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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 – 11 of 11 1 Evaluating a Dependency Parser on DeReKo Fankhauser, Peter [Verfasser]; Do, Bich-Ngoc [Verfasser]; Kupietz, Marc [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 2 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 3 Neural reranking for dependency parsing: An evaluation Do, Bich-Ngoc; Rehbein, Ines. - : Association for Computational Linguistics, ACL, 2020 BASE Show details 4 Parsers know best: German PP attachment revisited Do, Bich-Ngoc; Rehbein, Ines. - : ACM Digital Library, 2020 Abstract: In the paper, we revisit the PP attachment problem which has been identified as one of the major sources for parser errors and discuss shortcomings of recent work. In particular, we show that using gold information for the extraction of attachment candidates as well as a missing comparison of the system's output to the output of a full syntactic parser leads to an overly optimistic assessment of the results. We address these issues by presenting a realistic evaluation of the potential of different PP attachment systems, using fully predicted information as system input. We compare our results against the output of a strong neural parser and show that the full parsing approach is superior to modeling PP attachment disambiguation as a separate task. Keyword: 004 Informatik URL: https://madoc.bib.uni-mannheim.de/57873 https://madoc.bib.uni-mannheim.de/57873/1/2020.coling-main.185.pdf https://madoc.bib.uni-mannheim.de/57873/ BASE Hide details 5 Evaluating LSTM models for grammatical function labelling Do, Bich-Ngoc [Verfasser]; Rehbein, Ines [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details 6 What do we need to know about an unknown word when parsing German Do, Bich-Ngoc [Verfasser]; Rehbein, Ines [Verfasser]; Frank, Anette [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details 7 Universal Dependencies are hard to parse – or are they? Rehbein, Ines [Verfasser]; Steen, Julius [Verfasser]; Do, Bich-Ngoc [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details 8 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 9 Universal Dependencies are hard to parse – or are they? [Online resource] Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc. IDS-Repository Show details 10 Evaluating LSTM models for grammatical function labelling [Online resource] Do, Bich-Ngoc; Rehbein, Ines IDS-Repository Show details 11 Evaluating a Dependency Parser on DeReKo [Online resource] Fankhauser, Peter; Do, Bich-Ngoc; Kupietz, Marc IDS-Repository Show details

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