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2020 – today
- 2024
[i16]Paul Engelmann, Peter Brunsgaard Trolle, Christian Hardmeier
:
A Dataset for the Detection of Dehumanizing Language. CoRR abs/2402.08764 (2024)- [i15]Daniel Varab, Christian Hardmeier:
With Good MT There is No Need For End-to-End: A Case for Translate-then-Summarize Cross-lingual Summarization. CoRR abs/2409.00414 (2024) - 2023
- [j6]Dennis Ulmer, Christian Hardmeier, Jes Frellsen:
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation. Trans. Mach. Learn. Res. 2023 (2023) - [c47]Gongbo Tang, Christian Hardmeier:
Parallel Data Helps Neural Entity Coreference Resolution. ACL (Findings) 2023: 3162-3171 - [c46]Gongbo Tang, Christian Hardmeier:
Mention Attention for Pronoun Translation. JCRAI 2023: 161-164 - [i14]Gongbo Tang, Christian Hardmeier:
Parallel Data Helps Neural Entity Coreference Resolution. CoRR abs/2305.17709 (2023) - 2022
- [c45]Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank:
Experimental Standards for Deep Learning in Natural Language Processing Research. EMNLP (Findings) 2022: 2673-2692 - [c44]Dennis Ulmer, Jes Frellsen, Christian Hardmeier:
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity. EMNLP (Findings) 2022: 2707-2735 - [c43]Ekaterina Lapshinova-Koltunski, Pedro Augusto Ferreira, Elina Lartaud, Christian Hardmeier:
ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference. LREC 2022: 805-813 - [c42]Adem Ajvazi, Christian Hardmeier:
A Dataset of Offensive Language in Kosovo Social Media. LREC 2022: 1860-1869 - [i13]Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Christian Hardmeier, Barbara Plank:
Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. CoRR abs/2204.06251 (2022) - [i12]Dennis Ulmer, Christian Hardmeier, Jes Frellsen:
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks. CoRR abs/2204.06815 (2022) - [i11]Dennis Ulmer, Jes Frellsen, Christian Hardmeier:
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity. CoRR abs/2210.15452 (2022) - 2021
- [j5]Luca Bevacqua, Sharid Loáiciga, Hannah Rohde, Christian Hardmeier:
Event and Entity Coreference Across Five Languages: Effects of Context and Referring Expression. Dialogue Discourse 12(2): 192-226 (2021) - [c41]Chaojun Wang, Christian Hardmeier, Rico Sennrich:
Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation. NoDaLiDa 2021: 326-335 - [i10]Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett:
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP. CoRR abs/2104.03026 (2021) - [i9]Sharid Loáiciga, Luca Bevacqua, Christian Hardmeier:
Unsupervised Discovery of Unaccusative and Unergative Verbs. CoRR abs/2111.00808 (2021) - 2020
- [c40]Sharid Loáiciga, Christian Hardmeier, Asad B. Sayeed:
Exploiting Cross-Lingual Hints to Discover Event Pronouns. LREC 2020: 99-103 - [c39]Nikita Moghe, Christian Hardmeier, Rachel Bawden:
The University of Edinburgh-Uppsala University's Submission to the WMT 2020 Chat Translation Task. WMT@EMNLP 2020: 473-478 - [i8]Ali Basirat, Christian Hardmeier, Joakim Nivre:
Principal Word Vectors. CoRR abs/2007.04629 (2020)
2010 – 2019
- 2019
- [e2]Andrei Popescu-Belis, Sharid Loáiciga, Christian Hardmeier, Deyi Xiong:
Proceedings of the Fourth Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2019, Hong Kong, China, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-74-1 [contents] - [i7]Eva Vanmassenhove, Christian Hardmeier, Andy Way:
Getting Gender Right in Neural Machine Translation. CoRR abs/1909.05088 (2019) - [i6]Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. CoRR abs/1911.12091 (2019) - 2018
- [j4]Yan Shao, Christian Hardmeier, Joakim Nivre:
Universal Word Segmentation: Implementation and Interpretation. Trans. Assoc. Comput. Linguistics 6: 421-435 (2018) - [c38]Christian Hardmeier, Luca Bevacqua, Sharid Loáiciga, Hannah Rohde:
Forms of Anaphoric Reference to Organisational Named Entities: Hoping to widen appeal, they diversified. NEWS@ACL 2018: 36-40 - [c37]Eva Vanmassenhove, Christian Hardmeier:
Europarl Datasets with Demographic Speaker Information. EAMT 2018 - [c36]Eva Vanmassenhove, Christian Hardmeier, Andy Way:
Getting Gender Right in Neural MT. EMNLP 2018: 3003-3008 - [c35]Liane Guillou, Christian Hardmeier:
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point. EMNLP 2018: 4797-4802 - [c34]Ekaterina Lapshinova-Koltunski, Christian Hardmeier, Pauline Krielke:
ParCorFull: a Parallel Corpus Annotated with Full Coreference. LREC 2018 - [c33]Margita Sostaric, Christian Hardmeier, Sara Stymne:
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation. WMT 2018: 36-48 - [c32]Liane Guillou, Christian Hardmeier, Ekaterina Lapshinova-Koltunski, Sharid Loáiciga:
A Pronoun Test Suite Evaluation of the English-German MT Systems at WMT 2018. WMT (shared task) 2018: 570-577 - [i5]Yan Shao, Christian Hardmeier, Joakim Nivre:
Universal Word Segmentation: Implementation and Interpretation. CoRR abs/1807.02974 (2018) - [i4]Liane Guillou, Christian Hardmeier:
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point. CoRR abs/1808.04164 (2018) - [i3]Christian Hardmeier, Liane Guillou:
Pronoun Translation in English-French Machine Translation: An Analysis of Error Types. CoRR abs/1808.10196 (2018) - 2017
- [c31]Sharid Loáiciga, Sara Stymne, Preslav Nakov, Christian Hardmeier, Jörg Tiedemann, Mauro Cettolo, Yannick Versley:
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction. DiscoMT@EMNLP 2017: 1-16 - [c30]Christian Hardmeier:
Predicting Pronouns with a Convolutional Network and an N-gram Model. DiscoMT@EMNLP 2017: 58-62 - [c29]Ekaterina Lapshinova-Koltunski, Christian Hardmeier:
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation. DiscoMT@EMNLP 2017: 73-81 - [c28]Sharid Loáiciga, Liane Guillou, Christian Hardmeier:
What is it? Disambiguating the different readings of the pronoun 'it'. EMNLP 2017: 1325-1331 - [c27]Yan Shao, Christian Hardmeier, Joakim Nivre:
Recall is the Proper Evaluation Metric for Word Segmentation. IJCNLP(2) 2017: 86-90 - [c26]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. IJCNLP(1) 2017: 173-183 - [i2]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. CoRR abs/1704.01314 (2017) - 2016
- [j3]Christian Hardmeier:
Kaibao Hu: Introducing corpus-based translation studies - Springer, Heidelberg-Berlin, 2016, xviii + 245 pp, ISBN: 978-3-662-48218-6. Mach. Transl. 30(1-2): 117-120 (2016) - [c25]Christian Hardmeier:
A Neural Model for Part-of-Speech Tagging in Historical Texts. COLING 2016: 922-931 - [c24]Aaron Smith, Christian Hardmeier, Jörg Tiedemann:
Climbing Mont BLEU: The Strange World of Reachable High-BLEU Translations. EAMT 2016: 269-281 - [c23]Christian Hardmeier, Liane Guillou:
A Graphical Pronoun Analysis Tool for the PROTEST Pronoun Evaluation Test Suite. EAMT 2016: 318-330 - [c22]Liane Guillou, Christian Hardmeier:
PROTEST: A Test Suite for Evaluating Pronouns in Machine Translation. LREC 2016 - [c21]Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie L. Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. WMT 2016: 525-542 - [c20]Christian Hardmeier:
Pronoun Prediction with Latent Anaphora Resolution. WMT 2016: 576-580 - [c19]Sharid Loáiciga, Liane Guillou, Christian Hardmeier:
It-disambiguation and source-aware language models for cross-lingual pronoun prediction. WMT 2016: 581-588 - 2015
- [j2]Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia:
Learning Structural Kernels for Natural Language Processing. Trans. Assoc. Comput. Linguistics 3: 461-473 (2015) - [c18]Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo:
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation. DiscoMT@EMNLP 2015: 1-16 - [c17]Jimmy Callin, Christian Hardmeier, Jörg Tiedemann:
Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks. DiscoMT@EMNLP 2015: 59-64 - [c16]Christian Hardmeier:
A Document-Level SMT System with Integrated Pronoun Prediction. DiscoMT@EMNLP 2015: 72-77 - [c15]Christian Hardmeier:
On Statistical Machine Translation and Translation Theory. DiscoMT@EMNLP 2015: 168-172 - [e1]Bonnie L. Webber, Marine Carpuat, Andrei Popescu-Belis, Christian Hardmeier:
Proceedings of the Second Workshop on Discourse in Machine Translation, DiscoMT@EMNLP 2015, Lisbon, Portugal, September 17, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-32-7 [contents] - [i1]Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia:
Learning Structural Kernels for Natural Language Processing. CoRR abs/1508.02131 (2015) - 2014
- [c14]Liane Guillou, Christian Hardmeier, Aaron Smith, Jörg Tiedemann, Bonnie L. Webber:
ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT. LREC 2014: 3191-3198 - [c13]Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Aaron Smith, Joakim Nivre:
Anaphora Models and Reordering for Phrase-Based SMT. WMT@ACL 2014: 122-129 - 2013
- [c12]Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Joakim Nivre:
Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation. ACL (Conference System Demonstrations) 2013: 193-198 - [c11]Sara Stymne, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Feature Weight Optimization for Discourse-Level SMT. DiscoMT@ACL 2013: 60-69 - [c10]Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction. EMNLP 2013: 380-391 - [c9]Sara Stymne, Jörg Tiedemann, Christian Hardmeier, Joakim Nivre:
Statistical Machine Translation with Readability Constraints. NODALIDA 2013: 375-386 - [c8]Sara Stymne, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Tunable Distortion Limits and Corpus Cleaning for SMT. WMT@ACL 2013: 225-231 - 2012
- [c7]Christian Hardmeier, Joakim Nivre, Jörg Tiedemann:
Document-Wide Decoding for Phrase-Based Statistical Machine Translation. EMNLP-CoNLL 2012: 1179-1190 - [c6]Christian Hardmeier, Joakim Nivre, Jörg Tiedemann:
Tree Kernels for Machine Translation Quality Estimation. WMT@NAACL-HLT 2012: 109-113 - 2011
- [c5]Christian Hardmeier:
Improving Machine Translation Quality Prediction with Syntactic Tree Kernels. EAMT 2011 - [c4]Christian Hardmeier, Jörg Tiedemann, Markus Saers, Marcello Federico, Prashant Mathur:
The Uppsala-FBK systems at WMT 2011. WMT@EMNLP 2011: 372-378 - 2010
- [j1]Christian Hardmeier:
Fast and Extensible Phrase Scoring for Statistical Machine Translation. Prague Bull. Math. Linguistics 93: 87-96 (2010) - [c3]Christian Hardmeier, Marcello Federico:
Modelling pronominal anaphora in statistical machine translation. IWSLT 2010: 283-289 - [c2]Christian Hardmeier, Arianna Bisazza, Marcello Federico:
FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk-Based Reordering. WMT@ACL 2010: 88-92
2000 – 2009
- 2009
- [c1]Christian Hardmeier, Martin Volk:
Using Linguistic Annotations in Statistical Machine Translation of Film Subtitles. NODALIDA 2009: 57-64
Coauthor Index
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