Multi criteria based active learning for named entity recognition
Báo cáo khoa học: "Multi-Criteria-based Active Learning for Named Entity Recognition" ppt
... informative for current model 2.1.2 Informativeness Measure for Named Entity Based on the above informativeness measure for a word, we compute the overall informativeness degree of a named entity ... criteria all together for active learning Furthermore, such measures and strategies can be easily adapted to other active learning tasks as well Multi-criteria for NER...
Multi criteria based active learning for named entity recognition
... Multi- Criteria- based Active Learning for Named Entity Recognition ABSTRACT In this thesis, we propose a multi- criteria- based active learning approach and effectively apply it to the task of named ... biomedical named entity recognition 51 Figure 5.2 Active learning curves: effectiveness of the two multi- criteriabased active learning strategies com...
Multi graph based active learning for interactive video retrieval
... closed form solution f ∗ = (I − αS)−1 Y 3.3 (3.16) Extension to multi- graph learning Single graph- based methods can be naturally extended to multi- graph based methods for multi- modality learning Multi- modality ... single graph based learning to multi- graph based leaning for both early and late fusion schemes 3.3.1 Early fusion of multi- modalities Graph...
Báo cáo khoa học: "Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition" ppt
... tuning), using the previously trained prior for regularization If we are unable to find a match between features in the training and tuning datasets (for instance, if a word appears in the tuning ... Learning on the test data: Leveraging ‘unseen’ features In Proc Twentieth International Conference on Machine Learning (ICML) Sebastian Thrun 1996 Is learning the n-th thing any eas...
Tài liệu Báo cáo khoa học: "Inducing Gazetteers for Named Entity Recognition by Large-scale Clustering of Dependency Relations" ppt
... performing the clustering with a vocabulary that is large enough to cover the many named entities required to improve the accuracy of NER is difficult We enabled such large-scale clustering by ... left-most longest heuristics for the case of the c500k-2k gazetteer A comparison of the effect of these gazetteers is shown in Table The performance is measured by the F-measu...
Tài liệu Báo cáo khoa học: "Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition" pdf
... entity For 98.0% of the named entities in the training data of the shared task in the 2004 JNLPBA, the label of the preceding entity was “O” Reduction of Training/Inference Cost The straightforward ... Since the preceding entity is not necessarily adjacent to the current entity, we achieve this by embedding the information on preceding labels for name...
Báo cáo khoa học: "Learning-Based Named Entity Recognition for Morphologically-Rich, Resource-Scarce Languages" docx
... well for Bengali for two reasons First, Bengali is a relatively free word order language, and hence the distributional information collected for Bengali words may not be as reliable as that for ... distributional and morphological information for part-of-speech induction In Proceedings of EACL, pages 59–66 Andrei Mikheev, Marc Moens, and Claire Grover 1999 Named entity recognit...
Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf
... multi-task active learning (MTAL), an active learning paradigm for multiple annotation tasks We propose a new AL framework where the examples to be annotated are selected so that they are as informative ... selection performed about the same as random selection for the NE task, while for the parsing task extrinsic selection performed markedly worse This shows that examples that...
Báo cáo khoa học: "Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning" pdf
... Ozaku, Masao Utiyama, and Hitoshi Isahara 2000 Named entity extraction based on a maximum entropy model and transformation rules (in Japanese) Journal of Natural Language Processing, 7(2):63–90 Takehito ... and Manabu Sassano 2000 Minimally supervised Japanese named entity recognition: Resources and evaluation In Proceedings of the Second International Conference on L...
Báo cáo khoa học: "Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems" pdf
... alternative use of machine learning in named-entity recognition and classification Instead of constructing an autonomous NERC system, the system constructed with the use of machine learning assists ... regarding mainly the classification grammar In fact, some of our classification rules were found to be too general, leading to wrong classifications For example, accordi...
Báo cáo khoa học: "Active Sample Selection for Named Entity Transliteration" pptx
... using an active sample selection scheme The sample selection process is guided by the Sufficient Spanning Features criterion (SSF) introduced in section 2.2, to identify informative samples in the ... highly informative source language candidate NEs with target language counterparts We developed a criterion for adding new samples, Sufficiently Spanning Features (SSF), which quantifies...
Báo cáo khoa học: "Clique-Based Clustering for improving Named Entity Recognition systems" pot
... 59.92 64.03 64.76 Stanford + XIP Stanford + XIP + CBC M Stanford + XIP + CBC A GATE + XIP GATE + XIP + CBC M GATE + XIP + CBC A GATE + Stanford GATE + Stanford + CBC M GATE + Stanford + CBC A 72.85 ... addressed in our team using this approach For example, we intend to use the concept of clique-based clustering as a soft clustering method for other issues Except for XIP+CBC A in lin...
Tài liệu Báo cáo khoa học: "Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing" docx
... of active learning, since the selection strategy with large margin classifiers (Section 2.2) is much simpler and seems more practical for active learning in Japanese dependency parsing with smaller ... we will invent the effective use of finer-grained constituents, e.g., head-modifier pairs, rather than sentences in active learning for Nivre’s algorithm with large...
Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
... translation) Figure shows the learning curves for the same systems and selection methods as in Figure but now the x-axis measures the number of foreign words in the training data The difference between ... and Anoop Sarkar 2009 Active learning for multilingual statistical machine translation In Proceedings of the Joint Conference of the 47th Annual Meeting of th...
Tài liệu Báo cáo khoa học: "Mining Wiki Resources for Multilingual Named Entity Recognition" pdf
... available, for additional information • A second pass checks for multi-word phrases that exist as titles of Wikipedia articles • We look for certain types of person and organization instances • We perform ... to be annotated contains no Wikipedia specific information or formatting In the second pass, we look for strings of to words which were not wikilinked but which have Wikipedia en...
Từ khóa:
- cross domain bootstrapping for named entity recognition
- bootstrapping named entity recognition by means of active machine learning
- active learning for statistical phrase based machine translation
- methods in active learning for annotation
- named entity recognition for catalan using spanish resources
- learningbased named entity recognition
- bootstrapping named entity recognition
- japanese named entity recognition