Gamification for IR: The query aspects game

Research output: Contribution to journal › Conference article › Research › peer-review

Standard

Gamification for IR : The query aspects game. / Di Nunzio, Giorgio Maria; Maistro, Maria; Zilio, Daniel.

In: CEUR Workshop Proceedings, Vol. 1749, 01.01.2016.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Di Nunzio, GM, Maistro, M & Zilio, D 2016, 'Gamification for IR: The query aspects game', CEUR Workshop Proceedings, vol. 1749.

APA

Di Nunzio, G. M., Maistro, M., & Zilio, D. (2016). Gamification for IR: The query aspects game. CEUR Workshop Proceedings, 1749.

Vancouver

Di Nunzio GM, Maistro M, Zilio D. Gamification for IR: The query aspects game. CEUR Workshop Proceedings. 2016 Jan 1;1749.

Author

Di Nunzio, Giorgio Maria ; Maistro, Maria ; Zilio, Daniel. / Gamification for IR : The query aspects game. In: CEUR Workshop Proceedings. 2016 ; Vol. 1749.

Bibtex

@inproceedings{56beddc5c15349a08172e2f3f593414b,
title = "Gamification for IR: The query aspects game",
abstract = "The creation of a labelled dataset for Information Retrieval (IR) purposes is a costly process. For this reason, a mix of crowdsourcing and active learning approaches have been proposed in the literature in order to assess the relevance of documents of a collection given a particular query at an affordable cost. In this paper, we present the design of the gamification of this interactive process that draws inspiration from recent works in the area of gamification for IR. In particular, we focus on three main points: i) we want to create a set of relevance judgements with the least effort by human assessors, ii) we use interactive search interfaces that use game mechanics, iii) we use Natural Language Processing (NLP) to collect different aspects of a query.",
author = "{Di Nunzio}, {Giorgio Maria} and Maria Maistro and Daniel Zilio",
year = "2016",
month = jan,
day = "1",
language = "English",
volume = "1749",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "ceur workshop proceedings",
note = "3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016 ; Conference date: 05-12-2016 Through 07-12-2016",

}

RIS

TY - GEN

T1 - Gamification for IR

T2 - 3rd Italian Conference on Computational Linguistics, CLiC-it 2016 and 5th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, EVALITA 2016

AU - Di Nunzio, Giorgio Maria

AU - Maistro, Maria

AU - Zilio, Daniel

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The creation of a labelled dataset for Information Retrieval (IR) purposes is a costly process. For this reason, a mix of crowdsourcing and active learning approaches have been proposed in the literature in order to assess the relevance of documents of a collection given a particular query at an affordable cost. In this paper, we present the design of the gamification of this interactive process that draws inspiration from recent works in the area of gamification for IR. In particular, we focus on three main points: i) we want to create a set of relevance judgements with the least effort by human assessors, ii) we use interactive search interfaces that use game mechanics, iii) we use Natural Language Processing (NLP) to collect different aspects of a query.

AB - The creation of a labelled dataset for Information Retrieval (IR) purposes is a costly process. For this reason, a mix of crowdsourcing and active learning approaches have been proposed in the literature in order to assess the relevance of documents of a collection given a particular query at an affordable cost. In this paper, we present the design of the gamification of this interactive process that draws inspiration from recent works in the area of gamification for IR. In particular, we focus on three main points: i) we want to create a set of relevance judgements with the least effort by human assessors, ii) we use interactive search interfaces that use game mechanics, iii) we use Natural Language Processing (NLP) to collect different aspects of a query.

UR - http://www.scopus.com/inward/record.url?scp=85009236662&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85009236662

VL - 1749

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

Y2 - 5 December 2016 through 7 December 2016

ER -

ID: 216517567