From Text to Knowledge: Semantic Entity Extractionusing YAGO Ontology

[1]  Michael D. Lee,et al.  An Empirical Evaluation of Models of Text Document Similarity , 2005 .

[2]  Ian H. Witten,et al.  Mining Meaning from Wikipedia , 2008, Int. J. Hum. Comput. Stud..

[3]  Gerhard Weikum,et al.  SOFIE: a self-organizing framework for information extraction , 2009, WWW '09.

[4]  Razvan C. Bunescu,et al.  Using Encyclopedic Knowledge for Named entity Disambiguation , 2006, EACL.

[5]  Rada Mihalcea,et al.  Unsupervised graph-based word sense disambiguation , 2009 .

[6]  Gerhard Weikum,et al.  LEILA: Learning to Extract Information by Linguistic Analysis , 2006, OntologyLearning@COLING/ACL.

[7]  Christopher D. Manning,et al.  Joint Parsing and Named Entity Recognition , 2009, NAACL.

[8]  Rada Mihalcea,et al.  Using Wikipedia for Automatic Word Sense Disambiguation , 2007, NAACL.

[9]  Beatrice Alex,et al.  Recognising Nested Named Entities in Biomedical Text , 2007, BioNLP@ACL.

[10]  Rada Mihalcea,et al.  Unsupervised Graph-basedWord Sense Disambiguation Using Measures of Word Semantic Similarity , 2007 .

[11]  Feiyu Xu,et al.  Term Extraction and Mining of Term Relations from Unrestricted Texts in the Financial Domain , 2002 .

[12]  Evgeniy Gabrilovich,et al.  Concept-Based Information Retrieval Using Explicit Semantic Analysis , 2011, TOIS.

[13]  Gerhard Weikum,et al.  YAGO: A Large Ontology from Wikipedia and WordNet , 2008, J. Web Semant..

[14]  Evgeniy Gabrilovich,et al.  Wikipedia-based Semantic Interpretation for Natural Language Processing , 2014, J. Artif. Intell. Res..