20   Artículos

 
en línea
Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng    
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Carlo Galli, Nikolaos Donos and Elena Calciolari    
Systematic reviews are cumbersome yet essential to the epistemic process of medical science. Finding significant reports, however, is a daunting task because the sheer volume of published literature makes the manual screening of databases time-consuming.... ver más
Revista: Information    Formato: Electrónico

 
en línea
Paolo Fantozzi, Valentina Rotondi, Matteo Rizzolli, Paola Dalla Torre and Maurizio Naldi    
Moral features are essential components of TV series, helping the audience to engage with the story, exploring themes beyond sheer entertainment, reflecting current social issues, and leaving a long-lasting impact on the viewers. Their presence shows thr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hermilo Santiago-Benito , Diana-Margarita Córdova-Esparza , Noé-Alejandro Castro-Sánchez , Teresa García-Ramirez , Julio-Alejandro Romero-González and Juan Terven    
This paper introduces a novel method for collecting and translating texts from the Mixtec to the Spanish language. The method comprises four primary steps. First, we collected a Mixtec?Spanish corpus that includes 4568 sentences from educational and reli... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Youngki Park and Youhyun Shin    
This paper presents a novel approach for finding the most semantically similar conversational sentences in Korean and English. Our method involves training separate embedding models for each language and using a hybrid algorithm that selects the appropri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis    
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Rezaul K. Khandker, Md Rakibul Islam Prince, Farid Chekani, Paul Richard Dexter, Malaz A. Boustani and Zina Ben Miled    
Patient-reported (PRO) and clinician-reported (CRO) outcomes are assessment instruments that are completed by patients and trained healthcare professionals, respectively. A PRO is a report of the direct experience of the patient with a given disease cond... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yucheng Huang, Rui Song, Fausto Giunchiglia and Hao Xu    
The rapid development of online social media makes abuse detection a hot topic in the field of emotional computing. However, most natural language processing (NLP) methods only focus on linguistic features of posts and ignore the influence of users? emot... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ze Bian, Shijian Luo, Fei Zheng, Liuyu Wang and Ping Shan    
Bionic reasoning is a significant process in product biologically inspired design (BID), in which designers search for creatures and products that are matched for design. Several studies have tried to assist designers in bionic reasoning, but there are s... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao and Yang Xu    
Named Entity Recognition (NER) is the fundamental task for Natural Language Processing (NLP) and the initial step in building a Knowledge Graph (KG). Recently, BERT (Bidirectional Encoder Representations from Transformers), which is a pre-training model,... ver más
Revista: Applied Sciences    Formato: Electrónico

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