Search Results for author: Martin Tomko

Found 9 papers, 6 papers with code

Location Aware Modular Biencoder for Tourism Question Answering

1 code implementation4 Jan 2024 Haonan Li, Martin Tomko, Timothy Baldwin

To overcome this, we propose treating the QA task as a dense vector retrieval problem, where we encode questions and POIs separately and retrieve the most relevant POIs for a question by utilizing embedding space similarity.

Question Answering Retrieval

Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities

1 code implementation17 Feb 2023 Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp

Traffic analysis is crucial for urban operations and planning, while the availability of dense urban traffic data beyond loop detectors is still scarce.

Privacy Preserving

Translating Place-Related Questions to GeoSPARQL Queries

1 code implementation6 May 2022 Ehsan Hamzei, Martin Tomko, Stephan Winter

Many place-related questions can only be answered by complex spatial reasoning, a task poorly supported by factoid question retrieval.

Geographic Question Answering Question Answering +1

Templates of generic geographic information for answering where-questions

1 code implementation21 Jan 2021 Ehsan Hamzei, Stephan Winter, Martin Tomko

In this paper, we present templates that allow to characterize the human-generated answers and to imitate their structure.

Reading Comprehension

Target Word Masking for Location Metonymy Resolution

1 code implementation COLING 2020 Haonan Li, Maria Vasardani, Martin Tomko, Timothy Baldwin

Existing metonymy resolution approaches rely on features extracted from external resources like dictionaries and hand-crafted lexical resources.

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

no code implementations26 Aug 2020 Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson

This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators.

intent-classification Intent Classification

Detecting Unsigned Physical Road Incidents from Driver-View Images

no code implementations24 Apr 2020 Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham

In this paper we propose a system based on an off-the-shelf deep neural network architecture that is able to detect and recognize types of unsigned (non-placarded, such as traffic signs), physical (visible in images) road incidents.

Autonomous Vehicles

Cannot find the paper you are looking for? You can Submit a new open access paper.