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Now showing items 11-18 of 18
Introducing StarDust: A UD-based Dependency Annotation Tool
(European Language Resources Association (ELRA), 2022)
This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of ...
A learning-based dependency to constituency conversion algorithm for the turkish language
(European Language Resources Association (ELRA), 2022)
This study aims to create the very first dependency-to-constituency conversion algorithm optimised for Turkish language. For this purpose, a state-of-the-art morphologic analyser (Yıldız et al., 2019) and a feature-based ...
Actor-critic reinforcement learning for bidding in bilateral negotiation
(TÜBİTAK, 2022)
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ...
Time travel in Turkish: WordNets for modern Turkish
(European Language Resources Association (ELRA), 2022)
Wordnets have been popular tools for providing and representing semantic and lexical relations of languages. They are useful tools for various purposes in NLP studies. Many researches created WordNets for different languages. ...
Evaluating the English-Turkish parallel treebank for machine translation
(TÜBİTAK, 2022)
This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ...
Catching the moment with LoL + in twitch-like low-latency live streaming platforms
(IEEE, 2022)
Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth prediction and rate adaptation algorithm tailored for live streaming applications that targeted an end-to-end latency of up to two seconds. ...
The effect of appearance of virtual agents in human-agent negotiation
(MDPI, 2022-09)
Artificial Intelligence (AI) changed our world in various ways. People start to interact with a variety of intelligent systems frequently. As the interaction between human and AI systems increases day by day, the factors ...
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)
Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ...
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