Search Results for author: Mark Granroth-Wilding

Found 10 papers, 3 papers with code

Silo NLP’s Participation at WAT2022

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).

Translation

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

1 code implementation18 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.

Benchmarking Retrieval

Silo NLP's Participation at WAT2022

1 code implementation2 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).

Translation

Multilingual Dynamic Topic Model

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.

Time Series Time Series Analysis +1

Data-Driven News Generation for Automated Journalism

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.

News Generation

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