Position-aware Attention and Supervised Data Improve Slot Filling

Keywords

Relationship extraction, Computer science, Relation (database), Crowdsourcing, Position (finance)

References

• Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content ExtractionStephanie Strassel, Mark A. Przybocki, Kay Peterson — 2008
• Multi-instance Multi-label Learning for Relation ExtractionMihai Surdeanu, Julie Tibshirani, Ramesh Nallapati — 2012
• Semantic Relation Classification via Convolutional Neural Networks with Simple Negative SamplingKun Xu, Yansong Feng, Songfang Huang — 2015
• Recurrent Neural Network RegularizationWojciech Zaremba, Ilya Sutskever, Oriol Vinyals — 2014
• Relation Classification via Recurrent Neural NetworkDongxu Zhang, Dong Wang — 2015
• Overview of BioNLP’09 Shared Task on Event ExtractionJin-Dong Kim, Tomoko Ohta, Sampo Pyysalo — 2009
• Long Short-Term MemorySepp Hochreiter, Jürgen Schmidhuber — 1997
• Dropout: a simple way to prevent neural networks from overfittingNitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky — 2014
• SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of NominalsIris Hendrickx, Su Nam Kim, Zornitsa Kozareva — 2009
• Distant supervision for relation extraction without labeled dataMike D. Mintz, Steven Bills, Rion Snow — 2009
• The Stanford CoreNLP Natural Language Processing ToolkitChristopher D. Manning, Mihai Surdeanu, John Bauer — 2014
• Open Language Learning for Information ExtractionMichael Schmitz, Stephen Soderland, Robert Bart — 2012
• A Shortest Path Dependency Kernel for Relation ExtractionRăzvan Bunescu, Raymond J. Mooney — 2005
• Local and Global Algorithms for Disambiguation to WikipediaLev Ratinov — 2011
• Kernel Methods for Relation ExtractionDmitry Zelenko, Chinatsu Aone, Anthony Richardella — 2002
• Overview of the TAC 2010 Knowledge Base Population TrackHeng Ji, Ralph Grishman, Hoa Trang Dang — 2010
• Stanford's Distantly Supervised Slot Filling Systems for KBP 2014Gabor Angeli, Sonal Gupta, Christopher D. Manning — 2014
• Improved relation classification by deep recurrent neural networks with data augmentationYan Xu, Ran Jia, Lili Mou — 2016
• Relation Classification via Convolutional Deep Neural NetworkDaojian Zeng, Kang Liu, Siwei Lai — 2014
• GloVe: Global Vectors for Word RepresentationJeffrey Pennington, Richard Socher, Christopher D. Manning — 2014

Cited by

• Large-scale Cloze Test Dataset Designed by TeachersQizhe Xie, Guokun Lai, Zihang Dai — 2018
• Neural architectures for open-type relation argument extractionBenjamin Roth, Costanza Conforti, Nina Poerner — 2018
• Know What You Don’t Know: Unanswerable Questions for SQuADPranav Rajpurkar, Robin Jia, Percy Liang — 2018
• SANTO: A Web-based Annotation Tool for Ontology-driven Slot FillingMatthias Härtung, Hendrik ter Horst, Frank Grimm — 2018
• Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge GraphArun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton — 2017
• Period-aware content attention RNNs for time series forecasting with missing valuesYagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami — 2018
• Position-aware Self-attention with Relative Positional Encodings for Slot FillingIvan Bilan, Benjamin Roth — 2018
• Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy MechanismLiunian Li, Xiaojun Wan — 2018
• Troubling Trends in Machine Learning ScholarshipZachary C. Lipton, Jacob Steinhardt — 2018
• Large-scale Cloze Test Dataset Created by TeachersQizhe Xie, Guokun Lai, Zihang Dai — 2017
• Learning To Split and Rephrase From Wikipedia Edit HistoryJan A. Botha, Manaal Faruqui, John Alex — 2018
• A Genre-Aware Attention Model to Improve the Likability Prediction of BooksSuraj Maharjan, Manuel Montes, Fabio A. González — 2018
• Answer-focused and Position-aware Neural Question GenerationXingwu Sun, Jing Liu, Yajuan Lyu — 2018
• Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionYuhao Zhang, Peng Qi, Christopher D. Manning — 2018
• Hierarchical Relation Extraction with Coarse-to-Fine Grained AttentionXu Han, Pengfei Yu, Zhiyuan Liu — 2018
• Deep learning methods for knowledge base populationHeike Adel — 2018
• Training Complex Models with Multi-Task Weak SupervisionAlexander Ratner, Braden Hancock, Jared Dunnmon — 2018
• Fault diagnosis of wind turbine based on Long Short-term memory networksJinhao Lei, Chao Liu, Dongxiang Jiang — 2019
• Position-aware Attention for Enhancing the Machine ComprehensionWeijie Liu, Jianbo Zhao, Mingzheng Li — 2018
• Temporal Context Modeling for Text StreamsJ. Rao — 2018

Related papers

• Simple ontologies for practical information extraction and advanced information extraction for practical ontologiesFeiyu Xu — 2013
• Review of entity relation extractionMeimei Tuo, Wenzhong Yang — 2023
• Information Extraction in the Medical DomainAicha Ghoulam, Fatiha Barigou, Ghalem Belalem — 2015
• Relation extraction from text documentsA. Cvitas — 2011
• Chinese Triple Extraction Based on BERT ModelWeidong Deng, Yun Liu — 2021
• Dependency parsing based Chinese open relation extractionJing Xu, Liang Gan, Lu Deng — 2015
• Open Information ExtractionLi Cai — 2011
• Self-training on refined clause patterns for relation extractionDuc-Thuan Vo, Ebrahim Bagheri — 2017