[PDF] Top 20 Collective Classification for Fine grained Information Status
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Collective Classification for Fine grained Information Status
... on fine-grained IS classification by modelling further distinctions within the category of mediated mentions, such as comparative and bridging anaphora (see Examples 1 and 2, ... See full document
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Hierarchical CVAE for Fine Grained Hate Speech Classification
... many complicated generation tasks, such as hand- written digits (Kingma and Welling, 2013; Sali- mans et al., 2015), faces (Kingma and Welling, 2013; Rezende et al., 2014), and machine transla- tion (Zhang et al., 2016). ... See full document
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Fine Grained Genre Classification Using Structural Learning Algorithms
... this information will not be helpful and (ii) that this is a relatively poor substitute for an esti- mation on an independent, representative ...lower information content) than a lower level genre ... See full document
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Deep indicator for fine-grained classification of banana’s ripening stages
... these fine-grained features offers a function to automatically specify the ripening stages of banana given a new input image of a ...impressive classification accuracy of ...to ... See full document
10
An Attentive Neural Architecture for Fine grained Entity Type Classification
... providing fine-grained entity type predictions as ...allow information sharing be- tween related ...that fine-grained labels can be used as fea- tures to improve coarse-grained ... See full document
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Fine grained domain classification of text using TERMIUM Plus
... for fine-grained domain classification of texts, and a classi- fication method that achieves high ...turing information and the short text segments which we use to build our two datasets, one ... See full document
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Neural Architectures for Fine grained Entity Type Classification
... formance improvements when the sparse hand- crafted features are added to the neural models. In the absence of hand-crafted features, the aver- aging encoder suffer relatively poor performance and the attentive encoder ... See full document
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Embedding Methods for Fine Grained Entity Type Classification
... of fine grained entity type classifications based on label embeddings that allows for information sharing among related ...two fine grained entity-classification bench- marks and ... See full document
6
Detecting Visually Relevant Sentences for Fine Grained Classification
... tual information with image data, the training doc- uments were specifically chosen not to correspond to the 200 birds species in the Caltech-UCSD Birds-200-11 dataset, which were set aside as test ... See full document
6
Triple Classification Using Regions and Fine-Grained Entity Typing
... further fine- grained typing chain of city: city, municipality, region, phys- ical entity, entity, as illustrated in Figure ...type information than a single type (Ren et ...semantic ... See full document
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A Survey of Fine Grained Image Classification Based on Deep Learning
... image classification tasks, the fine-grained image has a small signal-noise ratio, and information containing sufficient discrimination often exists only in very small local ...area ... See full document
8
Towards Fine-grained Citation Function Classification
... We report performance and distribution in an- notated data for each citation function in Ta- ble 4. Note that the numbers in the “Distri- bution” column does not sum to 1, because we omit the NEUTRAL:Neutral category ... See full document
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Fine Grained Classification of Named Entities Exploiting Latent Semantic Kernels
... multi-context information can greatly improve the fine-grained classification of named entities, when compared to methods using single context ... See full document
9
Neural Fine Grained Entity Type Classification with Hierarchy Aware Loss
... Ren et al. (2016a) have proposed AFET, an FETC system, that separates the loss function for clean and noisy entity mentions and uses label- label correlation information obtained by given data in its parametric ... See full document
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Enhanced Genre Classification through Linguistically Fine-Grained POS Tags
... SW classification tasks starts from ...genre classification tasks regarding spoken texts generally receive better results than those of written ...6 classification tasks, and yields a competing ... See full document
10
Fine Grained Classification of Product Images Based on Convolutional Neural Networks
... labeled information can only explain the basic informa- tion of the goods, such as the name of the product name, the origin, the size, and price and so on, which are difficult to reflect the complete ... See full document
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Corpus level Fine grained Entity Typing Using Contextual Information
... addressed fine-grained NER (Yosef et ...more fine-grained types by using different features for mentions and embed- ding labels in the same ...correct classification of mentions in ... See full document
11
Extensible and fine-grained characteristics-positioned information storage in cloud computing
... another classification of a system based registering that happens over the web, Essentially a stage on from adequacy ...outsourcing information to cloud server pulls in stores of ...adaptable fine- ... See full document
7
Fine Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
... Most recently, Ren et al. (2016) have proposed AFET, an FETC system. AFET separates the loss function for clean and noisy entity mentions. AFET uses label-label correlation information ob- tained by given data in ... See full document
11
Detection and Fine-Grained Classification of Cyberbullying Events
... The ultimate goal of automatic cyberbullying detection is to reduce manual monitoring efforts on social media. As we want to send as much online threats as possible to the moderator of the network, recall optimization ... See full document
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