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- articleAugust 2019
Joint salient object detection and existence prediction
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 13, Issue 4August 2019, Pages 778–788https://doi.org/10.1007/s11704-017-6613-8Recent advances in supervised salient object detection modeling has resulted in significant performance improvements on benchmark datasets. However, most of the existing salient object detection models assume that at least one salient object exists in ...
- short-paperNovember 2017
J-REED: Joint Relation Extraction and Entity Disambiguation
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementNovember 2017, Pages 2227–2230https://doi.org/10.1145/3132847.3133090Information extraction (IE) from text sources can either be performed as Model-based IE (i.e, by using a pre-specified domain of target entities and relations) or as Open IE (i.e., with no particular assumptions about the target domain). While Model-...
- research-articleSeptember 2014
Joint inference for end-to-end coreference resolution for clinical notes
BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health InformaticsSeptember 2014, Pages 192–201https://doi.org/10.1145/2649387.2649437Recent US government initiatives have led to wide adoption of Electronic Health Records (EHRs). More and more health care institutions are storing patients' data in an electronic format. These EHRs contain valuable information which can be used in ...
- research-articleOctober 2013
Joint inference of entities, relations, and coreference
AKBC '13: Proceedings of the 2013 workshop on Automated knowledge base constructionOctober 2013, Pages 1–6https://doi.org/10.1145/2509558.2509559Although joint inference is an effective approach to avoid cascading of errors when inferring multiple natural language tasks, its application to information extraction has been limited to modeling only two tasks at a time, leading to modest ...
- research-articleFebruary 2012
Coupled temporal scoping of relational facts
WSDM '12: Proceedings of the fifth ACM international conference on Web search and data miningFebruary 2012, Pages 73–82https://doi.org/10.1145/2124295.2124307Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text corpora. Temporally scoping such relational facts in the knowledge base (i.e., ...
- research-articleAugust 2008
A unified approach for schema matching, coreference and canonicalization
KDD '08: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2008, Pages 722–730https://doi.org/10.1145/1401890.1401977The automatic consolidation of database records from many heterogeneous sources into a single repository requires solving several information integration tasks. Although tasks such as coreference, schema matching, and canonicalization are closely ...