Skip to content
/ qtuna Public

The QTuna Dataset, which is detailed in the paper "QTUNA: A Corpus for Understanding How Speakers Use Quantification"

Notifications You must be signed in to change notification settings

a-quei/qtuna

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

QTUNA

Introduction

QTUNA is a series of elicitation experiments in which human speakers were asked to perform a linguistic task that invites the use of quantified expressions in order to inform a possible Natural Language Generation algorithms that mimic humans' use of quantified expressions. This work was inspired by a line of work focusing one specific class of noun phrases, i.e., referring expression, where they focus on corpora of referring expressions that were elicited under experimentally controlled conditions (e.g., TUNA experiment), but aiming this time to gain insights into quantified noun phrases.

Data

Scene

The scenes we used for the QTUNA experiements can be dount in the scenes.pdf.

Raw Data

The plain texts elicitated in the QTUNA experiments can be found in the raw_data folder, each of which is in the format of:

1	1	1	There are only blue squares.
2	1	2	No circles, half red
3	1	3	Equally devided blue objects
4	1	4	Equal amount of red circles and blue squares
5	1	5	Most of them are squares, all blue

where the second and the third colomns are the subject ID and the scene ID respectively.

About

The QTuna Dataset, which is detailed in the paper "QTUNA: A Corpus for Understanding How Speakers Use Quantification"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published