📰 Computational Linguistics in the Netherlands Journal 2017 — papers

The works of Computational Linguistics in the Netherlands Journal published in 2017 that our library holds: 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning RepresentationsRik van Noord, Johan Bos71 citations · our summary
2. MoNoise: Modeling Noise Using a Modular Normalization System ↗Rob van der Goot, Gertjan van Noord31 citations
3. Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings ↗Pieter Fivez, Simon Šuster, Walter M. P. Daelemans14 citations
4. Investigating ‘Aspect’ in NMT and SMT: Translating the English Simple Past and Present Perfect ↗Eva Vanmassenhove, Jinhua Du, Andy Way12 citations
5. Evaluation of Named Entity Recognition in Dutch Online Criminal Complaints ↗Marijn Schraagen, Matthieu J. S. Brinkhuis, Floris Bex7 citations
6. Profiling Dutch Authors on Twitter: Discovering Political Preference and Income Level ↗Reinder Gerard van Dalen, Léon Redmar Melein, Barbara Plank6 citations
7. A probabilistic agent-based simulation for community level language change in different scenarios ↗Merijn Beeksma, H.G. de Vos, Tom Claassen et al.4 citations
8. Querying Large Treebanks: Benchmarking GrETEL Indexing ↗Bram Vanroy, Vincent Vandeghinste, Liesbeth Augustinus3 citations

All works of the year (11)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning RepresentationsRik van Noord, Johan Bos71 citations · our summary
2. MoNoise: Modeling Noise Using a Modular Normalization System ↗Rob van der Goot, Gertjan van Noord31 citations
3. Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings ↗Pieter Fivez, Simon Šuster, Walter M. P. Daelemans14 citations
4. Investigating ‘Aspect’ in NMT and SMT: Translating the English Simple Past and Present Perfect ↗Eva Vanmassenhove, Jinhua Du, Andy Way12 citations
5. Evaluation of Named Entity Recognition in Dutch Online Criminal Complaints ↗Marijn Schraagen, Matthieu J. S. Brinkhuis, Floris Bex7 citations
6. Profiling Dutch Authors on Twitter: Discovering Political Preference and Income Level ↗Reinder Gerard van Dalen, Léon Redmar Melein, Barbara Plank6 citations
7. A probabilistic agent-based simulation for community level language change in different scenarios ↗Merijn Beeksma, H.G. de Vos, Tom Claassen et al.4 citations
8. Querying Large Treebanks: Benchmarking GrETEL Indexing ↗Bram Vanroy, Vincent Vandeghinste, Liesbeth Augustinus3 citations
9. A Critical Assessment of a Method for Detecting Diachronic Meaning Shifts: Lessons Learnt from Experiments on Dutch ↗Hessel Haagsma, Malvina Nissim
10. Data: Timely identification of event start dates from Twitter ↗Florian Kunneman, Ali Hürriyetoğlu, N.H.J. Oostdijk et al.
11. Preface ↗Vandeghinste, Vincent, Van Eynde, Frank

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning RepresentationsComputational Linguistics in the Netherlands JournalRik van Noord, Johan Bos2017 · 137 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧾Semantic parsing & meaning representation (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of GroningenGroningen · Netherlands1 work here

works and citations from OpenAlex and our library.

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