Person
Nikolaos Pappas
This person is no longer with EPFL
Related publications (20)
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
François Fleuret, Nikolaos Pappas, Angelos Katharopoulos, Apoorv Vyas
Transformers achieve remarkable performance in several tasks but due to their quadratic complexity, with respect to the input’s length, they are prohibitively slow for very long sequences. To address this limitation, we express the self-attention as a line ...
Idiap2020Plug and Play Autoencoders for Conditional Text Generation
James Henderson, Nikolaos Pappas, Jan Frederik Jonas Florian Mai
Text autoencoders are commonly used for conditional generation tasks such as style transfer. We propose methods which are plug and play, where any pretrained autoencoder can be used, and only require learning a mapping within the autoencoder's embedding sp ...
Idiap2020The SUMMA Platform Prototype
Hervé Bourlard, Philip Neil Garner, Andrei Popescu-Belis, Nikolaos Pappas, Sibo Tong, Yang Wang, Ahmed Ali, Steve Renals, Lesly Sadiht Miculicich Werlen, Marco Damonte, Hassan Sajjad
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadca ...
Association for Computational Linguistics2017Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models
Andrei Popescu-Belis, Nikolaos Pappas, Khalil Mrini
Cross-lingual transfer has been shown to increase the performance of a text classification model thanks to the use of Multilingual Hierarchical Attention Networks (MHAN), on which this work is based. Firstly, we compared the performance of monolingual and ...
Idiap2017Evaluating Attention Networks for Anaphora Resolution
Andrei Popescu-Belis, Nikolaos Pappas, Lesly Sadiht Miculicich Werlen
In this paper, we evaluate the results of using inter and intra attention mechanisms from two architectures, a Deep Attention Long Short-Term Memory-Network (LSTM-N) (Cheng et al., 2016) and a Decomposable Attention model (Parikh et al., 2016), for anaphor ...
Idiap2017Multilingual Visual Sentiment Concept Matching
What would someone from another culture think of this photograph I just took? Would they think my picture of this 'wilted flower' was also sentimentally positive or would they perceive it negatively instead? Or what if I wanted to find other photographs th ...
Assoc Computing Machinery2016Adaptive sentiment-aware one-class collaborative filtering
Andrei Popescu-Belis, Nikolaos Pappas
This paper presents a novel application of sentiment analysis to recommender systems relying on explicit one-class user feedback (favorites or likes), namely joint models of unary feedback and sentiment of free-form user comments. This combination is achie ...
Elsevier2016Learning Explainable User Sentiment and Preferences for Information Filtering
In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...
EPFL2016Combining Content with User Preferences for Non-Fiction Multimedia Recommendation: A Study on TED Lectures
Andrei Popescu-Belis, Nikolaos Pappas
This paper introduces a new dataset and compares several methods for the recommendation of non-fiction audio visual material, namely lectures from the TED website. The TED dataset contains 1,149 talks and 69,023 profiles of users, who have made more than 1 ...
Springer2015Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets
Andrei Popescu-Belis, Nikolaos Pappas, Maryam Habibi
In this paper, we present an approach for topic-level search and hyperlinking of video snippets, which relies on contentbased recommendation and multimodal re-ranking techniques. We identify topic-level segments using transcripts or subtitles and enrich th ...
2014