Learning Morphology with Morfette. - Grzegorz Chrupala; Georgiana Dinu; Josef van Genabith (LREC, 2008)

Ranking Paraphrases in Context. - Stefan Thater; Georgiana Dinu; Manfred Pinkal (TextInfer@ACL, 2009)

Inference Rules and their Application to Recognizing Textual Entailment. - Georgiana Dinu; Rui Wang 005 (EACL, 2009)

Inference Rules for Recognizing Textual Entailment. - Georgiana Dinu; Rui Wang 005 (IWCS, 2009)

Topic Models for Meaning Similarity in Context. - Georgiana Dinu; Mirella Lapata (COLING (Posters), 2010)

Measuring Distributional Similarity in Context. - Georgiana Dinu; Mirella Lapata (EMNLP, 2010)

A comparison of models of word meaning in context. - Georgiana Dinu; Stefan Thater; Sören Laue (HLT-NAACL, 2012)

Saarland: Vector-based models of semantic textual similarity. - Georgiana Dinu; Stefan Thater (SemEval@NAACL-HLT, 2012)

Word meaning in context: a probabilistic model and its application to question answering. - Georgiana Dinu (2012)

A relatedness benchmark to test the role of determiners in compositional distributional semantics. - Raffaella Bernardi; Georgiana Dinu; Marco Marelli; Marco Baroni (ACL (2), 2013)

DISSECT - DIStributional SEmantics Composition Toolkit. - Georgiana Dinu; Nghia The Pham; Marco Baroni (ACL (Conference System Demonstrations), 2013)

General estimation and evaluation of compositional distributional semantic models. - Georgiana Dinu; Nghia The Pham; Marco Baroni (CVSM@ACL, 2013)

Multi-Step Regression Learning for Compositional Distributional Semantics. - Edward Grefenstette; Georgiana Dinu; Yao-Zhong Zhang; Mehrnoosh Sadrzadeh; Marco Baroni (IWCS, 2013)

Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. - Marco Baroni; Georgiana Dinu; Germán Kruszewski (ACL (1), 2014)

How to make words with vectors: Phrase generation in distributional semantics. - Georgiana Dinu; Marco Baroni (ACL (1), 2014)

New Directions in Vector Space Models of Meaning. - Edward Grefenstette; Karl Moritz Hermann; Georgiana Dinu; Phil Blunsom (ACL (Tutorial Abstracts), 2014)

Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression. - Jiming Li; Marco Baroni; Georgiana Dinu (EACL, 2014)

Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. - Angeliki Lazaridou; Georgiana Dinu; Marco Baroni (ACL (1), 2015)

The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015. - Avirup Sil; Georgiana Dinu; Radu Florian (TAC, 2015)

Improving zero-shot learning by mitigating the hubness problem. - Georgiana Dinu; Marco Baroni (ICLR (Workshop), 2015)

From Visual Attributes to Adjectives through Decompositional Distributional Semantics. - Angeliki Lazaridou; Georgiana Dinu; Adam Liska; Marco Baroni (Trans. Assoc. Comput. Linguistics, 2015)

The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2016. - Avirup Sil; Georgiana Dinu; Radu Florian (TAC, 2016)

Toward Mention Detection Robustness with Recurrent Neural Networks. - Thien Huu Nguyen; Avirup Sil; Georgiana Dinu; Radu Florian (CoRR, 2016)

Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. - Jian Ni; Georgiana Dinu; Radu Florian (ACL (1), 2017)

The IBM Systems for Entity Discovery and Linking at TAC 2017. - Avirup Sil; Georgiana Dinu; Gourab Kundu; Radu Florian (TAC, 2017)

Reinforcement Learning for Transition-Based Mention Detection. - Georgiana Dinu; Wael Hamza; Radu Florian (CoRR, 2017)

Training Neural Machine Translation to Apply Terminology Constraints. - Georgiana Dinu; Prashant Mathur; Marcello Federico; Yaser Al-Onaizan (ACL (1), 2019)

Evaluating Robustness to Input Perturbations for Neural Machine Translation. - Xing Niu 001; Prashant Mathur; Georgiana Dinu; Yaser Al-Onaizan (ACL, 2020)

Distilling Multiple Domains for Neural Machine Translation. - Anna Currey; Prashant Mathur; Georgiana Dinu (EMNLP (1), 2020)

Joint Translation and Unit Conversion for End-to-end Localization. - Georgiana Dinu; Prashant Mathur; Marcello Federico; Stanislas Lauly; Yaser Al-Onaizan (IWSLT, 2020)

How Should Markup Tags Be Translated? - Greg Hanneman; Georgiana Dinu (WMT@EMNLP, 2020)

GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. - Prafulla Kumar Choubey; Anna Currey; Prashant Mathur; Georgiana Dinu (EMNLP (1), 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 (WMT@EMNLP, 2021)

Improving Gender Translation Accuracy with Filtered Self-Training. - Prafulla Kumar Choubey; Anna Currey; Prashant Mathur; Georgiana Dinu (CoRR, 2021)

Faithful Target Attribute Prediction in Neural Machine Translation. - Xing Niu 001; Georgiana Dinu; Prashant Mathur; Anna Currey (CoRR, 2021)

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 001; Benjamin Hsu; Georgiana Dinu (EMNLP, 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; et al. (IWSLT@ACL, 2022)

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. - Maria Nadejde; Anna Currey; Benjamin Hsu; Xing Niu 001; Marcello Federico; Georgiana Dinu (NAACL-HLT (Findings), 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)

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. - Gabriele Sarti; Phu Mon Htut; Xing Niu 001; Benjamin Hsu; Anna Currey; Georgiana Dinu; Maria Nadejde (ACL (2), 2023)

Pseudo-label Training and Model Inertia in Neural Machine Translation. - Benjamin Hsu; Anna Currey; Xing Niu 001; Maria Nadejde; Georgiana Dinu (ICLR, 2023)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero Calvo; Shuoyang Ding; Corey D. Barrett; Georgiana Dinu; George Karypis (ACL (Findings), 2025)

Effective post-training embedding compression via temperature control in contrastive training. - Georgiana Dinu; Corey D. Barrett; Yi Xiang; Miguel Romero Calvo; Anna Currey; Xing Niu 001 (ICLR, 2025)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero 007; Shuoyang Ding; Corey D. Barret; Georgiana Dinu; George Karypis (CoRR, 2025)