Search Results for author: Stefan Bott

Found 12 papers, 0 papers with code

MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish

no code implementations11 Apr 2024 Stefan Bott, Horacio Saggion, Nelson Peréz Rojas, Martin Solis Salazar, Saul Calderon Ramirez

This dataset represents the first of its kind in Catalan and a substantial addition to the sparse data on automatic lexical simplification which is available for Spanish.

Lexical Complexity Prediction Lexical Simplification

Factoring Ambiguity out of the Prediction of Compositionality for German Multi-Word Expressions

no code implementations WS 2017 Stefan Bott, Sabine Schulte im Walde

Ambiguity represents an obstacle for distributional semantic models(DSMs), which typically subsume the contexts of all word senses within one vector.

Clustering Machine Translation

GhoSt-PV: A Representative Gold Standard of German Particle Verbs

no code implementations WS 2016 Stefan Bott, Nana Khvtisavrishvili, Max Kisselew, Sabine Schulte im Walde

German particle verbs represent a frequent type of multi-word-expression that forms a highly productive paradigm in the lexicon.

GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds

no code implementations LREC 2016 Sabine Schulte im Walde, Anna H{\"a}tty, Stefan Bott, Nana Khvtisavrishvili

This paper presents a novel gold standard of German noun-noun compounds (Ghost-NN) including 868 compounds annotated with corpus frequencies of the compounds and their constituents, productivity and ambiguity of the constituents, semantic relations between the constituents, and compositionality ratings of compound-constituent pairs.

Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality

no code implementations LREC 2014 Stefan Bott, Sabine Schulte im Walde

In the work presented here we assess the degree of compositionality of German Particle Verbs with a Distributional Semantics Model which only relies on word window information and has no access to syntactic information as such.

Lemmatization Semantic Composition

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