no code implementations • 28 Mar 2019 • Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
State-of-the-art methods for text classification include several distinct steps of pre-processing, feature extraction and post-processing.
no code implementations • 23 Mar 2019 • Meryem M'hamdi, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
In particular, we test the hypothesis that embeddings with context are more effective, by multi-tasking the learning of multilingual word embeddings and text classification; we explore neural architectures for CLTC; and we move from bi- to multi-lingual word embeddings.
no code implementations • WS 2018 • Bojan Petrovski, Ignacio Aguado, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
Most of the world's data is stored in relational databases.
1 code implementation • CONLL 2018 • Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.
no code implementations • 2 Feb 2018 • Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossmann, Michael Baeriswyl
Spoken language understanding (SLU) systems, such as goal-oriented chatbots or personal assistants, rely on an initial natural language understanding (NLU) module to determine the intent and to extract the relevant information from the user queries they take as input.
no code implementations • 1 Feb 2018 • Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
The success of the dialogue system depends on the quality of the policy, which is in turn reliant on the availability of high-quality training data for the policy learning method, for instance Deep Reinforcement Learning.
no code implementations • 16 Jan 2018 • Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
The dramatic success of deep neural networks across multiple application areas often relies on experts painstakingly designing a network architecture specific to each task.
3 code implementations • CONLL 2018 • Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl, Martin Jaggi
EmbedRank achieves higher F-scores than graph-based state of the art systems on standard datasets and is suitable for real-time processing of large amounts of Web data.
no code implementations • 26 Sep 2017 • Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
Publicly available review corpora contain a plethora of opinionated aspect terms and cover a larger domain spectrum.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • WS 2017 • Athanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
Our second contribution is a method to automatically construct datasets for ATE.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • WS 2017 • Athanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
Our second contribution is a method to automatically construct datasets for ATE.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1