Stanford's Distantly Supervised Slot Filling Systems for KBP 2014

Gabor Angeli, Sonal Gupta, Christopher D. Manning, Julie Tibshirani, Jean Y. Wu · 2014

Summary

This paper describes Stanford’s entry in the TACKBP 2014 Slot Filling challenge, and evaluates the impact of learned and hard-coded patterns on performance for slot filling, and theimpact of the partial annotations described in Angeli et al. (2014).

Type: article
Published: 2014-01-01
Cited by: 14
References: 21
OpenAlex: https://openalex.org/W2187647469
Semantic Scholar: https://api.semanticscholar.org/CorpusID:14283266

Keywords

Relation (database), Computer science, Filling-in, Artificial intelligence, Data mining

References

Multi-instance Multi-label Learning for Relation ExtractionMihai Surdeanu, Julie Tibshirani, Ramesh Nallapati — 2012
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and InferenceFeng Niu, Ce Zhang, R Christopher — 2012
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DimmWitted: A Study of Main-Memory Statistical AnalyticsCe Zhang, Christopher Ré — 2014
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GeoDeepDive: statistical inference using familiar data-processing languagesCe Zhang, Vidhya Govindaraju, Jackson S. Borchardt — 2013
Towards high-throughput gibbs sampling at scale: a study across storage managersCe Zhang, Christopher Ré — 2013
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
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Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMSFeng Niu, Christopher Ré, AnHai Doan — 2011
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient DescentBenjamin Recht, Christopher Ré, Stephen J. Wright — 2011
Improved Pattern Learning for Bootstrapped Entity ExtractionSonal Gupta, Christopher D. Manning — 2014
Combining Distant and Partial Supervision for Relation ExtractionGabor Angeli, Julie Tibshirani, Jean Y. Wu — 2014
Snowball samplingP. Sedgwick — 2013
Active Sampling for Class Probability Estimation and RankingFoster Provost, Maytal Saar‐Tsechansky — 2004

Cited by

Data mining for building knowledge bases: techniques, architectures and applicationsAlfred Krzywicki, Wayne Wobcke, Michael Bain — 2016
Web relation extraction with distant supervisionIsabelle Augenstein — 2016
Building Structured Databases of Factual Knowledge from Massive Text CorporaXiang Ren, Meng Jiang, Jingbo Shang — 2017
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World KnowledgeBonan Min, Marjorie Freedman, Talya Meltzer — 2017
Position-aware Attention and Supervised Data Improve Slot FillingYuhao Zhang, Victor W. Zhong, Danqi Chen — 2017
Impact of Coreference Resolution on Slot FillingHeike Adel, Hinrich Schütze — 2017
Open Relation Extraction and GroundingDian Yu, Lifu Huang, Heng Ji — 2017
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal SchemaHaw-Shiuan Chang, Abdurrahman Munir, Ao Liu — 2016
Creating Robust Relation Extract and Anomaly Detect via Probabilistic Logic-Based Reasoning and LearningJude Shavlik, Chris Ré, Sriraam Natarajan — 2017
TruePIE: Discovering Reliable Patterns in Pattern-Based Information ExtractionQi Li, Meng Jiang, Xikun Zhang — 2018
Semgrex and Ssurgeon, Searching and Manipulating Dependency GraphsJohn Bauer, Chloé Kiddon, Eric Yeh — 2024
Research Statement Thesis ResearchCe Zhang — 2015
ROBUST DEEP SEMANTICS FOR LANGUAGE UNDERSTANDING LELAND STANFORD UNIVERSITY JUNE 2018 FINAL TECHNICAL REPORT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITEDDan Jurafsky Christopher Manning, P. Liang — 2018
Unsupervised graph-based relation extraction and validation for knowledge base populationDian Yu — 2017

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