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7th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING<br><br>
SLSP 2019<br><br>
Ljubljana, Slovenia<br><br>
October 14-16, 2019<br><br>
Co-organized by:<br><br>
Jožef Stefan Institute<br><br>
Institute for Research Development, Training and Advice (IRDTA), Brussels/London<br><br>
http://slsp2019.irdta.eu/<br><br>
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PROGRAM<br><br>
Monday, October 14<br><br>
09:00 - 09:30 Registration<br><br>
09:30 - 09:40 Opening<br><br>
09:40 - 10:30 Jure Leskovec. Learning and Reasoning with Knowledge Graphs - Invited lecture<br><br>
10:30 - 11:00 Break<br><br>
11:00 - 12:40<br><br>
Izidor Mlakar, Darinka Verdonik, Simona Majhenic and Matej Rojc. Towards Pragmatic Understanding of Conversational Intent: A Multimodal Annotation Approach to Multiparty Informal Interaction – the EVA Corpus<br><br>
Matthieu Riou, Bassam Jabaian, Stéphane Huet and Fabrice Lefèvre. Lilia, a Showcase for Fast Bootstrap of Conversation-like Dialogues Based on a Goal-oriented System<br><br>
Natalia Tomashenko, Antoine Caubrière, Yannick Estève, Antoine Laurent and Emmanuel Morin. Recent Advances in End-to-end Spoken Language Understanding<br><br>
Adrien Bardet, Fethi Bougares and Loïc Barrault. A Study on Multilingual Transfer Learning in Neural Machine Translation: Finding the Balance between Languages<br><br>
12:40 - 14:10 Lunch<br><br>
14:10 - 15:25<br><br>
Daphné Chopard and Irena Spasic. A Deep Learning Approach to Self-expansion of Abbreviations Based on Morphology and Context Distance<br><br>
Ondrej Herman, Miloš Jakubícek, Vojtech Kovár and Pavel Rychlý. Word Sense Induction Using Word Sketches<br><br>
Tatiana Kachkovskaia. Temporal "Declination" in Different Types of IPs in Russian: Preliminary Results<br><br>
15:25 - 15:55 Break<br><br>
15:55 - 16:45<br><br>
Sammy Khalife, Leo Liberti and Michalis Vazirgiannis. Geometry and Analogies: A Study and Propagation Method for Word Representations<br><br>
Blaž Škrlj and Senja Pollak. Language Comparison via Network Topology<br><br>
16:45 - 17:00 Break<br><br>
17:00 - 17:40 Poster session I<br><br>
Abdulrahman Alqarafi and Kevin Swingler. Arabic Multi-dialects Multi-modal Sentiment Analysis<br>
Andrejaana Andova and Mitja Luštrek. Four Attempts at Cross-dataset Speech Emotion Recognition<br>
Leila Ben Letaifa, Mikel de Velasco, Raquel Justo and M. Inés Torres. First Steps to Develop a Corpus of Interactions between Elderly and Virtual Agents in Spanish with Emotion Labels<br>
Fuad Mire Hassan and Mark Lee. Multi-stage Stance Detection using Classical and Deep Learning Approaches<br><br>
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Tuesday, October 15<br><br>
09:00 - 09:50 Alexandros Potamianos. Emotion and Behavioral Tracking in the Lab and in the Wild - Invited lecture<br><br>
09:50 - 10:20 Break<br><br>
10:20 - 11:35<br><br>
Rimah Amami, Hassan Eraky and Rim Amami. An Incremental System for Voice Pathology Detection Combining Possibilistic SVM and HMM<br><br>
Ascensión Gallardo-Antolín and Juan Montero. External Attention LSTM Models for Cognitive Load Classification from Speech<br><br>
Dominik Machácek, Jonáš Kratochvíl, Tereza Vojtechová and Ondrej Bojar. A Speech Test Set of Practice Business Presentations with Additional Relevant Texts<br><br>
11:35 - 12:05 Break<br><br>
12:05 - 12:55<br><br>
Meysam Shamsi, Damien Lolive, Nelly Barbot and Jonathan Chevelu. Investigating the Relation between Voice Corpus Design and Hybrid Synthesis under Reduction Constraint<br><br>
Nirayo Hailu Gebreegziabher and Andreas Nuernberger. An Amharic Syllable-based Speech Corpus for Continuous Speech Recognition<br><br>
12:55 - 14:25 Group photo and Lunch<br><br>
14:25 - 15:40<br><br>
Diana Geneva, Georgi Shopov and Stoyan Mihov. Building an ASR Corpus Based on Bulgarian Parliament Speeches<br><br>
Jens Heitkaemper, Thomas Feher, Michael Freitag and Reinhold Haeb-Umbach. A Study on Online Source Extraction in the Presence of Changing Speaker Positions<br><br>
Sean Robertson, Gerald Penn and Yingxue Wang. Improving Speech Recognition with Drop-in Replacements for f-bank Features<br><br>
15:40 - 16:10 Break<br><br>
16:10 - 17:00<br><br>
Balázs Tarján, György Szaszák, Tibor Fegyó and Péter Mihajlik. Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech<br><br>
Jan Vanek, Josef Michalek and Josef Psutka. Tuning of Acoustic Modeling and Adaptation Technique for a Real Speech Recognition Task<br><br>
17:00 - 17:15 Break<br><br>
17:15 - 17:55 Poster session II<br><br>
Denis Memmesheimer and Karin Harbusch. Analytical and Visual Support Choosing the Optimal k for Top k Parse Reordering in Natural Language Ambiguity Resolution<br>
Shamila Nasreen and Matthew Purver. Interaction Patterns in Conversations with Alzheimer's Patients<br>
Rémi Uro, Marc Evrard, Nicolas Hervé and Béatrice Mazoyer. The Constitution of a French Tweet Corpus for Automatic Stance Detection<br>
Olga Yakovenko and Ivan Bondarenko. Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems<br><br>
18:00 - 20:00 Touristic visit<br><br>
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Wednesday, October 16<br><br>
09:00 - 09:50 Odette Scharenborg. The Representation and Processing of Speech in Human Listeners and Deep Neural Network-based Automatic Speech Recognition Systems - Invited lecture<br><br>
09:50 - 10:20 Break<br><br>
10:20 - 11:35<br><br>
Luís Barbosa, João Filgueiras, Gil Rocha, Henrique Lopes Cardoso, Luis Paulo Reis, João Pedro Machado, Ana Cristina Caldeira and Ana Maria Oliveira. Automatic Identification of Economic Activities in Complaints<br><br>
Rajarshi Biswas, Michael Barz, Aditya Mogadala, Dietrich Klakow and Daniel Sonntag. Automatic Judgement of Neural Network-Generated Image Captions<br><br>
Fuad Mire Hassan and Mark Lee. Imbalanced Stance Detection by Combining Deep Learning and External Features<br><br>
11:35 - 11:50 Break<br><br>
11:50 - 13:05<br><br>
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj, Daniela Zaharie and Marko Robnik-Šikonja. Prediction Uncertainty Estimation for Hate Speech Classification<br><br>
Polina Panicheva and Tatiana Litvinova. Authorship Attribution in Russian in Real-World Forensics Scenario<br><br>
Blaž Škrlj, Andraž Repar and Senja Pollak. RaKUn: Rank-based Keyword Detection via Unsupervised Learning and Meta Vertex Aggregation<br><br>
13:05 - 13:15 Closing<br><br>
13:15 Lunch<br>
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