[PDF] Top 20 Large Scale Named Entity Disambiguation Based on Wikipedia Data
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Large Scale Named Entity Disambiguation Based on Wikipedia Data
... forms based on a reference list of entities is similar to the lexical sample task in word sense disambiguation ...supported large-scale evaluations – S ENSEVAL 1-3 (Kilgarriff and Rosenzweig, ... See full document
9
AIDArabic A Named Entity Disambiguation Framework for Arabic Text
... an entity-level analytics of these ...the disambiguation of Arabic texts based on an automatically generated knowledge base distilled from ...Arabic Wikipedia by ex- ploiting the interwiki ... See full document
9
Creating an Extended Named Entity Dictionary from Wikipedia
... meta data in Wikipedia, which can be helpful in distinguishing the NE types of ...of Wikipedia arti- ...political entity), ORG, and ... See full document
16
Augmenting Wikipedia with Named Entity Tags
... many Wikipedia entities have only a partial list of the feature groups discussed ...in Wikipedia but might be added in the future. Also, not all the page-based features groups are available for every ... See full document
8
Exploring Entity Relations for Named Entity Disambiguation
... of named entities (NE) mentioned in text (such as people, or- ganizations, and geographic locations) plays an im- portant role in various natural language processing and information retrieval ...of Named ... See full document
6
Named Entity Disambiguation for little known referents: a topic based approach
... to Named Entity Disambiguation that avoids a problem of standard work on the task (likewise affecting fully supervised, weakly supervised, or distantly supervised machine learning techniques): the ... See full document
12
Structural Semantic Relatedness: A Knowledge Based Method to Named Entity Disambiguation
... high-quality named ent- ity disambiguation ...of large-scale, rich semantic knowledge sources (such as Wikipe- dia and WordNet) creates new opportunities to enhance the named ... See full document
10
Transforming Wikipedia into a Large Scale Fine Grained Entity Type Corpus
... coarse-grained entity type cor- pus made merly from English Wikipedia articles, and pro- pose WiFiNE, a fine-grained entity type corpus annotated with nominal and pronominal coreference ...enriching ... See full document
8
“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation
... 2009 Entity Linking competition, as this dataset have been extensively used in Entity Linking ...very large, allowing us to mine relevant collocations (see ...estimated based on TAC2009 ... See full document
10
Language Independent Named Entity Identification using Wikipedia
... a large amount of manually annotated training ...training data, the task of high-performance NER system projects as a major challenge for Indian ...resources. Wikipedia is a free, web-based, ... See full document
7
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
... very large, and is due to the error of the Wiki-based English ...so large that the best projec- tion model PM+WF does not reach the performance of ...projecting entity annotations from the ... See full document
9
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... qualitatively large difference in performance here indicates that NED has larger numbers of training data, compared to WSD, and also the fact that clarity and definiteness of disambiguating an entity ... See full document
8
GerNED: A German Corpus for Named Entity Disambiguation
... a large corpus of German news articles, and uses a reference KB derived from the German version of ...of entity distribution and confusability in Section ...of Entity Linking and NIL ... See full document
8
Named Entity Disambiguation in Streaming Data
... such data by considering unlabeled data as negative ...poor disambiguation performance, due to a potentially large number of false-negative ...observed data is most likely. Based ... See full document
10
Personalized Page Rank for Named Entity Disambiguation
... successful entity disambiguation algorithm would benefit from both the initial similarity between can- didate and entity, as well as the coherence among entities in the same ...every entity ... See full document
6
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
... fine-grained entity type set is to build cog- nitive question answering applications on top of the NER ...The entity type system used in this paper has been engineered to cover many of the frequent types ... See full document
10
NEED4Tweet: A Twitterbot for Tweets Named Entity Extraction and Disambiguation
... • The limited length (140 characters) of Tweets forces the senders to provide dense informa- tion by using acronyms and informal lan- guage. This makes both the extraction and the disambiguation processes more ... See full document
6
A Joint Chinese Named Entity Recognition and Disambiguation System
... with entity linking (EL). Stern et al. (2012) introduced a system based on a joint application of NER and EL, where the NER output is given to the linking component as a set of possible mentions, preserving ... See full document
6
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
... because entity regions can be iden- tified fairly correctly if models are trained using a sufficient amount of training ...The Wikipedia model, (D), improved F-measure by ...the Wikipedia features, wp ... See full document
10
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition
... into named-entities (as provided by another NER system), we compute with the Viterbi al- gorithm the sequence of token tags that leads to the smallest perplexity according to each language ... See full document
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