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.
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.
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.
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.
no code implementations • SEMEVAL 2018 • Sebastian Beschke, Wolfgang Menzel
This paper describes CCG/AMR, a novel grammar for semantic parsing of Abstract Meaning Representations.
no code implementations • SEMEVAL 2017 • Mirela-Stefania Duma, Wolfgang Menzel
This paper describes our unsupervised knowledge-free approach to the SemEval-2017 Task 1 Competition.
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.