Publikationsliste einschränken

Chart

 bis  

• englisch (19)

• Rehbein, Ines (15)
• Frank, Anette (4)
• Kupietz, Marc (2)
• Steen, Julius (2)

• Fankhauser, Peter (2)
• Ruppenhofer, Josef (1)

Publikationen in heiBIB     

• Do, Bich-Ngoc: Neural techniques for German dependency parsing / Bich-Ngoc Do ; supervisor: Dr. Ines Rehbein, second supervisor: Prof. Dr. Anette Frank. -
  Heidelberg, 11th November 2023. - xii, 208 Seiten : Illustrationen, Diagramme
• Do, Bich-Ngoc: Topological field labeler for German / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (10 Files)
  DOI: 10.11588/data/YYNQFF
• Do, Bich-Ngoc: Neural dependency parser with biaffine attention and BERT embeddings / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (9 Files)
  DOI: 10.11588/data/0U6IWL
• Do, Bich-Ngoc: Real-world PP attachment disambiguation dataset / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (9 Files)
  DOI: 10.11588/data/NB46XR
• Do, Bich-Ngoc: Neural PP attachment disambiguation systems / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (16 Files)
  DOI: 10.11588/data/DKWKGJ
• Do, Bich-Ngoc: Tool for extracting PP attachment disambiguation dataset / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (2 Files)
  DOI: 10.11588/data/RHD3KS
• Do, Bich-Ngoc: Neural rerankers for dependency parsing / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (12 Files)
  DOI: 10.11588/data/NNGPQZ
• Do, Bich-Ngoc: Head selection parsers and LSTM labelers / Bich-Ngoc Do, Ines Rehbein, Anette Frank. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (19 Files)
  DOI: 10.11588/data/BPWWJL
• Do, Bich-Ngoc: Datasets for dependency tree reranking / Bich-Ngoc Do, Ines Rehbein. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (8 Files)
  DOI: 10.11588/data/E5NOYH
• Fankhauser, Peter: Neural dependency parser with biaffine attention / Peter Fankhauser, Bich-Ngoc Do, Marc Kupietz. -
  Heidelberg: Universität, 2023-11-13. - 1 Online-Ressource (5 Files)
  DOI: 10.11588/data/DZ9MUS
• Do, Bich-Ngoc: Neural techniques for German dependency parsing / Bich-Ngoc Do ; supervisor: Dr. Ines Rehbein [und eine weitere Beraterin]. -
  Heidelberg, 2022. - 1 Online-Ressource (222 Seiten) : Illustrationen, Diagramme
  DOI: 10.11588/heidok.00033994
• Do, Bich-Ngoc: Parsers know best : German PP attachment revisited / Bich-Ngoc Do, Ines Rehbein, 2020. - 13 S.
  In: The 28th International Conference on Computational Linguistics - proceedings of the conference. (2020), Seite 2049-2061
  DOI: 10.18653/v1/2020.coling-main.185
• Do, Bich-Ngoc: Neural reranking for dependency parsing : an evaluation / Bich-Ngoc Do, Ines Rehbein, 2020. - 11 S.
  In: The 58th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference. (2020), Seite 4123-4133
  DOI: 10.18653/v1/2020.acl-main.379
• Fankhauser, Peter: Evaluating a dependency parser on DeReKo / Peter Fankhauser, Bich-Ngoc Do, Marc Kupietz, 2020. - 5 S.
  In: 8th Workshop on Challenges in the Management of Large Corpora (CMLC-8). (2020), Seite 10-14
• Rehbein, Ines: tweeDe / Ines Rehbein, Josef Ruppenhofer, Bich-Ngoc Do. -
  Heidelberg: Universität, 2020-03-26. - 1 Online-Ressource (2 Files)
  DOI: 10.11588/data/S90S35
• Rehbein, Ines: Converter for content-to-head style syntactic dependencies / Ines Rehbein, Julius Steen, Bich-Ngoc Do, Anette Frank. -
  Heidelberg: Universität, 2020-03-26. - 1 Online-Ressource (2 Files)
  DOI: 10.11588/data/HE3BAZ
• Do, Bich-Ngoc: Evaluating LSTM models for grammatical function labelling / Bich-Ngoc Do, Ines Rehbein, September 2017. - 6 S.
  In: 15th International Conference on Parsing Technologies - proceedings of the conference. (2017), Seite 128-133
• Do, Bich-Ngoc: What do we need to know about an unknown word when parsing German / Bich-Ngoc Do, Ines Rehbein, Anette Frank, September 2017. - 7 S.
  In: First Workshop on Subword and Character Level Models in NLP - proceedings of the workshop. (2017), Seite 117-123
  DOI: 10.18653/v1/W17-4117
• Rehbein, Ines: Universal dependencies are hard to parse - or are they? / Ines Rehbein, Julius Steen, Bich-Ngoc Do, Anette Frank, September 2017. - 11 S.
  In: Depling 2017 PISA, International Conference on Dependency Linguistics. (2017), Seite 218-228

IDs

GND:	1208354051

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Do, Bich-Ngoc in ...

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