Publications by Nikolaos Pappas

Plug and Play Autoencoders for Conditional Text Generation

James Henderson, Nikolaos Pappas, Jan Frederik Jonas Florian Mai

ACL2020

GILE: A Generalized Input-Label Embedding for Text Classification

James Henderson, Nikolaos Pappas

2019

Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation

Andrei Popescu-Belis, Xiao Pu, James Henderson, Nikolaos Pappas

2018

Multilingual visual sentiment concept clustering and analysis

Nikolaos Pappas, Hongyi Liu

2017

The SUMMA Platform Prototype

Hervé Bourlard, Andrei Popescu-Belis, Philip Neil Garner, Nikolaos Pappas, Sibo Tong, Yang Wang, Ahmed Ali, Steve Renals, Lesly Sadiht Miculicich Werlen, Marco Damonte

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 Linguistics2017

Explicit Document Modeling through Weighted Multiple-Instance Learning

Andrei Popescu-Belis, Nikolaos Pappas

2017

Adaptive 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 ...

Elsevier2016

Learning Explainable User Sentiment and Preferences for Information Filtering

Nikolaos Pappas

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 ...

EPFL2016

Multilingual Visual Sentiment Concept Matching

Nikolaos Pappas, Hongyi Liu

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 Machinery2016

Combining 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 ...

Springer2015