no code implementations • WS 2017 • Leo Lepp{\"a}nen, Myriam Munezero, Mark Granroth-Wilding, Hannu Toivonen
Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce.
no code implementations • RANLP 2019 • Elaine Zosa, Mark Granroth-Wilding
Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets.
no code implementations • RANLP 2019 • Eliel Soisalon-Soininen, Mark Granroth-Wilding
We address the problem of cognate identification across vocabulary pairs of any set of languages.
1 code implementation • LREC 2020 • Carlos Santos Armendariz, Matthew Purver, Matej Ulčar, Senja Pollak, Nikola Ljubešić, Marko Robnik-Šikonja, Mark Granroth-Wilding, Kristiina Vaik
State of the art natural language processing tools are built on context-dependent word embeddings, but no direct method for evaluating these representations currently exists.
no code implementations • LREC 2020 • Elaine Zosa, Mark Granroth-Wilding, Lidia Pivovarova
We address the problem of linking related documents across languages in a multilingual collection.
1 code implementation • 2 Aug 2022 • Shantipriya Parida, Subhadarshi Panda, Stig-Arne Grönroos, Mark Granroth-Wilding, Mika Koistinen
This paper provides the system description of "Silo NLP's" submission to the Workshop on Asian Translation (WAT2022).
1 code implementation • 18 Jun 2023 • Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavacanti Rocha
To the best of our knowledge, CompanyKG is the first large-scale heterogeneous graph dataset originating from a real-world investment platform, tailored for quantifying inter-company similarity.
no code implementations • EMNLP (NLPOSS) 2020 • Mark Granroth-Wilding
We present Pimlico, an open source toolkit for building pipelines for processing large corpora.
no code implementations • WAT 2022 • Shantipriya Parida, Subhadarshi Panda, Stig-Arne Grönroos, Mark Granroth-Wilding, Mika Koistinen
This paper provides the system description of “Silo NLP’s” submission to the Workshop on Asian Translation (WAT2022).