SensPick: Sense Picking for Word Sense Disambiguation

Zobaed, SM; Haque, Enamul; Rabby, Fazle; Salehi, Mohsen Amini

doi:10.1109/icsc50631.2021.00060

Cited by 9 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Refactoring the stateless version of these applications makes them prohibitively inefficient. For instance, a big data analytics workload (e.g., for semantic search 28 ) cannot afford to load the entire dataset for each function call, nor can it afford to forward the output to other functions along the workflow. A common approach to circumvent this situation is to persist the state on the external storage services 29 .…”

Section: Nuts and Bolts Of The Serverless Computing Paradigmmentioning

confidence: 99%

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Denninnart,

Chanikaphon,

Amini Salehi

2023

Softw Pract Exp

View full text Add to dashboard Cite

SummaryServerless computing along with Function‐as‐a‐Service (FaaS) is forming a new computing paradigm that is anticipated to found the next generation of cloud systems. The popularity of this paradigm is due to offering a highly transparent infrastructure that enables user applications to scale in the granularity of their functions. Since these often small and single‐purpose functions are managed on shared computing resources behind the scene, a great potential for computational reuse and approximate computing emerges that if unleashed, can remarkably improve the efficiency of serverless cloud systems—both from the user's QoS and system's (energy consumption and incurred cost) perspectives. Accordingly, the goal of this survey study is to, first, unfold the internal mechanics of serverless computing and, second, explore the scope for efficiency within this paradigm via studying function reuse and approximation approaches and discussing the pros and cons of each one. Next, we outline potential future research directions within this paradigm that can either unlock new use cases or make the paradigm more efficient.

show abstract

Section: Nuts and Bolts Of The Serverless Computing Paradigmmentioning

confidence: 99%

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Denninnart,

Chanikaphon,

Amini Salehi

2023

Softw Pract Exp

View full text Add to dashboard Cite

show abstract

“…Refactoring stateless version of these applications makes them prohibitively inefficient. For instance, a big data analytics workload (e.g., semantic search [16]) cannot afford loading the entire dataset for each function call, nor can it afford forwarding the output to other functions along the workflow. A common approach to circumvent this situation is to persist the state on the external storage services [17].…”

Section: The Matter Of "Function State" In Serverless Computingmentioning

confidence: 99%

Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study

Denninnart,

Salehi

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Serverless computing along with Function-as-a-Service (FaaS) are forming a new computing paradigm that is anticipated to found the next generation of cloud systems. The popularity of this paradigm is due to offering a highly transparent infrastructure that enables user applications to scale in the granularity of their functions. Since these often small and single-purpose functions are managed on shared computing resources behind the scene, a great potential for computational reuse and approximate computing emerges that if unleashed, can remarkably improve the efficiency of serverless cloud systemsboth from the user's QoS and system's (energy consumption and incurred cost) perspectives. Accordingly, the goal of this survey study is to, first, unfold the internal mechanics of the serverless computing and, second, explore the scope for efficiency within this paradigm via studying function reuse and approximation approaches and discussing the pros and cons of each one. Next, we outline potential future research directions within this paradigm that can either unlock new use cases or make the paradigm more efficient.

show abstract

“…Unlike the classic RNN model, which uses logistic functions to compute the gradients, the LSTM model uses multiplicative gates to better compute the gradients. (Zobaed et al, 2021) Bi-directional LSTM (Bi-LSTM) is a form of LSTM in which the state at each time step combines the states of two LSTMs enunciated as forward and backward LSTM. The following points are the contribution of this research.…”

Section: Introductionmentioning

confidence: 99%

Sentence Level Amharic Word Sense Disambiguation

Dereje

Tesfa

Yitbarek

2022

Am. J. Educ. Technol.

View full text Add to dashboard Cite

Lexical ambiguity, phonological ambiguity, structural ambiguity, referential ambiguity, semantic ambiguity, and orthographic ambiguity were all types of Amharic ambiguity. The other ambiguities were out of this research because the study focuses on lexical-semantic, orthographic, and semantic ambiguities. Until now, some experts have been researching the Amharic word sense disambiguation system. Recent research, on the other hand, did not take into account antonym, troponymy, holonomy, and homonym relationships in the WordNet; this problem was overcome by this study. Using a Deep Learning method, we are developing an Amharic word sense disambiguation model. We use a design science research strategy to close the gap, starting with problem identification and concluding with final communication. 159 ambiguous words, 1214 synsets, and 2164 sentence datasets were used to create three distinct Deep Learning algorithms in three separate experiments. Using the given dataset, the overall performance of the model is measured using performance metrics in precision, F-measure, and confusion matrix. In this study, LSTM, CNN, and Bi-LSTM obtained 94 percent, 95 percent, and 96 percent accuracy respectively in the third experiment, based on performance measurement.

show abstract

SensPick: Sense Picking for Word Sense Disambiguation

Cited by 9 publications

References 22 publications

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study

Sentence Level Amharic Word Sense Disambiguation

Contact Info

Product

Resources

About