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Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen
|
Kyunghyun Cho
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Ralph Grishman
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Incremental Global Event Extraction
Alex Judea
|
Michael Strube
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Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen
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Nicolas Fauceglia
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Mariano Rodriguez Muro
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Oktie Hassanzadeh
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Alfio Massimiliano Gliozzo
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Mohammad Sadoghi
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Open-Domain Event Detection using Distant Supervision
Jun Araki
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Teruko Mitamura
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Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Minh Nguyen
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Thien Huu Nguyen
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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
Aldrian Obaja Muis
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Wei Lu
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Event Detection with Neural Networks: A Rigorous Empirical Evaluation
Walker Orr
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Prasad Tadepalli
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Xiaoli Fern
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Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Shaobo Liu
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Rui Cheng
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Xiaoming Yu
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Xueqi Cheng
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Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Xiao Liu
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Zhunchen Luo
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Heyan Huang
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Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
Yubo Chen
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Hang Yang
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Kang Liu
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Jun Zhao
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Yantao Jia
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Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Weiyi Lu
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Thien Huu Nguyen
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DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction
Heike Adel
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Laura Ana Maria Bostan
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Sean Papay
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Sebastian Padó
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Roman Klinger
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Exploiting Document Level Information to Improve Event Detection via Recurrent Neural Networks
Shaoyang Duan
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Ruifang He
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Wenli Zhao
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Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging
Boliang Zhang
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Di Lu
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Xiaoman Pan
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Ying Lin
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Halidanmu Abudukelimu
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Heng Ji
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Kevin Knight
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Event Argument Identification on Dependency Graphs with Bidirectional LSTMs
Alex Judea
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Michael Strube
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Semi-Supervised Event Extraction with Paraphrase Clusters
James Ferguson
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Colin Lockard
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Daniel Weld
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Hannaneh Hajishirzi
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Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang
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Tom Mitchell
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Adaptive Scaling for Sparse Detection in Information Extraction
Hongyu Lin
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Yaojie Lu
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Xianpei Han
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Le Sun
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Nugget Proposal Networks for Chinese Event Detection
Hongyu Lin
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Yaojie Lu
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Xianpei Han
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Le Sun
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Zero-Shot Transfer Learning for Event Extraction
Lifu Huang
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Heng Ji
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Kyunghyun Cho
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Ido Dagan
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Sebastian Riedel
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Clare Voss
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Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
Yue Zhao
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Xiaolong Jin
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Yuanzhuo Wang
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Xueqi Cheng
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DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
Hang Yang
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Yubo Chen
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Kang Liu
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Yang Xiao
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Jun Zhao
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NAI-SEA at SemEval-2018 Task 5: An Event Search System
Yingchi Liu
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Quanzhi Li
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Luo Si
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A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen
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Lisheng Fu
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Kyunghyun Cho
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Ralph Grishman
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Unsupervised Event Clustering and Aggregation from Newswire and Web Articles
Swen Ribeiro
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Olivier Ferret
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Xavier Tannier
|
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision
Philipp Meerkamp
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Zhengyi Zhou
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End-to-End Information Extraction without Token-Level Supervision
Rasmus Berg Palm
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Dirk Hovy
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Florian Laws
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Ole Winther
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Paths for uncertainty: Exploring the intricacies of uncertainty identification for news
Chrysoula Zerva
|
Sophia Ananiadou
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
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Karin Verspoor
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http://projects.ldc.upenn.edu/ace
https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Relation Extraction
Event Detection
Approach
Structured Prediction
Language
English
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