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[PDF] Top 20 Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

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Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features

... in Chinese, a Chinese name disam- biguation method based on adaptive clus- tering with the attribute features is pro- ...character attribute features is ... See full document

6

A Multi stage Clustering Framework for Chinese Personal Name Disambiguation

A Multi stage Clustering Framework for Chinese Personal Name Disambiguation

... rule-based clustering techniques for disambiguating sportsman ...topic features for PND on the sportsman ...knowledge based technique for document topic ... See full document

6

Clustering Technique in Multi Document Personal Name Disambiguation

Clustering Technique in Multi Document Personal Name Disambiguation

... unsupervised clustering problem based on vector space ...the features, which are used to create a similarity ...explored features in local ...mantic features in unsupervised ... See full document

8

A Pipeline Approach to Chinese Personal Name Disambiguation

A Pipeline Approach to Chinese Personal Name Disambiguation

... additional features for ...stage clustering algorithm to improve the low recall ...reliable features (like named entities) are used to con- nect documents about the same ...new features ... See full document

5

The Chinese Persons Name Diambiguation Evaluation: Exploration of Personal Name Disambiguation in Chinese News

The Chinese Persons Name Diambiguation Evaluation: Exploration of Personal Name Disambiguation in Chinese News

... Regarding clustering algorithms, agglomerative hierarchical clustering is popular in the submis- sions. Moreover, we find that weight learning is very crucial for similarity matrix, which has a big impact ... See full document

7

Chinese Personal Name Disambiguation Based on Vector Space Model

Chinese Personal Name Disambiguation Based on Vector Space Model

... entities features with the importance of various named ...each name docu- ...the clustering are ...entity features, then dif- ferent weights have different ... See full document

7

A Template Based Hybrid Model for Chinese Personal Name Disambiguation

A Template Based Hybrid Model for Chinese Personal Name Disambiguation

... the clustering for this standard class may not have a good ...this clustering algorithm is that the text must be large enough for this algorithm to extract useful fea- ture, and more importantly the ... See full document

6

Attribute based Chinese Named Entity Recognition and Disambiguation

Attribute based Chinese Named Entity Recognition and Disambiguation

... Bekkerman and McCallum (2005) focused on social network to find the documents that refer to a particular person using two methods: one based on the link structure and the other used agglom- erative/conglomerate ... See full document

5

Combine Person Name and Person Identity Recognition and Document Clustering for Chinese Person Name Disambiguation

Combine Person Name and Person Identity Recognition and Document Clustering for Chinese Person Name Disambiguation

... global features and document features (Han et ...extraction based tech- niques which recognizes/extracts the description features of one person name (Heyl and Neumann 2007; Chen et ... See full document

7

Adaptive Resonance Theory Based Two Stage Chinese Name Disambiguation

Adaptive Resonance Theory Based Two Stage Chinese Name Disambiguation

... place. Attribute extraction is a subtask of WePS2, con- sisting of extracting 18 kinds of “attribute values” for target individuals 2 ...Ontology-driven attribute extraction from unstructured text ... See full document

6

DLUT: Chinese Personal Name Disambiguation with Rich Features

DLUT: Chinese Personal Name Disambiguation with Rich Features

... as features, and then com- putes the similarity of each two documents in the corpus based on feature ...glomerative Clustering (HAC) algorithm (AK Jain et ... See full document

5

Towards Robust Unsupervised Personal Name Disambiguation

Towards Robust Unsupervised Personal Name Disambiguation

... To capture the real data distribution, we use two sets of naturally occurring data: Bagga’s corpus and the Boulder Name corpus, which is a news corpus locally acquired from a web search. Bagga’s corpus is a ... See full document

9

CLUSTERING WITH SIDE INFORMATION FOR MINING TEXT DATA

CLUSTERING WITH SIDE INFORMATION FOR MINING TEXT DATA

... centroids) based on the well-known Winner-Take- All competitive ...document clustering is the Hybrid Technique (Scatter-gather technique is the hybrid clustering technique) ...study based on ... See full document

7

Attribute Based and Value Based Clustering: An Evaluation

Attribute Based and Value Based Clustering: An Evaluation

... an attribute vector of size 500 is sufficient to produce a more accurate result than using a value vector of three times the ...pure attribute- and value- descriptions (to 4753 and 4969, respectively) does ... See full document

8

Unsupervised Personal Name Disambiguation

Unsupervised Personal Name Disambiguation

... Figures 2/3 and 4 each have two subfigures. The left/top figure shows the extracted seed sets. The right/bottom figure shows the final clustering of the entire document collection. In each figure, there are three ... See full document

8

User Name Disambiguation in Community Question Answering

User Name Disambiguation in Community Question Answering

... In some cases, an off-line person asks people around a difficult question verbally, then he/she may be recommended by word of mouth to vis- it the CQA homepages of some potential answer providers. However, the links to ... See full document

7

Integrating Collocation Features in Chinese Word Sense Disambiguation

Integrating Collocation Features in Chinese Word Sense Disambiguation

... Based on the 20 words, we extracted 28,000 sentences from the 60 MB People’s Daily News with segmentation information as our train- ing/test set which is then manually sense-tagged. The collocation list is ... See full document

8

An Empirical Study of Chinese Name Matching and Applications

An Empirical Study of Chinese Name Matching and Applications

... While many NLP tasks rely on name matching, research on name matching techniques themselves has not been a major focus within the NLP com- munity. Most downstream NLP systems have sim- ply employed a static ... See full document

7

Person Name Disambiguation based on Topic Model

Person Name Disambiguation based on Topic Model

... Personal Name Disambiguation ...person name is indicative of its ascription. The goal of the clustering task was to group web pages containing the target person's name, so that pages ... See full document

8

Enhance Chinese Medical Name Entity Recognition with Etymon Features

Enhance Chinese Medical Name Entity Recognition with Etymon Features

... for name entity recognition. Dictionary-based and rule-based methods recognize named entities by external dictionaries or hand-crafted ...Methods based on machine learning include Maximum ... See full document

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