Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Harit, Anoushka"'
In the fast-paced and volatile financial markets, accurately predicting stock movements based on financial news is critical for investors and analysts. Traditional models often struggle to capture the intricate and dynamic relationships between news
Externí odkaz:
http://arxiv.org/abs/2409.00438
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
Autor:
Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei, Moubayed, Noura Al
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence
Externí odkaz:
http://arxiv.org/abs/2301.02275
Autor:
Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei, Moubayed, Noura Al
XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency. However, from an HCI perspective, the current approaches only focus on delivering a
Externí odkaz:
http://arxiv.org/abs/2209.01061
Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post the
Externí odkaz:
http://arxiv.org/abs/2104.12643
Publikováno v:
In AI Open 2023 4:165-174
Autor:
Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei, Moubayed, Noura Al
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence auto-encoding recon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da05126b8ebaa5ae4eb39722e1fb1d5d
Publikováno v:
AI Open; 2023, Vol. 4, p165-174, 10p
Autor:
Jialin Yu, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Lei Shi, Al Moubayed, Noura
Publikováno v:
AI Open; 2023, Vol. 4, p19-32, 14p