Georgiana Dinu

According to our database, Georgiana Dinu authored at least 41 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Pseudo-label Training and Model Inertia in Neural Machine Translation.

Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation.

Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

A baseline revisited: Pushing the limits of multi-segment models for context-aware translation.

Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico, Georgiana Dinu

CoRR, 2022

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality.

Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Findings of the IWSLT 2022 Evaluation Campaign.

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

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation.

Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Faithful Target Attribute Prediction in Neural Machine Translation.

Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey

CoRR, 2021

Improving Gender Translation Accuracy with Filtered Self-Training.

Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu

CoRR, 2021

Findings of the WMT Shared Task on Machine Translation Using Terminologies.

Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweon Woo Jung, Philipp Koehn, Vassilina Nikoulina

Proceedings of the Sixth Conference on Machine Translation, 2021

GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation.

Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

How Should Markup Tags Be Translated?

Greg Hanneman, Georgiana Dinu

Proceedings of the Fifth Conference on Machine Translation, 2020

Joint Translation and Unit Conversion for End-to-end Localization.

Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan

Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Distilling Multiple Domains for Neural Machine Translation.

Anna Currey, Prashant Mathur, Georgiana Dinu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating Robustness to Input Perturbations for Neural Machine Translation.

Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Training Neural Machine Translation to Apply Terminology Constraints.

Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Reinforcement Learning for Transition-Based Mention Detection.

Georgiana Dinu, Wael Hamza, Radu Florian

CoRR, 2017

The IBM Systems for Entity Discovery and Linking at TAC 2017.

Avirup Sil, Georgiana Dinu, Gourab Kundu, Radu Florian

Proceedings of the 2017 Text Analysis Conference, 2017

Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection.

Jian Ni, Georgiana Dinu, Radu Florian

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Toward Mention Detection Robustness with Recurrent Neural Networks.

Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, Radu Florian

CoRR, 2016

The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2016.

Avirup Sil, Georgiana Dinu, Radu Florian

Proceedings of the 2016 Text Analysis Conference, 2016

2015

From Visual Attributes to Adjectives through Decompositional Distributional Semantics.

Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni

Trans. Assoc. Comput. Linguistics, 2015

Improving zero-shot learning by mitigating the hubness problem.

Georgiana Dinu, Marco Baroni

Proceedings of the 3rd International Conference on Learning Representations, 2015

The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015.

Avirup Sil, Georgiana Dinu, Radu Florian

Proceedings of the 2015 Text Analysis Conference, 2015

Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning.

Angeliki Lazaridou, Georgiana Dinu, Marco Baroni

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression.

Jiming Li, Marco Baroni, Georgiana Dinu

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

New Directions in Vector Space Models of Meaning.

Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

How to make words with vectors: Phrase generation in distributional semantics.

Georgiana Dinu, Marco Baroni

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors.

Marco Baroni, Georgiana Dinu, Germán Kruszewski

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Multi-Step Regression Learning for Compositional Distributional Semantics.

Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang, Mehrnoosh Sadrzadeh, Marco Baroni

Proceedings of the 10th International Conference on Computational Semantics, 2013

General estimation and evaluation of compositional distributional semantic models.

Georgiana Dinu, Nghia The Pham, Marco Baroni

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

DISSECT - DIStributional SEmantics Composition Toolkit.

Georgiana Dinu, Nghia The Pham, Marco Baroni

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A relatedness benchmark to test the role of determiners in compositional distributional semantics.

Raffaella Bernardi, Georgiana Dinu, Marco Marelli, Marco Baroni

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Word meaning in context: a probabilistic model and its application to question answering.

Georgiana Dinu

PhD thesis, 2012

Saarland: Vector-based models of semantic textual similarity.

Georgiana Dinu, Stefan Thater

Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

A comparison of models of word meaning in context.

Georgiana Dinu, Stefan Thater, Sören Laue

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2010

Measuring Distributional Similarity in Context.

Georgiana Dinu, Mirella Lapata

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Topic Models for Meaning Similarity in Context.

Georgiana Dinu, Mirella Lapata

Proceedings of the COLING 2010, 2010

2009

Inference Rules for Recognizing Textual Entailment.

Georgiana Dinu, Rui Wang

Proceedings of the Eight International Conference on Computational Semantics, 2009

Inference Rules and their Application to Recognizing Textual Entailment.

Georgiana Dinu, Rui Wang

Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Ranking Paraphrases in Context.

Stefan Thater, Georgiana Dinu, Manfred Pinkal

Proceedings of the 2009 Workshop on Applied Textual Inference, 2009

2008

Learning Morphology with Morfette.

Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith

Proceedings of the International Conference on Language Resources and Evaluation, 2008