name recognition
Recurrent neural network models for disease name recognition using domain invariant features
... Table 3 shows the results obtained by different RNN models with only character level word em- bedding features. For the task A (Disease name recognition) Bi-LSTM and NN models gave com- petitive performance ...
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Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
... name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins or speaker tongues) a multilingual acoustic model is combined with a ...
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An Investigation of Recurrent Neural Architectures for Drug Name Recognition
... Drug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) ...drug name mentions in un- structured biomedical texts and classify them into predefined ...
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A Machine Learning Approach for Phenotype Name Recognition
... lations (for instance, (Coulet et al., 2010)) use only dictionary-based techniques to recognize the phenotypes in the text. Although many biomedical-term-specialized dictionaries are available, we are not aware of a ...
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Exploring Word Embedding for Drug Name Recognition
... of word embedding features would allow us to ac- curately detect even those drugs that are not in the training set or in the DINTO ontology. A word embedding is a function to map words to high- dimensional vectors. At ...
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Contributions of Signal-detection Mechanisms and Semantic Memory Representations to Famous Name Recognition
... word recognition more generally ...famous name recognition has separated trials that were only associated with experiences of familiarity from those that were also associated with semantic knowledge ...
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Name recognition in autism: EEG evidence of altered patterns of brain activity and connectivity
... Finally, recognition of visually presented names re- quires an interaction between distant posterior and an- terior regions: the former is involved in initial processing of visual stimuli [49, 50], the latter—in ...
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Automatic Product Name Recognition from Short Product Descriptions
... product name with two tokens ...product name in the product descrip- tion and the fact that it was able to correctly tag all the tokens in class ’O’ does not add any value to this classifier as a product ...
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Chinese Organization Name Recognition Using Chunk Analysis
... From above experiments, we can make some conclusions: (1) The simplified N-best cascade model can select the front N-best results as the candidates of the next phase, so the errors propagation will be lim- ited. ...
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Dictionary Based Approaches in Protein Name Recognition
... protein/gene name from Medline abstracts is an important task in the biomedical ...protein/gene name dictionary is a major task of the biological ...gene name and typographical ...protein/gene ...
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Validation of the face name pairs task in major depression: impaired recall but not recognition
... and name recognition. Following the delayed Name Recall and delayed Face Name Retrieval, participants were instructed that they would be see fourteen faces on the screen, presented ...
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A Joint Chinese Named Entity Recognition and Disambiguation System
... With the development of NER, there have been some researches on combining this compo- nent with entity linking (EL). Stern et al. (2012) introduced a system based on a joint application of NER and EL, where the NER ...
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Name Translation based on Fine grained Named Entity Recognition in a Single Language
... We proposed and analyzed a name translation method for alleviating data sparseness of NEs in SMT. Our method is based on a bilingual named entity recog- nizer depending on monolingual fine-grained NER and ...
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NLP: Rule based Name Entity Recognition
... In Afan Oromo, tokenization is a trivial problem as its writing fashion is identical to English since words are separated by a white space. In fact, there are circumstances in which two words are treated as a single ...
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Improving Name Origin Recognition with Context Features and Unlabelled Data
... the name lan- guage of origin, we use the discrimi- native classification maximum entropy model and view the task as a classifica- tion ...of name origin recognition for names written in Chinese from ...
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Name Origin Recognition Using Maximum Entropy Model and Diverse Features
... Unlike previous work (Qu and Grefenstette, 2004; Li et al., 2006; Li et al., 2007) where NOR was formulated with a generative model, we re- gard the NOR task as a classification problem. We further propose using a ...
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Evaluating and Combining Name Entity Recognition Systems
... There are different evaluation metrics for the evaluation of NER systems (Nadeau and Sekine. 2007). The evaluation is basically to check the tool’s ability on finding the boundaries of names and their correct types. Most ...
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Enhance Chinese Medical Name Entity Recognition with Etymon Features
... Chinese named entity recognition can be regarded as a sequence labeling task. In this paper, we use the classic BIEO (Begin, Inside, End, Outside) tagging schema. That is, each character is tagged with “B-X”, ...
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Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... pattern recognition, and has achieved very good effect on pre-classification of characters in Chinese character recognition [8] and classification and matching of speech recog- nition ...do name ...
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Survey on Name Entity Recognition
... Entity Recognition:- Named Entity Recognition is the process of identification and classification of all proper nouns in a given text document or a sentence into pre- defined classes such as persons, ...
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