[PDF] Top 20 Chinese Personal Name Disambiguation Based on Vector Space Model

... Entity disambiguation is a task pre-classification and later clustering prob- ...of Chinese names which include multiple defini- tions of personal names, and some documents about person ...each ... See full document

... To get the person’s term field, we identify a scope witch these terms occurred. We con- sider three kinds of scope for term field: the total document, the paragraph where the per- sonal name is present, sentence ... See full document

... All features are represented in vector space model. Every document is modeled as a ver- tex in the vector space. So every document can be seen as a feature vector. Before ... See full document

... are personal names. When trying to distinguish someone with a same name, other personal titles (such used name, pen name, stage name, ... See full document

... of disambiguation infor- mation for proper nouns is the space of associated ...ferentiated vector-based bag-of-words model, fur- ther accuracy can be gained by extracting specific types ... See full document

... Treating the problem as cross-document coreference re- solving, Bagga and Baldwin [2] use a standard vector space model. First of all, their system produces corefer- ence chains within each document. ... See full document

... to space and experimental time, this paper only classifies 0/1-2 classification, and gives the specific experimental ...of model classification effect on the test set in this ...support vector ... See full document

... In this paper we employ a CPN disambigua- tion system that extracts NE and common nouns from the input corpus as features, and then com- putes the similarity of each two documents in the corpus based on feature ... See full document

... voting model is a Kernel PCA-based model (Wu et ...from vector sets where, conceptually, the n-dimensional input vectors are nonlinearly mapped from their original space R n to a ... See full document

... of personal names in a corpus, existing approaches typically cast it as an unsupervised clustering problem based on vector space ...LDA model as feature ... See full document

... Cohen et al. (2003) compared various similarity schemes for the task of matching English entity names and concluded that the hybrid scheme they call SoftTFIDF performs best. SoftTFIDF is a to- ken-based similarity ... See full document

... The point wise mutual information for information retrieval (PMI-IR) was suggested by Turney as an unsupervised measure for the evaluation of the semantic similarity of words. It is based on word co-occurrence ... See full document

... As the earliest and also the most famous mathematics model in information search, its basic thought mean the text to adding authority characteristic vector: D=D T ,W ;T ,W ; ;T ,W Then i[r] ... See full document

... 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

... Word Sense Disambiguation Based on Structured Semantic Space*.. semantic space, as a foundation for word sense.[r] ... See full document

... a name string is insufficient to uniquely identify the corresponding ...same name string can refer to more than one ...person name in web search, with additional terms and 4% are identified simply as ... See full document

... feature space affects the performance of the Maxent model for period ...feature space significantly enhances the learning performance, and using a three-word window context gives better performance ... See full document

... the vector space, or aver- aging two long-forms is considerably less costly than a complete re-derivation of the word embed- ding space utilized by ...UAD’s vector spaces is pre- ferred as it ... See full document

... EN model or its parameter- tied variant achieves the highest score (though the distributionally-trained G EN -1 doesn’t per- form as well as the summing ...trained model performs best ... See full document

... updated based on weight of objects affected by ...The vector space model has been adapted to incorporate semantic information by increasing the tsf-isf value if a semantic relation holds ... See full document