[PDF] Top 20 Multi Criteria based Active Learning for Named Entity Recognition
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Multi Criteria based Active Learning for Named Entity Recognition
... supervised learning in which the entire corpus are labeled manually, active learning is to select the most useful example for labe ling and add the labeled example to training set to retrain ... See full document
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A Multi task Learning Approach to Adapting Bilingual Word Embeddings for Cross lingual Named Entity Recognition
... Wanxiang Che, Mengqiu Wang, Christopher D. Man- ning, and Ting Liu. 2013. Named entity recogni- tion with bilingual constraints. In Proceedings of the 2013 Conference of the North American Chapter of the ... See full document
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A Multi Classifier Based Prediction Model for Phishing Emails Detection Using Topic Modelling, Named Entity Recognition and Image Processing
... Attackers use distinctive systems to defeat phishing discovery mechanisms, utilizing the frequency of words related to finance and emergency. Therefore alternate solutions must be used to detect phishing mails. Topic ... See full document
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A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
... medical named entity recognition model to extract entity names first, then run a medical named entity normaliza- tion model to link extracted names to a controlled vocab- ulary ... See full document
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Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
... from multi-lingual resources (Bharadwaj et ...though active learning provides a more direct means of improving NER ...quality. Active Learning Active learning seeks to ... See full document
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Multi Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing
... We also conducted the following two types of hypothesis testing. The first one is a McNe- mar paired test on the labeling disagreements of words assigned by HanPaNE and the others as in (Sha and Pereira, 2003). All the ... See full document
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Multi-Engine Approach for Named Entity Recognition in Bengali
... Named Entity Recognition (NER) is an important tool in almost all Natural Language Processing (NLP) application areas including machine translation, question answering, information retrieval, ... See full document
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On Proper Unit Selection in Active Learning: Co Selection Effects for Named Entity Recognition
... The success of AL is usually measured as reduc- tion of annotation effort according to some cost mea- sure. Traditionally, the most common cost measure considers a unit cost per annotated token, which fa- vors AL systems ... See full document
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Multi grained Named Entity Recognition
... nested named entities since every possible entity will be examined and ...for learning feature represen- tations; 6) Ju et ...entities based on inner ones; 7) Wang et ... See full document
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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling
... novel active learning method for ontological event extraction, which is more complex than the simple PPI ...error based methods and the conventional committee-based ...of named ... See full document
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Proactive Learning for Named Entity Recognition
... of active learning is to minimise the cost of producing an annotated dataset, in which annotators are assumed to be per- fect, ...tive learning is a generalisation of active learning ... See full document
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Stopping Criteria for Active Learning of Named Entity Recognition
... We investigate three different stopping criteria in this paper. First, a user of a classification system may want to set a minimum absolute performance for the system to be deployed. The standard way of assessing ... See full document
8
Deep Active Learning for Named Entity Recognition
... scale. Active learn- ing seeks to ameliorate this problem by strategi- cally choosing which examples to annotate, in the hope of getting greater performance with fewer ...The learning process consists of ... See full document
5
An active learning-enabled annotation system for clinical named entity recognition
... enhanced by AL include word sense disambiguation (WSD) [2], text classification [3], and information extrac- tion [4]. Recently, several studies have also presented the effectiveness of AL to NLP tasks in the clinical ... See full document
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Named Entity Recognition for Telugu
... person entity and ”ba:d” is a location suffix clue for identifying “haidara:ba:d”, “adila:ba:d” etc as place ...unidentified named entities. These new named entities are also added to the ... See full document
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Role-based model for Named Entity Recognition
... Named Entity Recognition (NER) poses new challenges in real-world documents in which there are entities with different roles according to their purpose or mean- ...them based on their role is ... See full document
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Chemical named entities recognition: a review on approaches and applications
... chemical entity ex- traction. In this paper, a review of the solutions based on the NER approaches was provided with an outlook on applied approaches and extracted chemical ...machine learning models ... See full document
12
Chinese Named Entity Recognition with Graph based Semi supervised Learning Model
... The graph-based semi-supervised learning (GBSSL) methods have been successfully em- ployed by many researchers. For instance, Gold- berg and Zhu (2006) design the GBSSL model for sentiment categorization; ... See full document
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Rule Based Named Entity Recognition in Urdu
... of named entity recognition for resource scarce languages among South Asian ...the named entity recognition task by outlining the challenges in NER in any language along with ... See full document
10
Named Entity Recognition for Novel Types by Transfer Learning
... fine-grained entity typol- ogy has been shown to improve other tasks such as re- lation extraction (Ling and Weld, 2012) and question answering (Lee et ...Transfer Learning for ... See full document
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