Recognition and dependency
Inducing Gazetteers for Named Entity Recognition by Large Scale Clustering of Dependency Relations
... We propose using large-scale clustering of de- pendency relations between verbs and multi- word nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since depen- dency relations capture the ...
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Joint Transition based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts
... transition-based dependency parsing method with disfluency ...evaluate dependency parsing and disfluency detection performance for real speech ...to recognition errors in the ASR ...
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Implementation of Logo Matching & Recognition System Based on Context Dependency for Image & Video
... In our dissertations we have evaluated logo matching and recognition based on context dependency for image and video. The results are obtained by testing some original and fake test image. By applying ...
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Linguistic Processing Using a Dependency Structure Grammar for Speech Recognition and Understanding
... LINGUISTIC PROCESSING USING A DEPENDENCY STRUCTURE GRAMMAR FOR SPEECH RECOGNITION AND UNDERSTANDING L I N G U I S T I C P R O C E S S I N G U S I N G A D E P E N D E N C Y S T R U C T U R E GRAMMAR FO[.] ...
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Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?
... speech recognition. The experiments carried out in automatic speech recognition have shown perfor- mance degradation for “atypical” population such as children or elderly people [25, 10, 26] and have shown ...
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Learning with Lookahead: Can History Based Models Rival Globally Optimized Models?
... This paper shows that the performance of history-based models can be significantly im- proved by performing lookahead in the state space when making each classification deci- sion. Instead of simply using the best ac- ...
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Robust Logo Matching and Recognition Based on Context Dependency Similarity in Video Application
... 339 A generic system for logo detection and recognition in images taken in real world environments must comply with contrasting requirements. On the one hand, invariance to a large range of geometric and ...
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The Complexity of Recognition of Linguistically Adequate Dependency Grammars
... The latter word classes define a valency for words of class R for the other end point and a possibly discontinuous valency for another word of the identical class representing the end po[r] ...
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Review of Logo Matching & Recognition System Based On Context Dependency
... Through this paper, the design of Logo matching and recognition which is important for brand advertising and surveillance applications is proposed. It discovers either improper or non-authorized use of logos. ...
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Frequency maps as expert instructions to lessen data dependency on real-time traffic light recognition.
... The main goal of this work was to evaluate whether the inclusion of Expert Instruction (IE) could decrease the amount of data needed to train a machine learning algorithm in the Traffic Light Recognition (TLR) ...
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Modelling dependency structural of the wind energy in Lebanon
... For several decades, wind power is experiencing tremendous growth, however, the production of wind energy depends on wind intensity, strongly volatile, and is therefore characterized by a high degree of uncertainty. ...
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Dependency Guided LSTM CRF for Named Entity Recognition
... effective dependency-guided LSTM-CRF model to encode the complete de- pendency trees and capture the above proper- ties for the task of named entity recognition ...the dependency relations and ...
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
... We present an easy-to-use and fast toolkit, namely VnCoreNLP—a Java NLP annota- tion pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks including word segmentation, part-of-speech ...
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Efficient Inner to outer Greedy Algorithm for Higher order Labeled Dependency Parsing
... From Table 3 we can see among the 10 labels, there are 5 labels — “MNR”, “ADV”, “TMP”, “DIR”, “LOC” — which are a specific kind of ad- verbials. This illustrates that our parser performs well on the recognition of ...
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Constraints on Non Projective Dependency Parsing
... for dependency-based ...projective dependency grammar is weakly equiva- lent to context-free grammar, Neuhaus and Br¨oker (1997) have shown that the recognition problem for a dependency ...
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Dependency Language Models for Transition based Dependency Parsing
... The second group uses the unlabeled data in- directly. Koo et al. (2008) used word clusters built from unlabeled data to train a parser. Chen et al. (2008) used features extracted from short distance relations of a ...
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Dependency Parsing with Short Dependency Relations in Unlabeled Data
... effective dependency parsing approach of incorporating short de- pendency information from unlabeled ...deterministic dependency parser, which can provide relatively high performance for short dependencies ...
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Automated Attendance and Bus Transportation system using NFC and Face Recognition
... face recognition that relies on probabilistic models of Diverse feature Sets (MODEST) to facilitate the recognition process and benchmark it against the existing ...
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Functional capacity and dependency in transfer and dressing are associated with depressive symptoms in older people
... years, dependency in personal ADLs, ability to rise from a chair with armrests with help from no more than one person, mini-mental state examination (MMSE) 27 score ...
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Online Learning of Approximate Dependency Parsing Algorithms
... To create data sets for English, we used the Ya- mada and Matsumoto (2003) head rules to ex- tract dependency trees from the WSJ, setting sec- tions 2-21 as training, section 22 for development and section 23 for ...
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