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Sander Wubben
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2020 – today
- 2020
- [j2]Suzan Verberne, Emiel Krahmer, Sander Wubben, Antal van den Bosch:
Query-based summarization of discussion threads. Nat. Lang. Eng. 26(1): 3-29 (2020) - [c28]Chris van der Lee, Chris Emmery, Sander Wubben, Emiel Krahmer:
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. INLG 2020: 68-79
2010 – 2019
- 2019
- [c27]Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, Emiel Krahmer:
Best practices for the human evaluation of automatically generated text. INLG 2019: 355-368 - 2018
- [j1]Suzan Verberne, Emiel Krahmer, Iris Hendrickx, Sander Wubben, Antal van den Bosch:
Creating a reference data set for the summarization of discussion forum threads. Lang. Resour. Evaluation 52(2): 461-483 (2018) - [c26]Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer:
NeuralREG: An end-to-end approach to referring expression generation. ACL (1) 2018: 1959-1969 - [c25]Chris van der Lee, Bart Verduijn, Emiel Krahmer, Sander Wubben:
Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer. COLING 2018: 962-972 - [c24]Florian Kunneman, Sander Wubben, Antal van den Bosch, Emiel Krahmer:
Aspect-based summarization of pros and cons in unstructured product reviews. COLING 2018: 2219-2229 - [c23]Chris van der Lee, Emiel Krahmer, Sander Wubben:
Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. INLG 2018: 35-45 - [c22]Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer, Sander Wubben:
Enriching the WebNLG corpus. INLG 2018: 171-176 - [i1]Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer:
NeuralREG: An end-to-end approach to referring expression generation. CoRR abs/1805.08093 (2018) - 2017
- [c21]Suzan Verberne, Antal van den Bosch, Sander Wubben, Emiel Krahmer:
Automatic Summarization of Domain-specific Forum Threads: Collecting Reference Data. CHIIR 2017: 253-256 - [c20]Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben:
Generating flexible proper name references in text: Data, models and evaluation. EACL (1) 2017: 655-664 - [c19]Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, Emiel Krahmer:
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. INLG 2017: 1-10 - [c18]Chris van der Lee, Emiel Krahmer, Sander Wubben:
PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. INLG 2017: 95-104 - 2016
- [c17]Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben:
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form. ACL (1) 2016 - [c16]Sander Wubben, Emiel Krahmer, Antal van den Bosch, Suzan Verberne:
Abstractive Compression of Captions with Attentive Recurrent Neural Networks. INLG 2016: 41-50 - [c15]Thiago Castro Ferreira, Sander Wubben, Emiel Krahmer:
Towards proper name generation: a corpus analysis. INLG 2016: 222-226 - [c14]Alice Frain, Sander Wubben:
SatiricLR: a Language Resource of Satirical News Articles. LREC 2016 - [c13]Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben:
Individual Variation in the Choice of Referential Form. HLT-NAACL 2016: 423-427 - 2015
- [c12]Wernard Schmit, Sander Wubben:
Predicting Ratings for New Movie Releases from Twitter Content. WASSA@EMNLP 2015: 122-126 - 2014
- [c11]Corina Koolen, Sander Wubben, Andreas van Cranenburgh:
Beautiful lips and porcelain cheeks: extracting physical descriptions from recent Dutch fiction. DH 2014 - [c10]Sander Wubben, Antal van den Bosch, Emiel Krahmer:
Creating and using large monolingual parallel corpora for sentential paraphrase generation. LREC 2014: 4292-4299 - 2013
- [c9]Sander Wubben, Emiel Krahmer, Antal van den Bosch:
Using character overlap to improve language transformation. LaTeCH@ACL 2013: 11-19 - 2012
- [c8]Sander Wubben, Antal van den Bosch, Emiel Krahmer:
Sentence Simplification by Monolingual Machine Translation. ACL (1) 2012: 1015-1024 - 2011
- [c7]Sander Wubben, Erwin Marsi, Antal van den Bosch, Emiel Krahmer:
Comparing Phrase-based and Syntax-based Paraphrase Generation. Monolingual@ACL 2011: 27-33 - [c6]Mariët Theune, Ruud Koolen, Emiel Krahmer, Sander Wubben:
Does Size Matter - How Much Data is Required to Train a REG Algorithm? ACL (2) 2011: 660-664 - 2010
- [c5]Sander Wubben, Antal van den Bosch, Emiel Krahmer:
Paraphrase Generation as Monolingual Translation: Data and Evaluation. INLG 2010 - [c4]Sander Wubben:
UvT: Memory-Based Pairwise Ranking of Paraphrasing Verbs. SemEval@ACL 2010: 260-263
2000 – 2009
- 2009
- [c3]Sander Wubben, Antal van den Bosch, Emiel Krahmer, Erwin Marsi:
Clustering and Matching Headlines for Automatic Paraphrase Acquisition. ENLG 2009: 122-125 - [c2]Sander Wubben, Antal van den Bosch:
A semantic relatedness metric based on free link structure (short paper). IWCS 2009: 355-358 - [c1]Marieke van Erp, Antal van den Bosch, Sander Wubben, Steve Hunt:
Instance-Driven Discovery of Ontological Relation Labels. LaTeCH - SHELT&R@EACL 2009: 60-68 - [e1]Harry Bunt, Volha Petukhova, Sander Wubben:
Proceedings of the Eight International Conference on Computational Semantics, IWCS 2009, Tilburg, The Netherlands, January 7-9, 2009. Association for Computational Linguistics 2009, ISBN 978-90-74029-34-6 [contents]
Coauthor Index
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