Andreas van Cranenburgh

发表

BERTje: A Dutch BERT Model pdf

Tommaso Caselli, Malvina Nissim, Arianna Bisazza, 2019, ArXiv.

Machine Learning Literature using Textual Features

Andreas van Cranenburgh, 2016 .

German and French Neural Supertagging Experiments for LTAG Parsing

Laura Kallmeyer, Tatiana Bladier, Younes Samih, 2018, ACL.

These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution

Corina Koolen, Andreas van Cranenburgh, Corina Koolen, 2017, EthNLP@EACL.

Blue eyes and porcelain cheeks: Computational extraction of physical descriptions from Dutch chick lit and literary novels

Corina Koolen, Andreas van Cranenburgh, Corina Koolen, 2018, Digit. Scholarsh. Humanit..

Cliche Expressions in Literary and Genre Novels

Andreas van Cranenburgh, 2018, LaTeCH@COLING.

Active DOP: an Active Learning Constituency Treebank Annotation Tool

Andreas van Cranenburgh, 2018, COLING.

Building a Corpus of Indefinite Uses Annotated with Fine-grained Semantic Functions

Maria Aloni, Raquel Fernández, Andreas van Cranenburgh, 2012, LREC.

Topic Modeling Literary Quality

Corina Koolen, Andreas van Cranenburgh, Kim Jautze, 2016, DH.

Identifying Literary Texts with Bigrams

Corina Koolen, Andreas van Cranenburgh, Corina Koolen, 2015, CLfL@NAACL-HLT.

From high heels to weed attics: a syntactic investigation of chick lit and literature

Hayco de Jong, Corina Koolen, Andreas van Cranenburgh, 2013, CLfL@NAACL-HLT.

Beautiful lips and porcelain cheeks: extracting physical descriptions from recent Dutch fiction

Sander Wubben, Corina Koolen, Andreas van Cranenburgh, 2014, DH.

Literary authorship attribution with phrase-structure fragments

Andreas van Cranenburgh, 2012, CLfL@NAACL-HLT.

A Dutch coreference resolution system with an evaluation on literary fiction

Andreas van Cranenburgh, 2019 .

Discontinuous Data-Oriented Parsing through Mild Context-Sensitivity

Andreas van Cranenburgh, 2011 .

Active DOP: A constituency treebank annotation tool with online learning

Andreas van Cranenburgh, 2018, COLING 2018.

Enriching Data-Oriented Parsing by blending morphology and syntax

Andreas van Cranenburgh, 2010 .

Identifying Multi-Word Expressions from Parallel Corpora with Kernel Methods and Crowdsourcing

Federico Sangati, Johanna Monti, Andreas van Cranenburgh, 2014 .

A Dutch coreference resolution system with quote attribution

Andreas van Cranenburgh, 2019 .

Multiword Expression Identification with Recurring Tree Fragments and Association Measures

Federico Sangati, Andreas van Cranenburgh, 2015, MWE@NAACL-HLT.

Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments pdf

Corina Koolen, Andreas van Cranenburgh, Corina Koolen, 2020, LATECHCLFL.

Discontinuous Data-Oriented Parsing: A mildly context-sensitive all-fragments grammar

Federico Sangati, Remko Scha, Andreas van Cranenburgh, 2011, SPMRL@IWPT.

LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible pdf

Dirk Roorda, Andreas van Cranenburgh, Martijn Naaijer, 2014, CLIN 2014.

Efficient parsing with Linear Context-Free Rewriting Systems

Andreas van Cranenburgh, 2012, EACL.

Model Minimization in Qualitative Reasoning

Andreas van Cranenburgh, Hanne Nijhuis, 2010 .

Extracting tree fragments in linear average time

Andreas van Cranenburgh, 2012 .

Literary quality in the eye of the Dutch reader: The National Reader Survey

Andreas van Cranenburgh, K. Dalen-Oskam, Corina Koolen, 2020 .

Rich statistical parsing and literary language

Andreas van Cranenburgh, A. W. van Cranenburgh, 2012 .

Simulating Language Games of the Two Word Stage using Unification and Substitutions on a Corpus of Exemplars with a focus on Semantics

Andreas van Cranenburgh, 2009 .

A Data-Oriented Model of Literary Language

Andreas van Cranenburgh, Andreas van Cranenburgh, Rens Bod, 2017, EACL.

Data-Oriented Parsing with Discontinuous Constituents and Function Tags

Rens Bod, Andreas van Cranenburgh, Remko Scha, 2016, J. Lang. Model..

Invented antonyms: Esperanto as a semantic lab

Raquel Fernández, Andreas van Cranenburgh, A. van Cranenburgh, 2010 .

Embarrassingly Simple Unsupervised Aspect Extraction pdf

Andreas van Cranenburgh, Andreas van Cranenburgh, St'ephan Tulkens, 2020, ACL.

What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models

Malvina Nissim, Andreas van Cranenburgh, Wietse de Vries, 2020, FINDINGS.

A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News pdf

Andreas van Cranenburgh, Andreas van Cranenburgh, Corben Poot, 2020, CRAC.

Vector space explorations of literary language

Andreas van Cranenburgh, Andreas Cranenburgh, Karina Dalen-Oskam, 2019, Lang. Resour. Evaluation.

No such thing as a language

Andreas van Cranenburgh, J. Hamann, 2011 .

Data-Oriented Parsing with Discontinuous Constituents and Function Tags

Andreas van Cranenburgh, R. Scha, R. Bod, 2016, J. Lang. Model..

UvA-DARE (Digital Academic Repository) A Data-Oriented Model of Literary Language A Data-Oriented Model of Literary Language

Andreas van Cranenburgh, A. Koller, P. Blunsom, 2017 .

The Literary Pepsi Challenge : intrinsic and extrinsic factors in judging literary quality

Andreas van Cranenburgh, Corina Koolen, 2019 .

Extraction of Phrase-Structure Fragments with a Linear Average Time Tree-Kernel

Andreas van Cranenburgh, Andreas van Cranenburgh, 2014, CLIN 2014.

Putting Dutchcoref to the Test: Character Detection and Gender Dynamics in Contemporary Dutch Novels

Andreas van Cranenburgh, J. Zundert, Roel Smeets, 2023, CHR.

From high heels to weed attics: a syntactic investigation of chick lit and literature

Andreas van Cranenburgh, Corina Koolen, Kim Jautze, 2013, CLfL@NAACL-HLT.

Discontinuous Parsing with an Efficient and Accurate DOP Model

Andreas van Cranenburgh, R. Bod, 2013, IWPT.