University of Szeged Research Group on Artificial Intelligence Classifier Combination Systems and their Application in Human Language Technology
نویسندگان
چکیده
منابع مشابه
Tree-Based Algorithms for Protein Classification
1 Research Group on Artificial Intelligence of the Hungarian Academy of Sciences and University of Szeged, Aradi vértanúk tere 1., H-6720 Szeged, Hungary E-mail: {busarobi, kocsor}@inf.u-szeged.hu 2 Research Group on Artificial Intelligence NPC., Petőfi S. Sgt. 43., H-6725 Szeged, Hungary 3 Applied Intelligence Laboratory Ltd., Petőfi S. Sgt. 43., H-6725 Szeged, Hungary 4 Bioinformatics Group, ...
متن کاملThe Correlation of Machine Translation Evaluation Metrics with Human Judgement on Persian Language
Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...
متن کاملAn Overview of the Artificial Intelligence Applications in Identifying and Combating the Covid-19 Pandemic
Intruduction: In late 2019, people around the world became infected with Covid-19 by the outbreak, the pandemy and epidemy of this disease. To this end, researchers in various fields are seeking to find solutions to the problems related to the control and management of crises. The transmission power of the new corona virus has drawn the attention of experts in the use of artificial intelligence...
متن کاملFlood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique
Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...
متن کاملImprovement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination
Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008