Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Kochkina Elena"'
Autor:
Aguda, Toyin, Siddagangappa, Suchetha, Kochkina, Elena, Kaur, Simerjot, Wang, Dongsheng, Smiley, Charese, Shah, Sameena
Collecting labeled datasets in finance is challenging due to scarcity of domain experts and higher cost of employing them. While Large Language Models (LLMs) have demonstrated remarkable performance in data annotation tasks on general domain datasets
Externí odkaz:
http://arxiv.org/abs/2403.18152
Autor:
Tseriotou, Talia, Chan, Ryan Sze-Yin, Tsakalidis, Adam, Bilal, Iman Munire, Kochkina, Elena, Lyons, Terry, Liakata, Maria
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based Neural Network models, which have recently shown success in temporal
Externí odkaz:
http://arxiv.org/abs/2312.03523
Publikováno v:
E3S Web of Conferences, Vol 291, p 08009 (2021)
Aviation is one of the most significant growth drivers not only for the transportation infrastructure, but also for country’s economy as it contributes to both industrial and social progress of society. The paper focuses on Sheremetyevo Internation
Externí odkaz:
https://doaj.org/article/4a3d21bd47ff4f5f9aa163684b127e40
Publikováno v:
E3S Web of Conferences, Vol 210, p 06008 (2020)
The intensive development of domestic poultry farming determines the urgent need to achieve the environmental safety of the industry's products, which excludes the introduction of feed antibiotics into the poultry diet. In addition, the existing inst
Externí odkaz:
https://doaj.org/article/bc8e4c643b334b328772f5119c9cd8dc
Publikováno v:
E3S Web of Conferences, Vol 208, p 08017 (2020)
The article substantiates the need to choose a new paradigm for the macro-regional development of Eurasia, which, along with other macro-regions, has found itself in recent decades in a situation where the old theoretical platform for regional develo
Externí odkaz:
https://doaj.org/article/d293f0e6007546f09643ad9f6803baf7
Autor:
Procter, Rob, Arana-Catania, Miguel, He, Yulan, Liakata, Maria, Zubiaga, Arkaitz, Kochkina, Elena, Zhao, Runcong
Social media and user-generated content (UGC) have become increasingly important features of journalistic work in a number of different ways. However, the growth of misinformation means that news organisations have had devote more and more resources
Externí odkaz:
http://arxiv.org/abs/2305.02224
Autor:
Zhao, Runcong, Arana-Catania, Miguel, Zhu, Lixing, Kochkina, Elena, Gui, Lin, Zubiaga, Arkaitz, Procter, Rob, Liakata, Maria, He, Yulan
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference met
Externí odkaz:
http://arxiv.org/abs/2303.01241
Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on information from Wikipedia, or trustworthy news articles without cons
Externí odkaz:
http://arxiv.org/abs/2207.13970
Performance of text classification models tends to drop over time due to changes in data, which limits the lifetime of a pretrained model. Therefore an ability to predict a model's ability to persist over time can help design models that can be effec
Externí odkaz:
http://arxiv.org/abs/2205.05435
Autor:
Arana-Catania, M., Kochkina, Elena, Zubiaga, Arkaitz, Liakata, Maria, Procter, Rob, He, Yulan
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. We first describe the construct
Externí odkaz:
http://arxiv.org/abs/2205.02596