[PDF] Top 20 Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
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Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
... out-of-the-box feature gen- erator and purposefully did not use specifically en- gineered features, dictionaries, or other techniques commonly employed to boost performance on such ...degree named ... See full document
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Cross lingual Transfer Learning for Japanese Named Entity Recognition
... This work explores cross-lingual transfer learning (TL) for named entity recognition, focusing on bootstrapping Japanese from En- glish. A deep neural network model is adopted and the ... See full document
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Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task
... first Named Entity Recognition (NER) task to recognize chemical and protein entities from Spanish biomedical ...of transfer learning with language models, we in- troduce the BERT ... See full document
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Label Aware Double Transfer Learning for Cross Specialty Medical Named Entity Recognition
... of named entity recog- nition (NER) from electronic medical records, which is one of the most fundamental and critical problems for medical text ...double transfer learning framework (La- DTL) ... See full document
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Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets
... Our solution is based on a sequence labeling sys- tem that uses a bidirectional LSTM (Hochreiter and Schmidhuber, 1997) which extracts features for training a Conditional Random Field (Sut- ton and McCallum, 2012). We ... See full document
6
Named Entity Recognition for Novel Types by Transfer Learning
... use transfer learning to deal with NER data sets with different label ...for transfer is better than no transfer, and joint decoding is better than cascading ... See full document
7
Dual Adversarial Neural Transfer for Low Resource Named Entity Recognition
... two transfer strategies have their own advantages over each other in dif- ferent situations, which is largely ignored by ex- isting ...adversarial learning, i.e., GRAD and AT, into one transfer ... See full document
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The impact of near domain transfer on biomedical named entity recognition
... supervised learning, which is the scenario we explore here, recent methods include: feature augmentation (Daum´e III, 2007; Arnold et ...in transfer learning (also known as domain adaptation) ... See full document
10
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
... 5,942 named entities in the development ...the entity correctly, ...gazetteer feature, gaz c, and the Wikipedia feature, wp c, fired in each ...gazetteer feature fired by using “g”, and ... See full document
10
Evaluation of Punjabi Named Entity Recognition using Context Word Feature
... Machine Learning techniques have been found to be very useful in this ...machine learning techniques is highly dependent on large corpora annotated with named ...Extended Named Entity ... See full document
7
Exploiting Domain Structure for Named Entity Recognition
... a feature as generalizable if it is useful for NER in all training domains, and propose a generalizability-based fea- ture ranking method, in which we first rank the fea- tures within each training domain, and ... See full document
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Named Entity Recognition Using Machine Learning Approaches
... Shipra Dingare, MalvinaNissim Jenny Finkel, Christopher Manning and Claire Grover [3], the author presents a Named Entity Recognition based on maximum entropy system for extracting entities present ... See full document
11
Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
... direct transfer named entity ...rect transfer and self-training with additional features, exclusive to the target language, both bring benefits in this setting, but that combining these ... See full document
9
Stopping Criteria for Active Learning of Named Entity Recognition
... statistical learning methods are impor- tant and widely successful tools for natural lan- guage ...Active learning (AL) reduces this annota- tion effort by selecting unlabeled examples that are maximally ... See full document
8
Arabic Named Entity Recognition using Optimized Feature Sets
... list goes through a manual validation step to ensure quality. On the training and test data, we tag only the entities which exist entirely in the gazetteer, e.g. if the entity ‘United States of America’ exists in ... See full document
10
Exploiting Named Entity Taggers in a Second Language
... of Named Entities (NEs) in many natural language processing tasks, there has been a lot of work aimed at developing accurate named entity extractors (Borthwick, 1999; Velardi et ... See full document
6
An Effective Two Stage Model for Exploiting Non Local Dependencies in Named Entity Recognition
... It may appear at first glance, that our frame- work can only learn to encourage entities to switch to the most popular label assigned to other occur- rences of the entity sequence and similar entity se- ... See full document
8
Feature Subset Selection in Conditional Random Fields for Named Entity Recognition
... [21] L. Smith, L. K. Tanabe, R. J. nee Ando, C.-J. Kuo, I.-F. Chung, C.- N. Hsu, Y.-S. Lin, R. Klinger, C. M. Friedrich, K. Ganchev, M. Torii, H. Liu, B. Haddow, C. A. Struble, R. J. Povinelli, A. Vlachos, W. A. ... See full document
7
Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition
... In this paper we consider different contextual and orthographic word-level features. These features are language independent in nature, and can be very easily derived for almost all the languages with a very little ... See full document
10
Extended Named Entity Hierarchy
... political entity, following the ACE definition) and “GOE” (geographical and or- ganizational entity, which can refer to a location as well as an organization, like a museum or ... See full document
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