Identifying Linguistic Areas for Geolocation

doi 10.18653/v1/d19-5530
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

IP Geolocation in Metropolitan Areas

2011English

Machine Learning Techniques for Detecting Identifying Linguistic Patterns in News Media

2019English

Dense Node Representation for Geolocation

2019English

Time-Critical Geolocation for Social Good

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2020English

A Learning-Based Approach for IP Geolocation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

Identifying Diabetes Management Opportunity Areas in the USA

Family Medicine and Community Health
EnvironmentalPublic HealthFamily PracticeOccupational Health
2020English

A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters

TransNav
TransportationOcean EngineeringOceanography
2013English

Planning for the Future: Identifying Conservation Priority Areas for Iberian Birds Under Climate Change

Landscape Ecology
DevelopmentEcologyNaturePlanningLandscape ConservationGeography
2018English

Identifying Areas for Field Conservation of Forages in Latin American Disturbed Environments

Ecology and Society
Ecology
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy