1 code implementation • NAACL 2022 • Haonan Li, Martin Tomko, Maria Vasardani, Timothy Baldwin
Raw questions and contexts are extracted from the Natural Questions dataset.
1 code implementation • 4 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.
1 code implementation • 17 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.
1 code implementation • 6 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.
1 code implementation • 21 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.
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.
no code implementations • 26 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.
no code implementations • 24 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.
no code implementations • SEMEVAL 2019 • Haonan Li, Minghan Wang, Timothy Baldwin, Martin Tomko, Maria Vasardani
This paper describes our submission to SemEval-2019 Task 12 on toponym resolution over scientific articles.