Results 41 to 50 of about 6,746 (210)
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets [PDF]
A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization.
Fanchao Qi+4 more
openalex +3 more sources
Automatic Short Answer Grading With SemSpace Sense Vectors and MaLSTM
Automatic assessment of exams is widely preferred by educators than multiple-choice exams because of its efficiency in measuring student performance, lack of subjectivity when evaluating student response, and faster evaluation time than the time ...
Cagatay Neftali Tulu+2 more
doaj +1 more source
Deep distant reading: The rise of realism in Scandinavian literature as a case study
Abstract In this article we make a case for a synchronic and contextualizing perspective on the scaling of literary data, one which qualifies and expands the data points in terms of depth, or thickness, through the help of metadata on the social and historical conditions of the texts. Our case study is an investigation of the rise and impact of realism
Jens Bjerring‐Hansen, Matthew Wilkens
wiley +1 more source
The recently created RuWordNet thesaurus reflects hierarchical, primarily synonymous, relations in the vocabulary so that it is built from a set of synsets.
Irina V. Erofeeva+2 more
doaj +1 more source
A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications
The Web is the communication platform and source of information par excellence. The volume and complexity of its content have grown enormously, with organizing, retrieving, and cleaning Web information becoming a challenge for traditional techniques.
Christian Mejia-Escobar+3 more
wiley +1 more source
News Classification and Categorization with Smart Function Sentiment Analysis
Search engines are tools used to find information on the Internet. Since the web has a plethora of websites, the engine queries the majority of active sites and builds a database organized according to keywords utilized in the search. Because of this, when a user types a few descriptive words on the home page of the search engine, the search function ...
Mike Nkongolo Wa Nkongolo, Yaxin Bi
wiley +1 more source
Verb Metaphoric Extension Under Semantic Strain
Abstract This paper explores the processes underlying verb metaphoric extension. Work on metaphor processing has largely focused on noun metaphor, despite evidence that verb metaphor is more common. Across three experiments, we collected paraphrases of simple intransitive sentences varying in semantic strain—for example, The motor complained → The ...
Daniel King, Dedre Gentner
wiley +1 more source
[Retracted] Library Document Resource Construction and Data Sharing Based on Semantic Web Technology
With the deepening of the reform and development of higher education, many colleges and universities have taken the merger as an opportunity to promote the leap‐forward development of their schools. Some colleges and universities that have not merged have also taken the newly‐built campus as a new growth point to promote the rapid development of their ...
Xinyuan Fan, Amit Gupta
wiley +1 more source
Optimization and Simulation of an English‐Assisted Reading System Based on Wireless Sensor Networks
In this paper, wireless sensor network technology is applied to an English‐assisted reading system to highly simulate and restore the context and improve the performance of all aspects of the English‐assisted reading system to optimize the English‐assisted reading system. The product designed in this paper is based on wireless sensor network technology
Shumei Huang, Gengxin Sun
wiley +1 more source
Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models
Spondylolisthesis refers to the slippage of one vertebral body over the adjacent one. It is a chronic condition that requires early detection to prevent unpleasant surgery. The paper presents an optimized deep learning model for detecting spondylolisthesis in X‐ray radiographs. The dataset contains a total of 299 X‐ray radiographs from which 156 images
Deepika Saravagi+5 more
wiley +1 more source