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...
Ngày tải lên: 26/11/2015, 13:03
... 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...
Ngày tải lên: 31/03/2014, 03:20
... 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...
Ngày tải lên: 26/11/2015, 13:03
Báo cáo khoa học: "Active learning for interactive machine translation" pot
... Computational Natural Language Learning, pages 315–321 Jes´ s Gonz´ lez-Rubio, Daniel Ortiz-Mart´nez, and u a ı Francisco casacuberta 2011 An active learning scenario for interactive machine translation ... Association for Computational Linguistics, pages 160–167 253 Daniel Ortiz-Mart´nez, Ismael Garc´a-Varea, and ı ı Francisco Casacuberta 2010 Online learning for interactive...
Ngày tải lên: 31/03/2014, 20:20
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...
Ngày tải lên: 20/02/2014, 09:20
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...
Ngày tải lên: 20/02/2014, 04:20
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...
Ngày tải lên: 20/02/2014, 04:20
Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
... active learning for domain adaptation, followed by count-merging Next, we describe an EMbased algorithm to estimate the sense priors in the new domain Performance of domain adaptation using active ... adaptation examples added (%) Figure 3: Using true predominant sense for the nouns the sense priors in WSJ Using this new set of training examples, we perform domain adapta...
Ngày tải lên: 08/03/2014, 02:21
Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx
... selection for statistical grammar induction In Proc EMNLP/VLC, pages 4552 Ưd ặ Rebecca Hwa 2001 On minimizing training corpus for parser acquisition In Proc Computational Natural Language Learning ... Elaine Califf, and Raymond J Mooney 1999 Active learning for natural language parsing and information extraction In Proc International Conf on Machine Learning, pages 406414...
Ngày tải lên: 17/03/2014, 08:20
Báo cáo khoa học: "The Best of Both Worlds – A Graph-based Completion Model for Transition-based Parsers" pot
... advantages of the transition-based strategy, the integrated algorithm we are looking for has to be transition-based at the top level The advantages of the graph-based approach – a more globally informed ... issue of transition-based parsing: in many situations, a transition-based parser is forced to make an attachment decision for a given input word at a point...
Ngày tải lên: 17/03/2014, 22:20
Audio-based Event Detection for Sports Video pot
... points for each event, which aided this process Using this information, a window from the start of the event to the end of the crowd response was created, for each true event To measure performance, ... larger training sample performed better 3.2 Event Detection Results To measure the event detection approach, we gathered match reports and detailed game statistics for two n...
Ngày tải lên: 23/03/2014, 13:20
Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... Osborne 2003b Cotraining for statistical machine translation In Proceedings of the 6th Annual CLUK Research Colloquium Chris Callison-burch 2003 Active learning for statistical machine translation ... Active learning for statistical phrase-based machine translation In NAACL Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, and Robert Moore 2008 Indirect-hmmbased hypot...
Ngày tải lên: 23/03/2014, 16:21
Báo cáo khoa học: "Semi-Supervised Active Learning for Sequence Labeling" pptx
... label sequence y ∗ for an observation sequence x (cf Equations (1) and (7)): Uλ (x) = − Pλ (y ∗ |x) (8) Sequences for which the current model is least confident on the most likely label sequence ... supervised Active Learning (FuSAL) 3.2 Semi-Supervised Active Learning In the sequence labeling scenario, an example which, as a whole, has a high utility Uλ (x), can still exhi...
Ngày tải lên: 23/03/2014, 16:21
Báo cáo khoa học: "Assessing the Costs of Sampling Methods in Active Learning for Annotation" potx
... (1996) in the implementation of vote entropy for sentence selection using these models When comparing the relative performance of AL algorithms, learning curves can be challenging to in6 7 terpret ... Thus, in POS tagging both the benefit (increase in accuracy) and cost of annotating a sentence depend not only on properties of the sentence but also on the order in...
Ngày tải lên: 31/03/2014, 00:20
Báo cáo khoa học: "Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization" pdf
... the text, and interconnects words or other text entities with meaningful relations For the task of sentence extraction, the goal is to rank entire sentences, and therefore a vertex is added to ... from a sentence to sentences that follow in the text (directed forward); or (c) directed weighted graph with the orientation of edges set from a sentence to previous sentences...
Ngày tải lên: 31/03/2014, 03:20