128openalex-extracted
Event Extraction as Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.49openalex-extracted
Event Extraction by Answering (Almost) Natural Questions
inferredcites →https://doi.org/10.18653/v1/d18-1156openalex-extracted
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
inferredcites →https://doi.org/10.18653/v1/d19-1495openalex-extracted
Event Representation Learning Enhanced with External Commonsense Knowledge
inferredcites →https://doi.org/10.18653/v1/d19-1585openalex-extracted
Entity, Relation, and Event Extraction with Contextualized Span Representations
inferredcites →https://doi.org/10.18653/v1/k16-1008openalex-extracted
Event Embeddings for Semantic Script Modeling
inferredcites →https://doi.org/10.18653/v1/n16-1034openalex-extracted
Joint Event Extraction via Recurrent Neural Networks
inferredcites →https://doi.org/10.18653/v1/p18-1201openalex-extracted
Zero-Shot Transfer Learning for Event Extraction
inferredcites →https://doi.org/10.2139/ssrn.517664openalex-extracted
The Impact of News, Oil Prices, and Global Market Developments on Russian Financial Markets
inferredcites →https://doi.org/10.3115/1629235.1629236openalex-extracted
The stages of event extraction
inferredcites →https://doi.org/10.3115/v1/d14-1148openalex-extracted
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
inferredcites →https://doi.org/10.3115/v1/p15-1017openalex-extracted
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-extracted
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1003.4394openalex-extracted
Mathematical Foundations for a Compositional Distributional Model of Meaning
inferredcites →https://doi.org/10.48550/arxiv.1312.5198openalex-extracted
Learning Semantic Script Knowledge with Event Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1512.08756openalex-extracted
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
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