Named Entity Disambiguation.
Exploring Entity Relations for Named Entity Disambiguation
... Named entity disambiguation is the task of linking an entity mention in a text to the cor- rect real-world referent predefined in a knowl- edge base, and is a crucial subtask in many areas ...
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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 ...
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Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation
... of Named Entity Disambiguation (NED) is to link each mention of named entities in a docu- ment to a knowledge-base of ...as Entity Linking or Entity Resolution (Bunescu and ...
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diaNED: Time Aware Named Entity Disambiguation for Diachronic Corpora
... Named Entity Disambiguation (NED) sys- tems perform well on news articles and other texts covering a specific time inter- val. However, NED quality drops when inputs span long time periods like in ...
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Classifying Relations for Biomedical Named Entity Disambiguation
... The named entity disambiguation task is defined as follows: given a mention of a named entity in text, we automatically assign a semantic tag d to it, where d ∈ D, and D is a ...
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Named Entity Disambiguation for Noisy Text
... We address the task of Named Entity Disambiguation (NED) for noisy text. We present WikilinksNED, a large-scale NED dataset of text fragments from the web, which is significantly noisier and more ...
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Structural Semantic Relatedness: A Knowledge Based Method to Named Entity Disambiguation
... the named entity ...between named entities in the ...for named entity disambiguation, where similari- ty is computed through random walking, such as the work introduced in Malin ...
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Graph Ranking for Collective Named Entity Disambiguation
... entity popularity in the KB, and context similarity. The second line of approach is collective named entity disambiguation (CNED), where all men- tions of entities in the document are ...
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Named Entity Disambiguation in Streaming Data
... The named entity disambiguation task is to re- solve the many-to-many correspondence be- tween ambiguous names and the unique real- world ...poor disambiguation per- ...
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Personalized Page Rank for Named Entity Disambiguation
... of Named Entity Disambiguation is to map entity mentions in the document to their correct entries in some knowledge ...for disambiguation and ef- fectively filters out noise introduced ...
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“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation
... same entity or not, and (ii) test their impact in Named-Entity Disambiguation ...majority entity is promoted, produces a gain in perfor- mance in all cases, reaching up to 8 absolute ...
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Collective Named Entity Disambiguation using Graph Ranking and Clique Partitioning Approaches
... collective named entity disambiguation (CNED), where all mentions of entities in the document are disambiguated ...for entity linking that models the coherence between all pairs of ...
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Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
... Named Entity Disambiguation algorithms typ- ically learn a single model for all target en- ...target entity string, yielding 500K classification ...
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Multimodal Named Entity Disambiguation for Noisy Social Media Posts
... Multimodal Named Entity Disambiguation (MNED) task for multimodal social media posts such as Snapchat or Instagram captions, which are composed of short captions with ac- companying ...with ...
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Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
... Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in a document to their correct references in a knowledge base (KB) ...
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AIDArabic A Named Entity Disambiguation Framework for Arabic Text
... Such a dictionary is essential for all further pro- cessing we do over YAGO3 to enrich the Arabic knowledge base using the English one. It is worth noting here, that this dictionary is completely au- tomatically ...
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A Feature Induction Algorithm with Application to Named Entity Disambiguation
... For Named Entity Recognition, Maximum Entropy and CRFs (Laf- ferty, 2001) are mostly used, but other linear mod- els like Perceptron, Naive Bayes and linear SVMs are employed (Figure ...
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Large Scale Named Entity Disambiguation Based on Wikipedia Data
... hybrid named-entity recog- nizer based on capitalization rules, Web statistics, and statistics extracted from the CoNLL 2003 shared task data (Tjong Kim Sang and De Meulder, 2003) identifies the boundaries ...
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Building a Multilingual Lexical Resource for Named Entity Disambiguation, Translation and Transliteration
... Thus, named en- tity recognition (NER) and disambiguation (NED) are a crucial prerequisite for successful information extraction, information retrieval, question answering, discourse analy- sis and machine ...
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Enhancing Retrieval of Geological Text using Named Entity Disambiguation
... II. C O -O CCURRENCE B ASED N AME D ISAMBIGUATION Co-occurrence based disambiguation system builds up a term co-occurrence model that captures co-occurrence information of places from a corpus. It includes co- ...
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