@inproceedings{fridriksdottir-einarsson-2022-fictionary,
title = "Fictionary-Based Games for Language Resource Creation",
author = "Fri{\dh}riksd{\'o}ttir, Steinunn Rut and
Einarsson, Hafsteinn",
editor = "Callison-Burch, Chris and
Cieri, Christopher and
Fiumara, James and
Liberman, Mark",
booktitle = "Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.nidcp-1.5",
pages = "25--31",
abstract = "In this paper, we present a novel approach to data collection for natural language processing (NLP), linguistic research and lexicographic work. Using the parlor game Fictionary as a framework, data can be crowd-sourced in a gamified manner, which carries the potential of faster, cheaper and better data when compared to traditional methods due to the engaging and competitive nature of the game. To improve data quality, the game includes a built-in review process where players review each other{'}s data and evaluate its quality. The paper proposes several games that can be used within this framework, and explains the value of the data generated by their use. These proposals include games that collect named entities along with their corresponding type tags, question-answer pairs, translation pairs and neologism, to name only a few. We are currently working on a digital platform that will host these games in Icelandic but wish to open the discussion around this topic and encourage other researchers to explore their own versions of the proposed games, all of which are language-independent.",
}
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<abstract>In this paper, we present a novel approach to data collection for natural language processing (NLP), linguistic research and lexicographic work. Using the parlor game Fictionary as a framework, data can be crowd-sourced in a gamified manner, which carries the potential of faster, cheaper and better data when compared to traditional methods due to the engaging and competitive nature of the game. To improve data quality, the game includes a built-in review process where players review each other’s data and evaluate its quality. The paper proposes several games that can be used within this framework, and explains the value of the data generated by their use. These proposals include games that collect named entities along with their corresponding type tags, question-answer pairs, translation pairs and neologism, to name only a few. We are currently working on a digital platform that will host these games in Icelandic but wish to open the discussion around this topic and encourage other researchers to explore their own versions of the proposed games, all of which are language-independent.</abstract>
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%0 Conference Proceedings
%T Fictionary-Based Games for Language Resource Creation
%A Fri\dhriksdóttir, Steinunn Rut
%A Einarsson, Hafsteinn
%Y Callison-Burch, Chris
%Y Cieri, Christopher
%Y Fiumara, James
%Y Liberman, Mark
%S Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F fridriksdottir-einarsson-2022-fictionary
%X In this paper, we present a novel approach to data collection for natural language processing (NLP), linguistic research and lexicographic work. Using the parlor game Fictionary as a framework, data can be crowd-sourced in a gamified manner, which carries the potential of faster, cheaper and better data when compared to traditional methods due to the engaging and competitive nature of the game. To improve data quality, the game includes a built-in review process where players review each other’s data and evaluate its quality. The paper proposes several games that can be used within this framework, and explains the value of the data generated by their use. These proposals include games that collect named entities along with their corresponding type tags, question-answer pairs, translation pairs and neologism, to name only a few. We are currently working on a digital platform that will host these games in Icelandic but wish to open the discussion around this topic and encourage other researchers to explore their own versions of the proposed games, all of which are language-independent.
%U https://aclanthology.org/2022.nidcp-1.5
%P 25-31
Markdown (Informal)
[Fictionary-Based Games for Language Resource Creation](https://aclanthology.org/2022.nidcp-1.5) (Friðriksdóttir & Einarsson, NIDCP 2022)
ACL
- Steinunn Rut Friðriksdóttir and Hafsteinn Einarsson. 2022. Fictionary-Based Games for Language Resource Creation. In Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022, pages 25–31, Marseille, France. European Language Resources Association.