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2020 – today
- 2023
[c31]Gabriele Sarti
, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde:
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. ACL (2) 2023: 1476-1490- [c30]Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu:
Pseudo-label Training and Model Inertia in Neural Machine Translation. ICLR 2023 - [i18]Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu:
Pseudo-Label Training and Model Inertia in Neural Machine Translation. CoRR abs/2305.11808 (2023) - [i17]Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde:
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. CoRR abs/2305.17131 (2023) - 2022
- [c29]Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. EMNLP 2022: 4287-4299 - [c28]Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe:
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [c27]Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu:
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. NAACL-HLT (Findings) 2022: 616-632 - [i16]Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu:
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. CoRR abs/2205.04022 (2022) - [i15]Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico, Georgiana Dinu:
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation. CoRR abs/2210.10906 (2022) - [i14]Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. CoRR abs/2211.01355 (2022) - 2021
- [c26]Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu:
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. EMNLP (1) 2021: 1640-1654 - [c25]Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweon Woo Jung, Philipp Koehn, Vassilina Nikoulina:
Findings of the WMT Shared Task on Machine Translation Using Terminologies. WMT@EMNLP 2021: 652-663 - [i13]Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu:
Improving Gender Translation Accuracy with Filtered Self-Training. CoRR abs/2104.07695 (2021) - [i12]Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey:
Faithful Target Attribute Prediction in Neural Machine Translation. CoRR abs/2109.12105 (2021) - 2020
- [c24]Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan:
Evaluating Robustness to Input Perturbations for Neural Machine Translation. ACL 2020: 8538-8544 - [c23]Anna Currey, Prashant Mathur, Georgiana Dinu:
Distilling Multiple Domains for Neural Machine Translation. EMNLP (1) 2020: 4500-4511 - [c22]Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan:
Joint Translation and Unit Conversion for End-to-end Localization. IWSLT 2020: 265-271 - [c21]Greg Hanneman, Georgiana Dinu:
How Should Markup Tags Be Translated? WMT@EMNLP 2020: 1160-1173 - [i11]Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan:
Joint translation and unit conversion for end-to-end localization. CoRR abs/2004.05219 (2020) - [i10]Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan:
Evaluating Robustness to Input Perturbations for Neural Machine Translation. CoRR abs/2005.00580 (2020)
2010 – 2019
- 2019
- [c20]Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan:
Training Neural Machine Translation to Apply Terminology Constraints. ACL (1) 2019: 3063-3068 - [i9]Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan:
Training Neural Machine Translation To Apply Terminology Constraints. CoRR abs/1906.01105 (2019) - 2017
- [c19]Jian Ni, Georgiana Dinu, Radu Florian:
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. ACL (1) 2017: 1470-1480 - [i8]Avirup Sil, Georgiana Dinu, Gourab Kundu, Radu Florian:
The IBM Systems for Entity Discovery and Linking at TAC 2017. TAC 2017 - [i7]Georgiana Dinu, Wael Hamza, Radu Florian:
Reinforcement Learning for Transition-Based Mention Detection. CoRR abs/1703.04489 (2017) - [i6]Jian Ni, Georgiana Dinu, Radu Florian:
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. CoRR abs/1707.02483 (2017) - 2016
- [i5]Avirup Sil, Georgiana Dinu, Radu Florian:
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2016. TAC 2016 - [i4]Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, Radu Florian:
Toward Mention Detection Robustness with Recurrent Neural Networks. CoRR abs/1602.07749 (2016) - 2015
- [j1]Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni:
From Visual Attributes to Adjectives through Decompositional Distributional Semantics. Trans. Assoc. Comput. Linguistics 3: 183-196 (2015) - [c18]Angeliki Lazaridou, Georgiana Dinu, Marco Baroni:
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. ACL (1) 2015: 270-280 - [c17]Georgiana Dinu, Marco Baroni:
Improving zero-shot learning by mitigating the hubness problem. ICLR (Workshop) 2015 - [i3]Avirup Sil, Georgiana Dinu, Radu Florian:
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015. TAC 2015 - [i2]Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni:
From visual attributes to adjectives through decompositional distributional semantics. CoRR abs/1501.02714 (2015) - 2014
- [c16]Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom:
New Directions in Vector Space Models of Meaning. ACL (Tutorial Abstracts) 2014: 8 - [c15]Marco Baroni, Georgiana Dinu, Germán Kruszewski:
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. ACL (1) 2014: 238-247 - [c14]Georgiana Dinu, Marco Baroni:
How to make words with vectors: Phrase generation in distributional semantics. ACL (1) 2014: 624-633 - [c13]Jiming Li, Marco Baroni, Georgiana Dinu:
Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression. EACL 2014: 434-442 - 2013
- [c12]Georgiana Dinu, Nghia The Pham, Marco Baroni:
DISSECT - DIStributional SEmantics Composition Toolkit. ACL (Conference System Demonstrations) 2013: 31-36 - [c11]Georgiana Dinu, Nghia The Pham, Marco Baroni:
General estimation and evaluation of compositional distributional semantic models. CVSM@ACL 2013: 50-58 - [c10]Raffaella Bernardi, Georgiana Dinu, Marco Marelli, Marco Baroni:
A relatedness benchmark to test the role of determiners in compositional distributional semantics. ACL (2) 2013: 53-57 - [c9]Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang, Mehrnoosh Sadrzadeh, Marco Baroni:
Multi-Step Regression Learning for Compositional Distributional Semantics. IWCS 2013: 131-142 - [i1]Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang, Mehrnoosh Sadrzadeh, Marco Baroni:
Multi-Step Regression Learning for Compositional Distributional Semantics. CoRR abs/1301.6939 (2013) - 2012
- [b1]Georgiana Dinu:
Word meaning in context: a probabilistic model and its application to question answering. Saarland University, 2012 - [c8]Georgiana Dinu, Stefan Thater, Sören Laue:
A comparison of models of word meaning in context. HLT-NAACL 2012: 611-615 - [c7]Georgiana Dinu, Stefan Thater:
Saarland: Vector-based models of semantic textual similarity. SemEval@NAACL-HLT 2012: 603-607 - 2010
- [c6]Georgiana Dinu, Mirella Lapata:
Topic Models for Meaning Similarity in Context. COLING (Posters) 2010: 250-258 - [c5]Georgiana Dinu, Mirella Lapata:
Measuring Distributional Similarity in Context. EMNLP 2010: 1162-1172
2000 – 2009
- 2009
- [c4]Stefan Thater, Georgiana Dinu, Manfred Pinkal:
Ranking Paraphrases in Context. TextInfer@ACL 2009: 44-47 - [c3]Georgiana Dinu, Rui Wang:
Inference Rules and their Application to Recognizing Textual Entailment. EACL 2009: 211-219 - [c2]Georgiana Dinu, Rui Wang:
Inference Rules for Recognizing Textual Entailment. IWCS 2009: 90-103 - 2008
- [c1]Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith:
Learning Morphology with Morfette. LREC 2008
Coauthor Index
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