Search Results for author: Marcus Klang

Found 11 papers, 1 papers with code

Docria: Processing and Storing Linguistic Data with Wikipedia

no code implementations WS (NoDaLiDa) 2019 Marcus Klang, Pierre Nugues

Wikipedia is one example of a corpora which spans a huge range of topics and is freely available.

Hedwig: A Named Entity Linker

no code implementations LREC 2020 Marcus Klang, Pierre Nugues

Named entity linking is the task of identifying mentions of named things in text, such as {``}Barack Obama{''} or {``}New York{''}, and linking these mentions to unique identifiers.

Entity Linking

Overview of the Ugglan Entity Discovery and Linking System

no code implementations13 Mar 2019 Marcus Klang, Firas Dib, Pierre Nugues

Ugglan is a system designed to discover named entities and link them to unique identifiers in a knowledge base.

named-entity-recognition Named Entity Recognition +1

Multilingual Supervision of Semantic Annotation

no code implementations COLING 2016 Peter Exner, Marcus Klang, Pierre Nugues

Our results show that the annotation projection using entities in combination with loosely parallel corpora provides a viable approach to extending previous attempts.

Question Answering Relation Extraction +3

Langforia: Language Pipelines for Annotating Large Collections of Documents

no code implementations COLING 2016 Marcus Klang, Pierre Nugues

Langforia works as a web service, where the server hosts the language processing components and the client, the input and result visualization.

Dependency Parsing Entity Linking +2

WIKIPARQ: A Tabulated Wikipedia Resource Using the Parquet Format

no code implementations LREC 2016 Marcus Klang, Pierre Nugues

Wikipedia has become one of the most popular resources in natural language processing and it is used in quantities of applications.

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