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[PDF] Top 20 “One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation

Has 10000 "“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation" found on our website. Below are the top 20 most common "“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation".

“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation

“One Entity per Discourse” and “One Entity per Collocation” Improve Named Entity Disambiguation

... single entity per document, but given the need to find occurrences for different entities, the organizers (Ji et ...all named-entities occurring in the target ...the one entity ... See full document

10

A Feature Induction Algorithm with Application to Named Entity Disambiguation

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 ... See full document

7

Named Entity Disambiguation for Noisy Text

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 ... See full document

11

Graph Ranking for Collective Named Entity Disambiguation

Graph Ranking for Collective Named Entity Disambiguation

... edge weighting approaches, where for each ap- proach edges were created only where the coher- ence score according to the approach was non- zero. We also investigated a variant, called JProb + Ref, in which the Ref edge ... See full document

6

Information Extraction for Social Media

Information Extraction for Social Media

... tweets. Named entities are disambiguated by linking them to a home page or a social network profile page in case they don’t have a Wikipedia ...to improve the effectiveness of finding the correct ... See full document

8

NEED4Tweet: A Twitterbot for Tweets Named Entity Extraction and Disambiguation

NEED4Tweet: A Twitterbot for Tweets Named Entity Extraction and Disambiguation

... for named en- tity extraction (NEE) and disambiguation (NED) for ...and disambiguation approaches on infor- mal text widely used in Tweets, typically results in significantly degraded perfor- mance ... See full document

6

Attribute based Chinese Named Entity Recognition and Disambiguation

Attribute based Chinese Named Entity Recognition and Disambiguation

... contain per- son names (11-17% of the queries are composed of a person name in web search, with additional terms and 4% are identified simply as person ...the entity that corresponds to a particular occur- ... See full document

5

Exploring Entity Relations for 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 ... See full document

6

GerNED: A German Corpus for Named Entity Disambiguation

GerNED: A German Corpus for Named Entity Disambiguation

... The one-in-one approach achieves significantly better ...only one or two ...including Entity Linking and NIL ...the Entity Linking ... See full document

8

Language Independent Named Entity Analysis Using Parallel Projection and Rule Based Disambiguation

Language Independent Named Entity Analysis Using Parallel Projection and Rule Based Disambiguation

... to named entity ...be one-to-many, many-to-one, or many-to-many. For one-to-many alignments, the tag of the English word is ap- plied to all of the aligned target language ...an ... See full document

5

One for All: Towards Language Independent Named Entity Linking

One for All: Towards Language Independent Named Entity Linking

... global disambiguation can be expensive, (Milne and Witten, 2008) uses the set of unambiguous mentions in the text surrounding a mention to define the mention’s context, and uses the Normalized Google Distance ... See full document

10

FINET: Context Aware Fine Grained Named Entity Typing

FINET: Context Aware Fine Grained Named Entity Typing

... A number of NET systems have been proposed which make use of a predefined type hierarchy. Lin et al. (2012) proposes a semi-supervised sys- tem that uses relational patterns to propagate type information from a KB to ... See full document

11

Personalized Page Rank for Named Entity Disambiguation

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 ... See full document

6

Learning Entity Representation for Entity Disambiguation

Learning Entity Representation for Entity Disambiguation

... Another line of work focuses on collective dis- ambiguation (Kulkarni et al., 2009; Han et al., 2011; Ratinov et al., 2011; Hoffart et al., 2011). Ambiguous mentions within the same context are resolved simultaneously ... See full document

5

One Sense Per Discourse

One Sense Per Discourse

... One Sense Per Discourse O n e S e n s e P e r D i s c o u r s e William A Gale Kenneth W Church David Yarowsky AT&T Bell Laboratories 600 Mountain Avenue Murray Hill NJ 07974 0636 1 A B S T R A C T It[.] ... See full document

5

A Joint Chinese Named Entity Recognition and Disambiguation System

A Joint Chinese Named Entity Recognition and Disambiguation System

... the named entities has been established as an important task in several areas, including topic detection and tracking, machine translation, and information retrieval (Cucerzan, ...of per- sons, ... See full document

6

A Joint Named Entity Recognition and Entity Linking System

A Joint Named Entity Recognition and Entity Linking System

... same entity, are present in the document (similar variants can have a string equal to the mention’s string, longer or shorter than the mention’s string, included in the men- tion’s string or including ...set. ... See full document

9

Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

... cause one ID- type clustering better, while another is not good ...name disambiguation pro- cessing, according to the difference between the fuzzy clustering matrix generated each time and the content of ... See full document

6

AIDArabic A Named Entity Disambiguation Framework for Arabic Text

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

9

Named Entity Recognition and Classification for Entity Extraction

Named Entity Recognition and Classification for Entity Extraction

... The performance of a text classification model is heavily dependent upon the type of words used in the corpus and type of features created for classification.Text ba[r] ... See full document

5

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