Zobrazeno 1 - 10
of 36 450
pro vyhledávání: '"A. Turker"'
Crowd markets have traditionally limited workers by not providing transparency information concerning which tasks pay fairly or which requesters are unreliable. Researchers believe that a key reason why crowd workers earn low wages is due to this lac
Externí odkaz:
http://arxiv.org/abs/2005.06021
Akademický článek
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Autor:
DUGAN, MEHMET, TURGUT, ALİ KÜRŞAT
Publikováno v:
Turkish Culture & Haci Bektas Veli Research Quarterly; haz2023, Issue 106, p277-297, 21p
Autor:
Yang, Zhilin, Zhang, Saizheng, Urbanek, Jack, Feng, Will, Miller, Alexander H., Szlam, Arthur, Kiela, Douwe, Weston, Jason
Contrary to most natural language processing research, which makes use of static datasets, humans learn language interactively, grounded in an environment. In this work we propose an interactive learning procedure called Mechanical Turker Descent (MT
Externí odkaz:
http://arxiv.org/abs/1711.07950
Autor:
Donmez, Turker Berk
In democratic societies, electoral systems play a crucial role in translating public preferences into political representation. Among these, the D'Hondt method is widely used to ensure proportional representation, balancing fair representation with g
Externí odkaz:
http://arxiv.org/abs/2411.05196
We present VBART, the first Turkish sequence-to-sequence Large Language Models (LLMs) pre-trained on a large corpus from scratch. VBART are compact LLMs based on good ideas leveraged from BART and mBART models and come in two sizes, Large and XLarge.
Externí odkaz:
http://arxiv.org/abs/2403.01308
In this work, we present VNLP: the first dedicated, complete, open-source, well-documented, lightweight, production-ready, state-of-the-art Natural Language Processing (NLP) package for the Turkish language. It contains a wide variety of tools, rangi
Externí odkaz:
http://arxiv.org/abs/2403.01309
Akademický článek
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Autor:
Alturan, Baha, Turker, Ilker
Earthquakes are evaluated among the most destructive disasters for human beings, as also experienced for Turkiye region. Data science has the property of discovering hidden patterns in case a sufficient volume of data is supplied. Time dependency of
Externí odkaz:
http://arxiv.org/abs/2312.16158
Autor:
Kiranyaz, Serkan, Devecioglu, Ozer Can, Alhams, Amir, Sassi, Sadok, Ince, Turker, Avci, Onur, Gabbouj, Moncef
Robust and real-time detection of faults on rotating machinery has become an ultimate objective for predictive maintenance in various industries. Vibration-based Deep Learning (DL) methodologies have become the de facto standard for bearing fault det
Externí odkaz:
http://arxiv.org/abs/2312.10742