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[PDF] Top 20 A Method of Recognizing Entity and Relation

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A Method of Recognizing Entity and Relation

A Method of Recognizing Entity and Relation

... an entity or relation is its decision attribute, which is one of the predefined class set and is unknown before being ...predefined entity class and relation class as C E and C R ...their ... See full document

12

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

... of relation paths to get better ...the relation order of paths will alter the meanings of paths to a great ex- tent (as shown in Figure ...an entity pair only contributes to the relation ... See full document

10

Jointly Learning Entity and Relation Representations for Entity Alignment

Jointly Learning Entity and Relation Representations for Entity Alignment

... for entity alignment by jointly modeling entities and rela- tions of ...high-quality entity and relation ...joint entity representations that contain both relation informa- tion and ... See full document

10

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING

... Natural language processing (NLP) is a research area that focuses on studying the methods of computer analysis and synthesis of natural languages. The sources of information can include not only texts, but also audio and ... See full document

11

Informing Science: The International Journal of an Emerging Transdiscipline

Informing Science: The International Journal of an Emerging Transdiscipline

... During the 1980s and early 90s, Information Engineering (IE) was in its prime. Most major corporations were utilizing some form of system development methodology that could be tied back to IE. The first step in any IE ... See full document

9

Cross Sentence N ary Relation Extraction using Lower Arity Universal Schemas

Cross Sentence N ary Relation Extraction using Lower Arity Universal Schemas

... proposed method, we create new cross-sentence n-ary relation extraction datasets with multiple ternary ...more entity tuples with known relational facts appeared in a knowledge base than the ex- ... See full document

7

Relation Aware Entity Alignment for Heterogeneous Knowledge Graphs

Relation Aware Entity Alignment for Heterogeneous Knowledge Graphs

... learning relation-aware ...translated entity names, but still achieves the best performance in almost all settings, demon- strating the effectiveness and robustness of the proposed method for ... See full document

7

Automatic Wayang Ontology Construction using Relation Extraction from Free Text

Automatic Wayang Ontology Construction using Relation Extraction from Free Text

... The entity group is based on Pitoyo Amrih (Amrih, 2011) which consists of 29 ...wayang entity that has not been detailed and by using detailed entities (based on the type of wayang ...wayang entity ... See full document

9

The Method of Recognizing International Law

The Method of Recognizing International Law

... relations, in which specific rules prevail over general rules, weakens the foundations of any legal argument and rules the dogmas of the abstract logic of relations between the countries. For this reason, for the sake ... See full document

11

Customizing an Information Extraction System to a New Domain

Customizing an Information Extraction System to a New Domain

... simple method that captures some of the joint domain structure indepen- dently of the IE architecture and the EMD and RMD ...new relation mentions based on the data already extracted by the pipeline ...for ... See full document

9

Symbolic Interactionism and Ethnomethodology as Methods of Valuation of Subjectivities in Social Research

Symbolic Interactionism and Ethnomethodology as Methods of Valuation of Subjectivities in Social Research

... The stories of life effect as methodological procedure allows you to recover the memory and recognizing the identity of the subject in relation to this interface[r] ... See full document

6

Relation Prediction for Unseen Entities Using Entity Word Graphs

Relation Prediction for Unseen Entities Using Entity Word Graphs

... the Entity-Word graph, even Unseen-entities can explicitly be connected with other ...Our method encodes the graph with Graph Convolu- tional Networks (GCNs) (Kipf and Welling, 2017) to learn entity ... See full document

6

Recognizing Relation Expression between Named Entities based on Inherent and Context dependent Features of Relational words

Recognizing Relation Expression between Named Entities based on Inherent and Context dependent Features of Relational words

... of entity pairs in a text. Examples include the supervised learning method cited in (Kambhatla, 2004; Culotta and Sorensen, 2004; Zelenko et ...bootstrapping method cited in (Pan- tel and ... See full document

9

Entity Focused Sentence Simplification for Relation Extraction

Entity Focused Sentence Simplification for Relation Extraction

... The general paths, such as the shortest path or pair-enclosed trees (Section 1), can only cover a part of the necessary information for relation extraction. Recent machine-learning methods specifically examine how ... See full document

9

Mining clinical relationships from patient narratives

Mining clinical relationships from patient narratives

... described as consisting of general language with a high terminology content, rather than consisting of formulaic sublanguage or boilerplate. Approval to use this corpus for research purposes within CLEF was obtained from ... See full document

17

Joint Bootstrapping Machines for High Confidence Relation Extraction

Joint Bootstrapping Machines for High Confidence Relation Extraction

... bootstrapping method that protects against such contamination by highly effective confidence ...using entity and template seeds jointly (as opposed to just one as in previous work), by expanding entities ... See full document

11

Knowledge graph embedding by dynamic translation

Knowledge graph embedding by dynamic translation

... sampling method ‘‘unif’’) gets the best results in the ‘‘Filt’’ evaluation setting, and TranSparse-DT (bern) ...sampling method ‘‘bern’’) gets the best results in the ‘‘Raw’’ evaluation setting; further- ... See full document

10

Relation Classification using Entity Sequence Kernels

Relation Classification using Entity Sequence Kernels

... In terms of methodology, the closest approaches to ours are the ones using sequence kernels for relation extraction. Inspired by the string kernel of Lodhi et al. (2002), Bunescu and Mooney (2005a) created ... See full document

10

Improving Related Entity Finding via Incorporating Homepages and Recognizing Fine grained Entities

Improving Related Entity Finding via Incorporating Homepages and Recognizing Fine grained Entities

... DTBS method can greatly improve Baseline, ...DTBS method considers the relation between ...incorrect entity, incorporating homepage information will cause a negative ... See full document

9

Comparative Questions Entity Mining: A Review

Comparative Questions Entity Mining: A Review

... Supervised entity mining method treated identification of comparative sentence as a classification and relation extraction as an information extraction ...The method was only used with noun ... See full document

6

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