NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen
|
Ralph Grishman
|
Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen
|
Nicolas Fauceglia
|
Mariano Rodriguez Muro
|
Oktie Hassanzadeh
|
Alfio Massimiliano Gliozzo
|
Mohammad Sadoghi
|
On the contribution of word embeddings to temporal relation classification
Paramita Mirza
|
Sara Tonelli
|
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
|
Mo Yu
|
Mark Dredze
|
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
Ge Shi
|
Chong Feng
|
Lifu Huang
|
Boliang Zhang
|
Heng Ji
|
Lejian Liao
|
Heyan Huang
|
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network
Lisheng Fu
|
Thien Huu Nguyen
|
Bonan Min
|
Ralph Grishman
|
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto
|
Pontus Stenetorp
|
Makoto Miwa
|
Yoshimasa Tsuruoka
|
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu
|
Matthew R. Gormley
|
Mark Dredze
|
Effective Crowd Annotation for Relation Extraction
Angli Liu
|
Stephen Soderland
|
Jonathan Bragg
|
Christopher H. Lin
|
Xiao Ling
|
Daniel S. Weld
|
Embedding Lexical Features via Low-Rank Tensors
Mo Yu
|
Mark Dredze
|
Raman Arora
|
Matthew R. Gormley
|
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
|
Barbara Plank
|
Ralph Grishman
|
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features
Jianfei Yu
|
Jing Jiang
|
Event Detection and Domain Adaptation with Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu
|
Wenpeng Yin
|
Kazi Saidul Hasan
|
Cicero dos Santos
|
Bing Xiang
|
Bowen Zhou
|
A Walk-based Model on Entity Graphs for Relation Extraction
Fenia Christopoulou
|
Makoto Miwa
|
Sophia Ananiadou
|
Learning Composition Models for Phrase Embeddings
Mo Yu
|
Mark Dredze
|
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
|
Hoifung Poon
|
Chris Quirk
|
Kristina Toutanova
|
Wen-tau Yih
|
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
|
Lizhen Qu
|
Qiongkai Xu
|
Mark Johnson
|
Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen
|
Lisheng Fu
|
Kyunghyun Cho
|
Ralph Grishman
|
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
Chen Lin
|
Timothy Miller
|
Dmitriy Dligach
|
Hadi Amiri
|
Steven Bethard
|
Guergana Savova
|
http://mallet.cs.umass.edu/
http://metaoptimize.com/projects/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Relation Extraction
Sentiment Analysis
Approach
Deep Learning
Representation Learning
Dataset
News
Blogs
Similar Papers
Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang
|
Zhiyang Teng
|
Yue Zhang
|
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora
Andrius Mudinas
|
Dell Zhang
|
Mark Levene
|
A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke
|
Sven Buechel
|
Jan Goldenstein
|
Philipp Poschmann
|
Tinghui Duan
|
Peter Walgenbach
|
Udo Hahn
|
A Joint Model of Conversational Discourse Latent Topics on Microblogs
Jing Li
|
Yan Song
|
Zhongyu Wei
|
Kam-Fai Wong
|
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
|
Iryna Gurevych
|