no code implementations • 17 Jan 2024 • Vladimir Vlasov
Slot labelling is an essential component of any dialogue system, aiming to find important arguments in every user turn.
no code implementations • 18 Sep 2023 • Manuel Dibak, Vladimir Vlasov, Nour Karessli, Darya Dedik, Egor Malykh, Jacek Wasilewski, Ton Torres, Ana Peleteiro Ramallo
Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content.
1 code implementation • 22 Apr 2020 • Johannes E. M. Mosig, Vladimir Vlasov, Alan Nichol
Recent dialogue datasets like MultiWOZ 2. 1 and Taskmaster-1 constitute some of the most challenging tasks for present-day dialogue models and, therefore, are widely used for system evaluation.
2 code implementations • 21 Apr 2020 • Tanja Bunk, Daksh Varshneya, Vladimir Vlasov, Alan Nichol
Large-scale pre-trained language models have shown impressive results on language understanding benchmarks like GLUE and SuperGLUE, improving considerably over other pre-training methods like distributed representations (GloVe) and purely supervised approaches.
1 code implementation • 1 Oct 2019 • Vladimir Vlasov, Johannes E. M. Mosig, Alan Nichol
We introduce a dialogue policy based on a transformer architecture, where the self-attention mechanism operates over the sequence of dialogue turns.
2 code implementations • 28 Nov 2018 • Vladimir Vlasov, Akela Drissner-Schmid, Alan Nichol
Machine-learning based dialogue managers are able to learn complex behaviors in order to complete a task, but it is not straightforward to extend their capabilities to new domains.