[PDF] Top 20 Extended Named Entity Ontology with Attribute Information

... proposed Extended Named Entity (ENE), which has about 200 categories (Sekine and Nobata ...important information for the ...such information is essential to ‘knowing about’ the river, ... See full document

... Brin (1998) defined a methodology to extract in- formation from the Web starting from a small set of seed examples, then alternately learning extrac- tion patterns from seeds, and further seeds from patterns. Despite the ... See full document

... of named entities for improving the search in annotated cor- ...an ontology learning architecture which transforms raw text data in a semantic ...built, extended or populated, which will not be ... See full document

... the named entities rather than sub-dividing the existing classes as it has been done in previ- ous ...of information from the corpus we processed. Compared to existing named entity ... See full document

... There are several approaches using linguistic resources for NER modeling, such as WordNet (Toral and Muoz, 2006), extra information in Wikipedia (Cucerzan, 2007; Finkel et al., 2005), and manually annotated corpus ... See full document

... an information ex- traction system for applications in the domain of in- ventory/business ...Our attribute extractor correctly discovers new brands with over 90% pre- cision on multiple corpora of ... See full document

... They extended the set of words in the text with synonyms from WordNet, and employed Google API to measure a weight for each word using the web as a ...external information from semantic networks and defined ... See full document

... Named entity recognition (NER) is one of the most fundamental tasks in Information Retrieval, Information Extraction and Question Answer- ing (Bellot et ...quality named entity ... See full document

... an entity filtering algorithm to return entity candidates that improves over trivial association ...each entity candidate is matched with a new representation built on a sub- graph centered on their ... See full document

... Wine ontology [14], the ontological type “wine” is less specific than (subsumes) the type “white wine”, or “white wine” is more specific than “wine” since “wine” is a superclass of “white ...available ... See full document

... For information extraction, it is important to recognize named entities (NEs) in ...target entity as cues to determine if that entity belongs to a certain NE ...of entity types, mostly ... See full document

... of Named Entities, the names of particular things or classes, and numeric expressions 1 is regarded as an important component technology for many NLP appli- ...include Information Extraction (IE), from ... See full document

... Bekkerman and McCallum (2005) focused on social network to find the documents that refer to a particular person using two methods: one based on the link structure and the other used agglom- erative/conglomerate double ... See full document

... as named entity tokenization (Li et ...and named entity tokenization and detection tasks (Baldwin et ...of entity tokenization, followed by linking to knowledge bases, and, finally, ... See full document

... (Mann, 2002) automatically derives a proper noun ontology from a 1 gigabyte corpus. The resulting resource contains 113,000 proper nouns and reaches 60% precision. The au- thor remarks that it is not ... See full document

... even extended named en- tities are sparse annotations, and just considering all tokens as ‘markables’ is not ...are extended named ...teresting information but may easily undervalue the ... See full document

... the named entity recognition task, partly due to the Message Understanding Confer- ences ...A named entity recognizer (NER) is useful in many NLP applications such as informa- tion extraction, ... See full document

... coling00 dvi Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition Manabu Sassano Fujitsu Laboratories, Ltd 4 4 1, Kamikodanaka, Nakahara ku, Kawasaki 211 8588,[.] ... See full document

... of named entities (NEs) from the GENIA corpus, which led to the creation of a normalization system trained solely on data from inside NEs, ...and named entity tagging processes as opposed to the ... See full document

... with entity informa- tion stored in the KB in order to disambiguate en- ...KB information as word or concept vectors, and rank entities using vector space similarity met- rics (Cucerzan, ... See full document