scholarly journals Let’s get into it

2021 ◽  
Vol 34 ◽  
Author(s):  
Lauren Fonteyn
Keyword(s):  
Semantic Retrieval ◽  
Reasonable Number ◽  
Sense Disambiguation ◽  
Transformer Model

Abstract This squib briefly explores how contextualized embeddings – which are a type of compressed token-based semantic vectors – can be used as semantic retrieval and annotation tools for corpus-based research into constructions. Focusing on embeddings created by the Bidirectional Encoder Representations from Transformer model, also known as ‘BERT’, this squib demonstrates how contextualized embeddings can help counter two types of retrieval inefficiency scenarios that may arise with purely form-based corpus queries. In the first scenario, the formal query yields a large number of hits, which contain a reasonable number of relevant examples that can be labeled and used as input for a sense disambiguation classifier. In the second scenario, the contextualized embeddings of exemplary tokens are used to retrieve more relevant examples in a large, unlabeled dataset. As a case study, this squib focuses on the INTO-INTEREST construction (e.g. I’m so into you).

scholarly journals Effect of Word Sense Disambiguation on Neural Machine Translation: A Case Study in Korean

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 38512-38523 ◽  
Author(s):  
Quang-Phuoc Nguyen ◽  
Anh-Dung Vo ◽  
Joon-Choul Shin ◽  
Cheol-Young Ock
Keyword(s):  
Machine Translation ◽  
Word Sense Disambiguation ◽  
Word Sense ◽  
Neural Machine Translation ◽  
Sense Disambiguation

Supervised Word Sense Disambiguation on Polysemy with Neural Network Models: A Case Study of BUN in Taiwan Hakka

2021 ◽  
pp. 2050011
Author(s):  
Huei-Ling Lai ◽  
Hsiao-Ling Hsu ◽  
Jyi-Shane Liu ◽  
Chia-Hung Lin ◽  
Yanhong Chen
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Language Processing ◽  
Word Sense Disambiguation ◽  
Network Models ◽  
Word Sense ◽  
Neural Network Models ◽  
Low Resource ◽  
Sense Disambiguation

While word sense disambiguation (WSD) has been extensively studied in natural language processing, such a task in low-resource languages still receives little attention. Findings based on a few dominant languages may lead to narrow applications. A language-specific WSD system is in need to implement in low-resource languages, for instance, in Taiwan Hakka. This study examines the performance of DNN and Bi-LSTM in WSD tasks on polysemous BUNin Taiwan Hakka. Both models are trained and tested on a small amount of hand-crafted labeled data. Two experiments are designed with four kinds of input features and two window spans to explore what information is needed for the models to achieve their best performance. The results show that to achieve the best performance, DNN and Bi-LSTM models prefer different kinds of input features and window spans.

scholarly journals Hybrid Semantic Analysis of Tweets: A Case Study of Tweets on Girl-Child in India

2017 ◽  
Vol 7 (5) ◽  
pp. 2014-2016
Author(s):  
M. Madhukar ◽  
S. Verma
Keyword(s):  
Language Processing ◽  
Social Networking Sites ◽  
Semantic Analysis ◽  
Classification Problem ◽  
Public Attitude ◽  
Girl Child ◽  
The Public ◽  
The Social ◽  
Sense Disambiguation

Social networks have become one of the major and important parts of daily life. Besides sharing ones views the social networking sites can also be very efficiently used to judge the behavior and attitude of individuals towards the posts. Analysis of the mood of public on a particular social issue can be judged by several methods. Analysis of the society mood towards any particular news in form of tweets is investigated in this paper. The key objective behind this research is to increase the accuracy and effectiveness of the classification by the process of Natural Language Processing (NLP) Techniques while focusing on semantics and World Sense Disambiguation. The process of classification includes the combination of the effect of various independent classifiers on one particular classification problem. The data that is available in the form of tweets on twitter can easily frame the insight of the public attitude towards the particular tweet. The proposed work implements a hybrid method that includes Hybrid K, clustering and boosting. A comparison of this scheme versus a K-means/SVM approach is provided. Results are shown and discussed.

Combining Ontology and Retrieval in Case-Based Reasoning for Heavy Industry Machinery Design

2013 ◽  
Vol 456 ◽  
pp. 274-277
Author(s):  
Hong Lei Zhang ◽  
You Hua Ge ◽  
Jian Sheng Xia ◽  
Xiao Feng Huang
Keyword(s):  
Lead Time ◽  
Case Based Reasoning ◽  
Semantic Retrieval ◽  
Heavy Industry ◽  
Rotary Drilling ◽  
Semantic Level ◽  
Drilling Rig ◽  
Case Based ◽  
Machinery Design

The efficiency of design has significant impact on the overall lead time for the new product of heavy industry machinery. Case-based reasoning (CBR) can be used to heavy industry machinery design for improving the effectiveness of design. However, CBR is short of flexibility to cope with the semantic retrieval, which is the main cause of the decline in the efficiency and accuracy. Confronted with the problem, the approach has been developed based on the combining ontology and retrieval in case-based reasoning for heavy industry machinery design. Through incorporating ontology with CBR, the paper provides a flexible and comprehensive operation. An example case study of rotary drilling rig demonstrates the potential which the proposed method is more effective to retrieve cases on the semantic level.

The Genesis and Internal Dynamics of El Salvador's People's Revolutionary Army, 1970–1976

2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO
Keyword(s):  
Latin America ◽  
El Salvador ◽  
Early Years ◽  
Left Wing ◽  
Internal Dynamics ◽  
Internal Coherence ◽  
The 1960S

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.

Culture and the plasticity of perception

2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann
Keyword(s):  
Cultural Context ◽  
Sensory Experience ◽  
Cultural Learning ◽  
The World

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

Sociocultural memory development research drives new directions in gadgetry science

2019 ◽  
Vol 42 ◽  
Author(s):  
Penny Van Bergen ◽  
John Sutton
Keyword(s):  
Episodic Memory ◽  
Autobiographical Memory ◽  
Developmental Psychology ◽  
Cross Cultural ◽  
Memory Development ◽  
Development Research ◽  
Cultural Research ◽  
New Directions ◽  
Cross Cultural Research

Abstract Sociocultural developmental psychology can drive new directions in gadgetry science. We use autobiographical memory, a compound capacity incorporating episodic memory, as a case study. Autobiographical memory emerges late in development, supported by interactions with parents. Intervention research highlights the causal influence of these interactions, whereas cross-cultural research demonstrates culturally determined diversity. Different patterns of inheritance are discussed.

Construction of plastic contact deformation maps on ceramics: a case study on aluminum nitride

1996 ◽  
Vol 54 ◽  
pp. 636-637
Author(s):  
D. L. Callahan
Keyword(s):  
Plastic Deformation ◽  
Aluminum Nitride ◽  
Mechanical Response ◽  
Three Dimensional ◽  
Bright Field Image ◽  
Perfectly Plastic ◽  
Contrast Analysis ◽  
Deformation Patterns

Modern polishing, precision machining and microindentation techniques allow the processing and mechanical characterization of ceramics at nanometric scales and within entirely plastic deformation regimes. The mechanical response of most ceramics to such highly constrained contact is not predictable from macroscopic properties and the microstructural deformation patterns have proven difficult to characterize by the application of any individual technique. In this study, TEM techniques of contrast analysis and CBED are combined with stereographic analysis to construct a three-dimensional microstructure deformation map of the surface of a perfectly plastic microindentation on macroscopically brittle aluminum nitride.The bright field image in Figure 1 shows a lg Vickers microindentation contained within a single AlN grain far from any boundaries. High densities of dislocations are evident, particularly near facet edges but are not individually resolvable. The prominent bend contours also indicate the severity of plastic deformation. Figure 2 is a selected area diffraction pattern covering the entire indentation area.

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