[PDF] Top 20 Person Name Disambiguation based on Topic Model
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Person Name Disambiguation based on Topic Model
... (Person Name Disambiguation) and detail our approaches. Person Name Disambiguation is typically viewed as an unsupervised clustering problem where the aim is to partition a ... See full document
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Chinese Personal Name Disambiguation Based on Vector Space Model
... Space Model to resolve ambiguities between people having the same personal ...Entity-Mention model that leverages heterogeneous entity knowledge for the entity linking ...Chinese person name ... See full document
7
Chinese Personal Name Disambiguation Based on Person Modeling
... Assume the three factors profession, co- occurrence personal name and co-occurrence common terms are independent, and adopt Stan- ford certainty theory to synthesize the three similarities. The Stanford certainty ... See full document
5
A Topic Model for Word Sense Disambiguation
... Figure 2: The possible paths to reach the word “cancer” in W ORD N ET along with transition probabilities from the medically-themed Topic 2 in Table 2, with the most probable path highlighted. The dashed lines ... See full document
10
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... in name disam- biguation, but the momentous attributes related to the person appearing in the text is very im- portant to distinguish the persons, for example, there are some sentences about the sports ... See full document
6
Weakly Supervised Learning for Cross document Person Name Disambiguation Supported by Information Extraction
... same name. In tracking person entities in a large document pool, it is important to determine whether multiple mentions of the same name across documents refer to the same entity or ...only ... See full document
8
Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types
... organization name, the Stanford named-entity recognizer (NER) based on the 7- class model (Finkel et ...This model has been trained on the MUC6 ...The model recognizes location, ... See full document
9
You Shall Know People by the Company They Keep: Person Name Disambiguation for Social Network Construction
... person name clustering amounts to document clus- ...query name. If the query name is not ambiguous at all, very low similarity between documents suffices to group them into one ...query ... See full document
11
Named Entity Disambiguation for little known referents: a topic based approach
... entity disambiguation in previous ...(LDA) Model and introduce a hidden variable that captures relationships between ...LDA model to include global information from documents to identify ... See full document
12
Unsupervised Name Ambiguity Resolution Using A Generative Model
... for name disambiguation is based on the advantages generative models offer in contrast to the existing ...instance, topic models such as Latent Dirichlet allocation (LDA) method (Blei et ... See full document
8
Topic Models for Word Sense Disambiguation and Token Based Idiom Detection
... type. Model I is compared with UPV-WSD, and Model II is com- pared with ...that Model II performs statistically significantly better than the best participating system of the same type TKB-UO ... See full document
10
Adaptive Resonance Theory Based Two Stage Chinese Name Disambiguation
... same name, which makes it time-consuming to search information of a particular individual on the ...web. Name disambiguation study is necessary to help users find the person of interest more ... See full document
6
A Data Driven Approach for Person Name Disambiguation in Web Search Results
... are Name Entities (NE) and Bag of Words (BoW) weighted by TF-IDF ...information based on the noun phrases appearing in the ...HAC Topic (Liu et ...a topic capturing method to create a Hit List ... See full document
10
Heterogeneous Networks and Their Applications: Scientometrics, Name Disambiguation, and Topic Modeling
... citation- based summarization, that could likely be ap- proached using this framework with the appropri- ate addition of new types of nodes into the hetero- geneous AAN network, there are even some poten- tial ... See full document
14
A Template Based Hybrid Model for Chinese Personal Name Disambiguation
... We set different priority corresponding to differ- ent kind of keywords. We consider that the most discriminating words are personal names. When trying to distinguish someone with a same name, other personal ... See full document
6
Unsupervised Personal Name Disambiguation
... of disambiguation infor- mation for proper nouns is the space of associated ...bag-of-words model, fur- ther accuracy can be gained by extracting specific types of association, such as familial ... See full document
8
Explore Person Specific Evidence in Web Person Name Disambiguation
... web person name disambiguation task which has been suf- fering from the mismatch of vocabulary and lack of clues in web ...collecting person specific evidences from a corpus level can provide ... See full document
11
A Pipeline Approach to Chinese Personal Name Disambiguation
... personal name extension After discarding unrelated documents, we need to recognize the full Chinese personal ...personal name has not more than three char- acters (We don’t consider the compound sur- names ... See full document
5
Automatic Name Line Detection for Person Indexing Based on Overlay Text
... a name text line, it is necessary not analyzing the whole overlay texts in the one ...region based on the news program production ...interviewee's name and the ... See full document
8
Reducing Fragmentation in Incremental Author Name Disambiguation
... The two traditional author grouping methods are HHC (Heuristic Hierarchical Clustering) [Cota et al. 2010] and LASVM-DBSCAN [Huang et al. 2006]. HHC is a two-step based method. Its first step creates clusters of ... See full document
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