[PDF] Top 20 Using Encyclopedic Knowledge for Named entity Disambiguation
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Using Encyclopedic Knowledge for Named entity Disambiguation
... about named entities, which constitute a significant fraction of popu- lar web queries according to search engine ...those named entities, rather than a set of best-matching web ... See full document
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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 ... See full document
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Structural Semantic Relatedness: A Knowledge Based Method to Named Entity Disambiguation
... high-quality named ent- ity disambiguation ...semantic knowledge sources (such as Wikipe- dia and WordNet) creates new opportunities to enhance the named entity disambiguation by ... See full document
10
AIDArabic A Named Entity Disambiguation Framework for Arabic Text
... NED is one of the classical NLP problems that is essential for many Information Retrieval tasks. Hence, it has been extensively addressed in NLP research. Most of NED approaches use Wikipedia as their knowledge ... See full document
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diaNED: Time Aware Named Entity Disambiguation for Diachronic Corpora
... for Named Entity Disambiguation (NED), virtually all of them would map the mention Schumacher onto the former Formula One cham- pion Michael Schumacher, as the best-fitting en- tity from a ... See full document
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A Joint Chinese Named Entity Recognition and Disambiguation System
... NER has been widely addressed by symbolic, statistical as well as hybrid approaches. Its major part in information extraction (IE) and other NLP applications has been stated and encouraged by several editions of ... See full document
6
HYENA live: Fine Grained Online Entity Type Classification from Natural language Text
... 2 Entity Type Classification Systems State-of-the-art tools for named entity recognition such as the Stanford NER Tagger (Finkel et ...of entity mentions. The most common workaround to perform ... See full document
6
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 ... See full document
6
Classifying Relations for Biomedical Named Entity Disambiguation
... is named entity disam- biguation, which concerns grounding mentions of named entities in text to unambiguous concepts as defined in some standard dictionary or ...lexical disambiguation tasks ... See full document
10
Graph Ranking for Collective Named Entity Disambiguation
... Single entity disambigua- tion approaches (SNED), disambiguate one entity at a time without considering the effect of other ...candidate entity and other entities in the context will improve NED ac- ... See full document
6
Entity Disambiguation for Knowledge Base Population
... a named-entity tagger and relation finder, SERIF (Boschee et ...the entity mention in the document, and tested whether these nouns were present in the KB ...and using the Dice coefficient over ... See full document
9
Collective Named Entity Disambiguation using Graph Ranking and Clique Partitioning Approaches
... Disambiguating named entities (NE) in running text to their correct interpretations in a specific knowledge base (KB) is an important problem in ...approaches using a graph representation where ... See full document
12
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... any knowledge base, instead it require names referring to the same entity to be clustered ...a named entity dis- ambiguation task, which they use the term entity ...a knowledge ... See full document
6
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 ... See full document
6
Multi Objective Optimization for the Joint Disambiguation of Nouns and Named Entities
... reference knowledge base ...and named entities that are represented by synonym sets, called Ba- bel ...& Entity Detection We define a mention to be a sequence of tokens in a given ...identify ... See full document
10
GerNED: A German Corpus for Named Entity Disambiguation
... our knowledge, there is no comparable corpus for German-language ...of entity distribution and confusability in Section ...of Entity Linking and NIL ... See full document
8
Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation
... 2004), using distributional methods to construct a list of closely associated entities (Mikolov et ...When using these similar entities as context, our system does return the correct entity for this ... See full document
10
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) ...entities ... See full document
10
“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation
... as disambiguation performance on unseen data, with the precision ranging between 90% and 99% for a handful of words with two distinct homograph senses, like, ... See full document
10
Large Scale Named Entity Disambiguation Based on Wikipedia Data
... described disambiguation process is performed iteratively for the instances of the surface forms with multiple disambiguations with similarity scores higher than an empirically determined threshold, by shrinking ... See full document
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