Proceedings of the third annual conference on Autonomous Agents
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
Training products of experts by minimizing contrastive divergence
Neural Computation
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Machine Learning
Entity Resolution with Markov Logic
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Collective information extraction with relational Markov networks
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Unsupervised learning of field segmentation models for information extraction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Sound and efficient inference with probabilistic and deterministic dependencies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
The necessity of syntactic parsing for semantic role labeling
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Query evaluation with soft-key constraints
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
A Generalized Joint Inference Approach for Citation Matching
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Using Wikipedia to bootstrap open information extraction
ACM SIGMOD Record
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
Incorporating site-level knowledge to extract structured data from web forums
Proceedings of the 18th international conference on World wide web
SOFIE: a self-organizing framework for information extraction
Proceedings of the 18th international conference on World wide web
Uncertainty management in rule-based information extraction systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Language ID in the context of harvesting language data off the web
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Joint unsupervised coreference resolution with Markov logic
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Max-Margin Weight Learning for Markov Logic Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
A general method for reducing the complexity of relational inference and its application to MCMC
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
LaTeCH-SHELT&R '09 Proceedings of the EACL 2009 Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education
An integrated discriminative probabilistic approach to information extraction
Proceedings of the 18th ACM conference on Information and knowledge management
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Probabilistic inductive logic programming
Sentence similarity measurement based on shallow parsing
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Joint inference for knowledge extraction from biomedical literature
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Using Background Knowledge to Support Coreference Resolution
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Machine reading at the University of Washington
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Extracting medication information from discharge summaries
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
Duplicate identification in deep web data integration
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Speeding up inference in statistical relational learning by clustering similar query literals
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Scalable probabilistic databases with factor graphs and MCMC
Proceedings of the VLDB Endowment
Querying probabilistic information extraction
Proceedings of the VLDB Endowment
Supporting natural language processing with background knowledge: coreference resolution case
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS
Proceedings of the VLDB Endowment
Which noun phrases denote which concepts?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Online structure learning for Markov logic networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Towards a top-down and bottom-up bidirectional approach to joint information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
Semi-supervised multi-task learning of structured prediction models for web information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Probabilistic databases with MarkoViews
Proceedings of the VLDB Endowment
Tutorial-based interfaces for cloud-enabled applications
Proceedings of the 25th annual ACM symposium on User interface software and technology
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
A discriminative hierarchical model for fast coreference at large scale
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Parse, price and cut: delayed column and row generation for graph based parsers
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Building a lightweight semantic model for unsupervised information extraction on short listings
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Monte Carlo MCMC: efficient inference by approximate sampling
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
The dichotomy of probabilistic inference for unions of conjunctive queries
Journal of the ACM (JACM)
Collective information extraction with context-specific consistencies
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Concept adjustment for description logics
Proceedings of the seventh international conference on Knowledge capture
Information extraction as a filtering task
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Programming with personalized pagerank: a locally groundable first-order probabilistic logic
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Joint inference of entities, relations, and coreference
Proceedings of the 2013 workshop on Automated knowledge base construction
Combining relational learning with SMT solvers using CEGAR
CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
Type Extension Trees for feature construction and learning in relational domains
Artificial Intelligence
Joint entity resolution on multiple datasets
The VLDB Journal — The International Journal on Very Large Data Bases
Using compositional semantics and discourse consistency to improve Chinese trigger identification
Information Processing and Management: an International Journal
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The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each candidate record separately, and then merging records that refer to the same entities. While computationally efficient, this approach is suboptimal, because it ignores the fact that segmenting one candidate record can help to segment similar ones. For example, resolving a well-segmented field with a less-clear one can disambiguate the latter's boundaries. In this paper we propose a joint approach to information extraction, where segmentation of all records and entity resolution are performed together in a single integrated inference process. While a number of previous authors have taken steps in this direction (eg., Pasula et al. (2003), Wellner et al. (2004)), to our knowledge this is the first fully joint approach. In experiments on the CiteSeer and Cora citation matching datasets, joint inference improved accuracy, and our approach outperformed previous ones. Further, by using Markov logic and the existing algorithms for it, our solution consisted mainly of writing the appropriate logical formulas, and required much less engineering than previous ones.