Vol-1925⫷ Vol-1926 ⫸Vol-1927
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 |