Search Results for author: Wolfgang Menzel

Found 17 papers, 0 papers with code

Eye4Ref: A Multimodal Eye Movement Dataset of Referentially Complex Situations

no code implementations LREC 2020 {\"O}zge Alacam, Eugen Ruppert, Amr Rekaby Salama, Tobias Staron, Wolfgang Menzel

Eye4Ref is a rich multimodal dataset of eye-movement recordings collected from referentially complex situated settings where the linguistic utterances and their visual referential world were available to the listener.

Sentence

Translation of Biomedical Documents with Focus on Spanish-English

no code implementations WS 2018 Mirela-Stefania Duma, Wolfgang Menzel

For the WMT 2018 shared task of translating documents pertaining to the Biomedical domain, we developed a scoring formula that uses an unsophisticated and effective method of weighting term frequencies and was integrated in a data selection pipeline.

Domain Adaptation Machine Translation +1

The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output

no code implementations WS 2018 Melania Duma, Wolfgang Menzel

Two variants of the system were submitted to the sentence level WMT18 Quality Estimation Task for the English-German language pair.

Machine Translation NMT +1

Text Completion using Context-Integrated Dependency Parsing

no code implementations WS 2018 Amr Rekaby Salama, {\"O}zge Ala{\c{c}}am, Wolfgang Menzel

Incomplete linguistic input, i. e. due to a noisy environment, is one of the challenges that a successful communication system has to deal with.

Decision Making Dependency Parsing +2

Graph Algebraic Combinatory Categorial Grammar

no code implementations SEMEVAL 2018 Sebastian Beschke, Wolfgang Menzel

This paper describes CCG/AMR, a novel grammar for semantic parsing of Abstract Meaning Representations.

AMR Parsing Machine Translation

Because Size Does Matter: The Hamburg Dependency Treebank

no code implementations LREC 2014 Kilian A. Foth, Arne K{\"o}hn, Niels Beuck, Wolfgang Menzel

We present the Hamburg Dependency Treebank (HDT), which to our knowledge is the largest dependency treebank currently available.

Cannot find the paper you are looking for? You can Submit a new open access paper.