| Vol-1926 urn:nbn:de:0074-1926-3 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# LaCATODA 2017
Linguistic and Cognitive Approaches To Dialog Agents

### Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop
co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)

### Melbourne, Australia, August 21, 2017.

Edited by

### Rafal Rzepka *
Jordi Vallverdu **
Andre Wlodarczyk ***

* Hokkaido University, Graduate School of Information Science and Technology, Sapporo, Japan
** Autonomous University of Barcelona, Department of Philosophy, Barcelona, Spain
*** Charles de Gaulle University (Emeritus), Faculty of Philology, Paris, France

## Table of Contents

- Preface

### Invited Talk

- Experimental Semiotics and Representation by Dialogue Systems 1-2
  T. Mark Ellison

### Regular Papers

- Learning Deep on Cyberbullying is Always Better Than Brute Force 3-10
  Michal Ptaszynski, Juuso Kalevi Kristian Eronen, Fumito Masui
- Asystent – a Prototype of a Motivating Electronic Assistant 11-19
  Patrycja Swieczkowska, Jolanta Bachan, Rafal Rzepka, Kenji Araki
- Towards a Response Selection System for Spoken Requests in a Physical Domain 20-27
  Andisheh Partovi, Ingrid Zukerman, Quan Tran
- Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks 28-33
  Cheolho Han, Sang-Woo Lee, Yujung Heo, Wooyoung Kang, Jaehyun Jun, Byoung-Tak Zhang
- Be More Eloquent, Professor ELIZA - Comparison of Utterance Generation Methods for Artificial Second Language Tutor 34-41
  Taku Nakamura, Rafal Rzepka Kenji Araki, Kentaro Inui
- A Prototype Method for Future Event Prediction Based on Future Reference Sentence Extraction 42-49
  Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui

2017-09-18: submitted by Rafal Rzepka, metadata incl. bibliographic data published under Creative Commons CC0
2017-09-20: published on CEUR-WS.org |valid HTML5|