32   Artículos

 
en línea
Mihael Arcan, Sampritha Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae and Paul Buitelaar    
Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers? goals. Although intent classification performs well in general settings, domain-specific user goals can still present a challenge for t... ver más
Revista: Information    Formato: Electrónico

 
en línea
Junho Shin, Eunkyung Jo, Yeohoon Yoon and Jaehee Jung    
In cases of child sexual abuse, interviewing and obtaining trustworthy statements from victims and witnesses is essential because their statements are the only evidence. It is crucial to ascertain objectively the credibility of the victim?s statements, w... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rui Zhu, Bo Liu, Ruwen Zhang, Shengxiang Zhang and Jiuxin Cao    
The constantly updating big data in the ocean engineering domain has challenged the traditional manner of manually extracting knowledge, thereby underscoring the current absence of a knowledge graph framework in such a special field. This paper proposes ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fernando Fernández-Martínez, Cristina Luna-Jiménez, Ricardo Kleinlein, David Griol, Zoraida Callejas and Juan Manuel Montero    
Intent recognition is a key component of any task-oriented conversational system. The intent recognizer can be used first to classify the user?s utterance into one of several predefined classes (intents) that help to understand the user?s current goal. T... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jungwoo Lim, Suhyune Son, Songeun Lee, Changwoo Chun, Sungsoo Park, Yuna Hur and Heuiseok Lim    
Since understanding a user?s request has become a critical task for the artificial intelligence speakers, capturing intents and finding correct slots along with corresponding slot value is significant. Despite various studies concentrating on a real-life... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Turdi Tohti, Mamatjan Abdurxit and Askar Hamdulla    
Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system. Most existing methods usually treat medical queries intent classification and name... ver más
Revista: Information    Formato: Electrónico

 
en línea
Gabriel Boroghina, Dragos Georgian Corlatescu and Mihai Dascalu    
We live in an era where time is a scarce resource and people enjoy the benefits of technological innovations to ensure prompt and smooth access to information required for our daily activities. In this context, conversational agents start to play a remar... ver más
Revista: Information    Formato: Electrónico

 
en línea
Marco Brambilla, Alireza Javadian Sabet, Kalyani Kharmale and Amin Endah Sulistiawati    
Social media platforms offer their audience the possibility to reply to posts through comments and reactions. This allows social media users to express their ideas and opinions on shared content, thus opening virtual discussions. Most studies on social n... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sana Shams and Muhammad Aslam    
Detecting the communicative intent behind user queries is critically required by search engines to understand a user?s search goal and retrieve the desired results. Due to increased web searching in local languages, there is an emerging need to support t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sultan Ahmed Almalki, Ahmed Abdel-Rahim and Frederick T. Sheldon    
The adoption of cooperative intelligent transportation systems (cITSs) improves road safety and traffic efficiency. Vehicles connected to cITS form vehicular ad hoc networks (VANET) to exchange messages. Like other networks and systems, cITSs are targete... ver más
Revista: Algorithms    Formato: Electrónico

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