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Harun Bolat and Baha Sen
In the biomedical field, accessing data by classical methods is getting more difficult day by day, as it is in any other field, due to the data growth rate. Different methods are needed to access the desired data more quickly. In particular, more specifi...
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Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Naseer Ahmed Sajid, Atta Rahman, Munir Ahmad, Dhiaa Musleh, Mohammed Imran Basheer Ahmed, Reem Alassaf, Sghaier Chabani, Mohammed Salih Ahmed, Asiya Abdus Salam and Dania AlKhulaifi
Over the decades, a tremendous increase has been witnessed in the production of documents available in digital form. The increased production of documents has gained so much momentum that their rate of production jumps two-fold every five years. These ar...
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Eduardo Cibrián, Jose María Álvarez-Rodríguez, Roy Mendieta and Juan Llorens
The use of different techniques and tools is a common practice to cover all stages in the development life-cycle of systems generating a significant number of work products. These artefacts are frequently encoded using diverse formats, and often require ...
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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...
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Muhammad Sami Ur Rehman, Muhammad Tariq Shafiq and Fahim Ullah
The progress monitoring (PM) of construction projects is an essential aspect of project control that enables the stakeholders to make timely decisions to ensure successful project delivery, but ongoing practices are largely manual and document-centric. H...
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Dinesh Nagumothu, Peter W. Eklund, Bahadorreza Ofoghi and Mohamed Reda Bouadjenek
Standardized approaches to relevance classification in information retrieval use generative statistical models to identify the presence or absence of certain topics that might make a document relevant to the searcher. These approaches have been used to b...
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Marco Fisichella and Andrea Ceroni
A majority of current work in events extraction assumes the static nature of relationships in constant expertise knowledge bases. However, in collaborative environments, such as Wikipedia, information and systems are extraordinarily dynamic over time. In...
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Zheren Yan, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang and Jianya Gong
Geocoding is an essential procedure in geographical information retrieval to associate place names with coordinates. Due to the inherent ambiguity of place names in natural language and the scarcity of place names in textual data, it is widely recognized...
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