@inproceedings{baldridge-etal-2018-points,
title = "Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World",
author = "Baldridge, Jason and
Bedrax-Weiss, Tania and
Luong, Daphne and
Narayanan, Srini and
Pang, Bo and
Pereira, Fernando and
Soricut, Radu and
Tseng, Michael and
Zhang, Yuan",
editor = "Kordjamshidi, Parisa and
Bhatia, Archna and
Pustejovsky, James and
Moens, Marie-Francine",
booktitle = "Proceedings of the First International Workshop on Spatial Language Understanding",
month = jun,
year = "2018",
address = "New Orleans",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-1406",
doi = "10.18653/v1/W18-1406",
pages = "46--52",
abstract = "Spatial language understanding is important for practical applications and as a building block for better abstract language understanding. Much progress has been made through work on understanding spatial relations and values in images and texts as well as on giving and following navigation instructions in restricted domains. We argue that the next big advances in spatial language understanding can be best supported by creating large-scale datasets that focus on points and paths based in the real world, and then extending these to create online, persistent playscapes that mix human and bot players, where the bot players must learn, evolve, and survive according to their depth of understanding of scenes, navigation, and interactions.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="baldridge-etal-2018-points">
<titleInfo>
<title>Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World</title>
</titleInfo>
<name type="personal">
<namePart type="given">Jason</namePart>
<namePart type="family">Baldridge</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tania</namePart>
<namePart type="family">Bedrax-Weiss</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Daphne</namePart>
<namePart type="family">Luong</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Srini</namePart>
<namePart type="family">Narayanan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bo</namePart>
<namePart type="family">Pang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Fernando</namePart>
<namePart type="family">Pereira</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Radu</namePart>
<namePart type="family">Soricut</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Michael</namePart>
<namePart type="family">Tseng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yuan</namePart>
<namePart type="family">Zhang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018-06</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the First International Workshop on Spatial Language Understanding</title>
</titleInfo>
<name type="personal">
<namePart type="given">Parisa</namePart>
<namePart type="family">Kordjamshidi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Archna</namePart>
<namePart type="family">Bhatia</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">James</namePart>
<namePart type="family">Pustejovsky</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marie-Francine</namePart>
<namePart type="family">Moens</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">New Orleans</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Spatial language understanding is important for practical applications and as a building block for better abstract language understanding. Much progress has been made through work on understanding spatial relations and values in images and texts as well as on giving and following navigation instructions in restricted domains. We argue that the next big advances in spatial language understanding can be best supported by creating large-scale datasets that focus on points and paths based in the real world, and then extending these to create online, persistent playscapes that mix human and bot players, where the bot players must learn, evolve, and survive according to their depth of understanding of scenes, navigation, and interactions.</abstract>
<identifier type="citekey">baldridge-etal-2018-points</identifier>
<identifier type="doi">10.18653/v1/W18-1406</identifier>
<location>
<url>https://aclanthology.org/W18-1406</url>
</location>
<part>
<date>2018-06</date>
<extent unit="page">
<start>46</start>
<end>52</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
%A Baldridge, Jason
%A Bedrax-Weiss, Tania
%A Luong, Daphne
%A Narayanan, Srini
%A Pang, Bo
%A Pereira, Fernando
%A Soricut, Radu
%A Tseng, Michael
%A Zhang, Yuan
%Y Kordjamshidi, Parisa
%Y Bhatia, Archna
%Y Pustejovsky, James
%Y Moens, Marie-Francine
%S Proceedings of the First International Workshop on Spatial Language Understanding
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans
%F baldridge-etal-2018-points
%X Spatial language understanding is important for practical applications and as a building block for better abstract language understanding. Much progress has been made through work on understanding spatial relations and values in images and texts as well as on giving and following navigation instructions in restricted domains. We argue that the next big advances in spatial language understanding can be best supported by creating large-scale datasets that focus on points and paths based in the real world, and then extending these to create online, persistent playscapes that mix human and bot players, where the bot players must learn, evolve, and survive according to their depth of understanding of scenes, navigation, and interactions.
%R 10.18653/v1/W18-1406
%U https://aclanthology.org/W18-1406
%U https://doi.org/10.18653/v1/W18-1406
%P 46-52
Markdown (Informal)
[Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World](https://aclanthology.org/W18-1406) (Baldridge et al., SpLU 2018)
ACL
- Jason Baldridge, Tania Bedrax-Weiss, Daphne Luong, Srini Narayanan, Bo Pang, Fernando Pereira, Radu Soricut, Michael Tseng, and Yuan Zhang. 2018. Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World. In Proceedings of the First International Workshop on Spatial Language Understanding, pages 46–52, New Orleans. Association for Computational Linguistics.