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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Parsers Know Best: German PP Attachment Revisited ... The 28th International Conference on Computational Linguistics 2020; Do, Bich-Ngoc; Rehbein, Ines. - : Underline Science Inc., 2020 BASE Show details 2 Neural reranking for dependency parsing: An evaluation Do, Bich-Ngoc; Rehbein, Ines. - : Association for Computational Linguistics, ACL, 2020 BASE Show details 3 Parsers know best: German PP attachment revisited Do, Bich-Ngoc; Rehbein, Ines. - : ACM Digital Library, 2020 BASE Show details 4 What do we need to know about an unknown word when parsing German [Online resource] Do, Bich-Ngoc; Rehbein, Ines; Frank, Anette IDS-Repository Show details 5 Universal Dependencies are hard to parse – or are they? [Online resource] Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc. IDS-Repository Show details 6 Evaluating LSTM models for grammatical function labelling [Online resource] Do, Bich-Ngoc; Rehbein, Ines IDS-Repository Show details 7 Evaluating a Dependency Parser on DeReKo [Online resource] Fankhauser, Peter; Do, Bich-Ngoc; Kupietz, Marc IDS-Repository Show details

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