Georgiana Dinu

发表

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

Georgiana Dinu, Marco Baroni, Germán Kruszewski, 2014, ACL.

Multi-Step Regression Learning for Compositional Distributional Semantics pdf

Mehrnoosh Sadrzadeh, Georgiana Dinu, Edward Grefenstette, 2013, IWCS.

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

Avirup Sil, Georgiana Dinu, Radu Florian, 2015, TAC.

Inference Rules for Recognizing Textual Entailment Georgiana Dinu

Georgiana Dinu, Rui Wang, 2008 .

Picking buttercups and eating butter cups: Spelling alternations, semantic relatedness, and their consequences for compound processing

M. Marelli, Marco Baroni, Roberto Zamparelli, 2014, Applied Psycholinguistics.

Phrase generation in distributional semantics

Marco Baroni, Georgiana Dinu, 2014 .

C L ] 2 4 F eb 2 01 6 Toward Mention Detection Robustness with Recurrent Neural Networks

Georgiana Dinu, T. Nguyen, Radu Florian, 2018 .

Sometimes Less Is More : Romanian Word Sense Disambiguation Revisited

Georgiana Dinu, Georgiana Dinu, 2007 .

Findings of the IWSLT 2022 Evaluation Campaign

Surafel Melaku Lakew, A. Waibel, Ondrej Bojar, 2022, IWSLT.

Edinburgh Measuring Distributional Similarity in Context

Mirella Lapata, Georgiana Dinu, 2010 .

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

Yaser Al-Onaizan, Marcello Federico, Georgiana Dinu, 2020, IWSLT.

DISSECT - DIStributional SEmantics Composition Toolkit

Georgiana Dinu, Marco Baroni, Nghia The Pham, 2013, ACL.

Better training for function labeling

Josef van Genabith, Georgiana Dinu, Grzegorz Chrupala, 2007 .

Learning Morphology with Morfette

Josef van Genabith, Georgiana Dinu, Grzegorz Chrupala, 2008, LREC.

Training Neural Machine Translation to Apply Terminology Constraints pdf

Yaser Al-Onaizan, Marcello Federico, Georgiana Dinu, 2019, ACL.

Distilling Multiple Domains for Neural Machine Translation

Georgiana Dinu, Anna Currey, Prashant Mathur, 2020, EMNLP.

Evaluating Robustness to Input Perturbations for Neural Machine Translation pdf

Yaser Al-Onaizan, Georgiana Dinu, Xing Niu, 2020, ACL.

How Should Markup Tags Be Translated?

Georgiana Dinu, Greg Hanneman, Georgiana Dinu, 2020, WMT.

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

Marcello Federico, Georgiana Dinu, Maria Nadejde, 2022, ArXiv.

Improving Gender Translation Accuracy with Filtered Self-Training pdf

Georgiana Dinu, Prafulla Kumar Choubey, Anna Currey, 2021, ArXiv.

Pseudo-Label Training and Model Inertia in Neural Machine Translation

Georgiana Dinu, Xing Niu, Anna Currey, 2023, ICLR.

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

Marcello Federico, Georgiana Dinu, Maria Nadejde, 2022, NAACL-HLT.

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

Jian Ni, Georgiana Dinu, Radu Florian, 2017, ACL.

Improving zero-shot learning by mitigating the hubness problem pdf

Georgiana Dinu, Marco Baroni, Marco Baroni, 2014, ICLR.

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

Georgiana Dinu, Angeliki Lazaridou, Marco Baroni, 2015, ACL.

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

Phu Mon Htut, Georgiana Dinu, Maria Nadejde, 2023, ACL.

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

Georgiana Dinu, Maria Nadejde, Stanislas Lauly, 2022, EMNLP.

Findings of the WMT Shared Task on Machine Translation Using Terminologies

Philipp Koehn, Marcello Federico, Georgiana Dinu, 2021, WMT.

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

Georgiana Dinu, Georgiana Dinu, 2011 .

Inference Rules and their Application to Recognizing Textual Entailment

Georgiana Dinu, Rui Wang, Georgiana Dinu, 2009, EACL.

Inference Rules for Recognizing Textual Entailment

Georgiana Dinu, Rui Wang, Georgiana Dinu, 2009, IWCS.

Measuring Distributional Similarity in Context

Mirella Lapata, Georgiana Dinu, Mirella Lapata, 2010, EMNLP.

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

Georgiana Dinu, Anna Currey, Prashant Mathur, 2021, EMNLP.

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

Georgiana Dinu, Marco Baroni, Jiming Li, 2014, EACL.

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

Georgiana Dinu, Maria Nadejde, Stanislas Lauly, 2022, EMNLP.

Georgiana Dinu, Grzegorz Chrupała, Georgiana Dinu, 2010 .