fine-grained
Coarse grained and Fine grained Analytics in a Single Framework
... or fine-grained scheduling. Coarse-grained scheduling would allow the framework to spawn executing elements at the start of the framework, and schedule workloads dy- namically among these computing ...
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Explicit Fine grained Syntactic and Semantic Annotation of the Idafa Construction in Arabic
... Idafa in traditional Arabic grammar is an umbrella construction that covers several phenomena including what is expressed in English as noun-noun compounds and Saxon & Norman genitives. Additionally, Idafa ...
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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, ...
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Fatigue behaviour in fine grained aluminium alloys
... and fine grain structure, as employed in the mechanically alloyed AA5091 system ...the fine grain-size and high dispersoid ...several fine-grained/high dispersoid content materials, with a ...
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Reconstruction techniques for fine grained neutrino detectors
... The algorithm presented is a general purpose reconstruction procedure for track-like objects in fine-grained detectors. In order to apply it to the data from a particular experiment or simulation, the parameters ...
153
Joint Inference for Fine grained Opinion Extraction
... Fine-grained opinion analysis is concerned with identifying opinions in text at the expression level; this includes identifying the subjective (i.e., opin- ion) expression itself, the opinion holder and the ...
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A Corpus of Fine Grained Entailment Relations
... our fine-grained classification is to en- able more effective tutoring dialog ...this fine- grained classification can also facilitate more di- rected user ...
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Towards Fine grained Text Sentiment Transfer
... In this paper, we focus on the task of fine- grained text sentiment transfer (FGST). This task aims to revise an input sequence to satisfy a given sentiment intensity, while preserving the original semantic ...
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A Probabilistic Model for Fine Grained Expert Search
... Many approaches to expert search have been proposed by the participants of TREC and other researchers. These approaches include metadata extraction (Cao et al., 2005), expert profile build- ing (Craswell, 2001, Fu et ...
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Fine Grained Propaganda Detection with Fine Tuned BERT
... This paper presents the winning solution of the Fragment Level Classification (FLC) task in the Fine Grained Propaganda Detection com- petition at the NLP4IF’19 workshop. The goal of the FLC task is to ...
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SCARE ― The Sentiment Corpus of App Reviews with Fine grained Annotations in German
... typically referred to as sentiment analysis or opinion min- ing (Liu, 2012). However, previous work in the area of analyzing user reviews in app stores is limited. Unlike prod- uct reviews of other domains, e.g. ...
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Fine Grained Evaluation for Entity Linking
... a fine-grained cate- gorization of different types of entity men- tions and ...with fine- grained evaluation results comparing a selec- tion of online EL ...
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Fine Grained Entity Typing in Hyperbolic Space
... We aim to analyze the effects of hyperbolic and Euclidean spaces when modeling hierarchical in- formation present in the type inventory, for the task of fine-grained entity typing. Since hyper- bolic ...
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Fine grained Semantic Typing of Emerging Entities
... Baselines. We compared PEARL against two state-of-the-art baselines: i). NNPLB (No Noun Phrase Left Behind), is the method presented in (Lin 2012), based on the propagation of types for known entities through salient ...
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A metamodeling approach to incremental model changes
... the fine‐grained approach has the overhead of parsing files, the coarse‐grained model transformation approach uses best of both ...the fine‐grained approach we still are handling ...
103
Fine Grained Classification of Named Entities by Fusing Multi Features
... The traditional classification methods focus only on the local context features described in Section 2.1. Actually, the local context might not provide sufficient information. In order to improve the performance of ...
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Fine grained Semantic Textual Similarity for Serbian
... with fine-grained semantic similarity scores has been annotated in this series of shared tasks, using a standardized methodology, and has been made publicly ...to fine-grained ones has allowed ...
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Influence of basin connectivity on sediment source, transport, and storage within the Mkabela Basin, South Africa
... of fine sediment within the reservoir, prior to valley modification, suggests that while the axial drainage network may be integrated during large floods, during low to moder- ate events the upper catchment areas ...
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Fine Grained Classification of Named Entities
... better fine-grained classification of named entities will require not only more sophisticated feature selection, but also a better data generation ...Treating fine-grained classification of ...
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The Noisy Channel Model for Unsupervised Word Sense Disambiguation
... The second contribution ofthis article is an exploration ofsemantic classes at differ- ent levels of granularity for word sense disambiguation. Using fine-grained senses for model building is inefficient both ...
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