SpaceRef: A corpus of street-level geographic descriptions

نویسندگان

  • Jana Götze
  • Johan Boye
چکیده

This article describes SPACEREF, a corpus of street-level geographic descriptions. Pedestrians are walking a route in a real urban environment, describing their actions. Their position is automatically logged, their speech is manually transcribed, and their references to objects are manually annotated with respect to a crowdsourced geographic database. We describe how the data was collected and annotated, and how it has been used in the context of creating resources for an automatic pedestrian navigation system.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Street-Level Geolocation From Natural Language Descriptions

In this article, we describe the TEGUS system for mining geospatial path data from natural language descriptions. TEGUS uses natural language processing and geospatial databases to recover path coordinates from user descriptions of paths at street level. We also describe the PURSUIT Corpus — an annotated corpus of geospatial path descriptions in spoken natural language. PURSUIT includes the spo...

متن کامل

Assessment of the Environmental Pollution of some Heavy Metals in Abadan City Street Dust using Geographic Information System (GIS)

High concentrations of heavy metals in street dust are considered to be a serious risk to the human health and the environment. In this study, 30 dust samples were collected from the pavements in the main streets of Abadan to determine the level of pollution of heavy metals in the street dust. Heavy metal concentrations were analyzed by inductively coupled spectroscopy (ICP-OES) method. The lev...

متن کامل

Towards Resolution of Bridging Descriptions

We present preliminary results concerning robust techniques for resolving bridging definite descriptions. We report our analysis of a collection of 20 Wall Street Journal articles from the Penn Treebank Corpus and our experiments with WordNet to identify relations between bridging descriptions and their antecedents. 1 B a c k g r o u n d As part of our research on definite description (DD) inte...

متن کامل

Mining Geospatial Path Data from Natural Language Descriptions

In this paper, we describe the TEGUS system for mining geospatial path data from natural language descriptions. TEGUS uses natural language processing, GIS entity databases, and graph-based path finding to predict lat/lon paths based only on natural language text input. We also report on preliminary results from experiments on a corpus of path descriptions.

متن کامل

Using a Spoken Dialogue System for Crowdsourcing Street-level Geographic Information

We present a novel scheme for enriching geographic database with street-level geographic information that could be useful for pedestrian navigation. A spoken dialogue system for crowdsourcing street-level geographic details was developed and tested in an in-lab experimentation. The system obtained 96.4% of concept values correctly after interacting with the first six of the fifteen users. This ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016