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[PDF] Top 20 Joint Entity Recognition and Disambiguation

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Joint Entity Recognition and Disambiguation

Joint Entity Recognition and Disambiguation

... named entity recognition ...jointly entity identifica- tion and relation extraction from ...that joint optimization does not always ... See full document

10

SIR NERD: A Chinese Named Entity Recognition and Disambiguation System using a Two Stage Method

SIR NERD: A Chinese Named Entity Recognition and Disambiguation System using a Two Stage Method

... In the SIR-NERD system, we adopt a two-stage method which can incorporate classifying and clustering techniques for the personal name entity disambiguation task. In the first stage, the system preprocess ... See full document

6

Joint Inference of Named Entity Recognition and Normalization for Tweets

Joint Inference of Named Entity Recognition and Normalization for Tweets

... each entity mention into its unambiguous canonical ...of entity mentions, decide whether they denote the same ...same entity, and choose a representative mention, ... See full document

10

Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non Jointly Labeled Data

Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non Jointly Labeled Data

... designing joint models which actu- ally improve performance has proven challeng- ...on joint parsing and semantic role labeling, but the best systems (Johansson and Nugues, 2008) were the ones which ... See full document

9

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

... meaning of entity mentions. For example, the mention “Washington” in a document can refer to various entities, such as the state, or the capi- tal of the US, the actor Denzel Washington, the first US president ... See full document

10

Joint Parsing and Named Entity Recognition

Joint Parsing and Named Entity Recognition

... The OntoNotes data does not contain any nested en- tities. Consider the named entity portions of the rules seen in the training data. These will look, for instance, like none → none person, and organization → ... See full document

9

The Task 2 of CIPS SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff

The Task 2 of CIPS SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff

... called entity linking, where the knowl- edge base is constructed with a subset of Wikipedia, and an entity linking system should output the cor- rect entity id in knowledge base or “NIL” if the en- ... See full document

7

Entity Disambiguation Using a Markov Logic Network

Entity Disambiguation Using a Markov Logic Network

... gene entity “CD59” and all its instances in the body of the abstract (including “membrane inhibitor of reactive lysis”, “protectin”, and “MIRL”, in the first sentence) to the EntrezGene database entry ...the ... See full document

10

Who is Who and What is What: Experiments in Cross Document Co Reference

Who is Who and What is What: Experiments in Cross Document Co Reference

... global entity detection and recognition task (GEDR) 1 , system perform- ance was measured on named instances of person and organization ...evaluated entity disambiguation and name variation ... See full document

10

A Joint Model for Entity Analysis: Coreference, Typing, and Linking

A Joint Model for Entity Analysis: Coreference, Typing, and Linking

... The joint model most closely related to ours is that of Singh et ...named entity recognition, and relation ...and entity linking in such a way that they maintain uncertainty over mention ... See full document

14

Mutual Disambiguation for Entity Linking

Mutual Disambiguation for Entity Linking

... or joint dis- ambiguation (Fahrni et ...neighbor entity offers candidate links semantically related to Paris (France) like the Seine river or the ... See full document

6

N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format

N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format

... Named Entity Recognition and Disambiguation are two basic operations in this extraction ...Named Entity Recognition and Disambiguation as well as for algorithm ... See full document

5

J NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features

J NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features

... entities. Joint NERD: There is little prior work on perform- ing NER and NED ...and entity candidates, and then perform joint ranking of the ...and entity candidates; 2) linguistic features ... See full document

16

Deep Joint Entity Disambiguation with Local Neural Attention

Deep Joint Entity Disambiguation with Local Neural Attention

... Collective Disambiguation. Last, a novel deep learning architecture for global ED is proposed. Mentions in a document are resolved jointly, us- ing a conditional random field (Lafferty et al., 2001) with ... See full document

11

Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

... same entity to be clustered ...named entity dis- ambiguation task, which they use the term entity ...same entity, if this entity is not included in the ...[1]—-Named Entity ... See full document

6

A Joint Chinese Named Entity Recognition and Disambiguation System

A Joint Chinese Named Entity Recognition and Disambiguation System

... named entity Pre-processing, Recognition, Linking and Clustering ...document, recognition module will determine whether it is a name of person, place, organiza- tion or ...named entity ... See full document

6

Attribute based Chinese Named Entity Recognition and Disambiguation

Attribute based Chinese Named Entity Recognition and Disambiguation

... Named Entity Recognition and Disam- biguation Task, given a query that consists of a name string-which can be a person (PER), organ- ization (ORG), location (LOC) or just common words- and a background ... See full document

5

A Joint Named Entity Recognition and Entity Linking System

A Joint Named Entity Recognition and Entity Linking System

... One challenging subtask of NER is the correct de- tection of entity mentions spans among several ambiguous readings of a segment. The other usual subtask of NER consists in the labeling or classi- fication of each ... See full document

9

Joint Learning of Named Entity Recognition and Entity Linking

Joint Learning of Named Entity Recognition and Entity Linking

... Some works, as in this paper, perform end- to-end EL trying to leverage the relatedness of mention detection or NER and EL, and obtained promising results. Kolitsas et al. (2018) proposed a model that performs mention ... See full document

7

Named Entity Disambiguation in Streaming Data

Named Entity Disambiguation in Streaming Data

... the entity name is ambiguous, the sense of messages that are posted in this profile is biased to- wards the entity as being a ...the entity name may appear out- side its ...and disambiguation ... See full document

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