Results 21 to 30 of about 10,655,437 (309)
Research in natural language processing [PDF]
The main objective is to develop robust methods for the understanding and generation of both written and spoken human language, including but not limited to English. Penn is pursuing development of: (1) New mathematical and computational frameworks which are highly constrained, yet adequate to allow a simple, concise description of complex linguistic ...
Aravind K. Joshi +3 more
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Transforming epilepsy research: A systematic review on natural language processing applications [PDF]
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical journals
Schraagen, Marijn +7 more
core
Research on sentence alignment based on modeling word pairs [PDF]
Sentence alignment is a process mapping sentences in the source text to their counterparts in the target text.Within the framework of neural network,this paper proposes a sentence alignment method,on the basis that the aligned source sentence and target ...
DING Ying,LI Junhui,ZHOU Guodong
doaj +1 more source
The modeling of fundamental frequency (F0) in speech synthesis is a critical factor affecting the intelligibility and naturalness of synthesized speech. In this paper, we focus on improving the modeling of F0 for Isarn speech synthesis. We propose the F0
Pongsathon Janyoi, Pusadee Seresangtakul
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An Efficient Deep Learning for Thai Sentiment Analysis
The number of reviews from customers on travel websites and platforms is quickly increasing. They provide people with the ability to write reviews about their experience with respect to service quality, location, room, and cleanliness, thereby helping ...
Nattawat Khamphakdee +1 more
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Natural language processing for global and local business
The concept of natural language processing has become one of the preferred methods to better understand consumers, especially in recent years when digital technologies and research methods have developed exponentially.
Taşkıran, Meliha Nurdan +1 more
core +1 more source
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
doaj +1 more source
Attention in Natural Language Processing [PDF]
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview of attention is still missing.
Andrea Galassi +2 more
openaire +3 more sources
With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
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Chemical-induced disease relation extraction via attention-based distant supervision
Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical ...
Jinghang Gu +3 more
doaj +1 more source

