Georgiana Dinu

54 papers A* 5A 2B 1Journal 17Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. ACL (Findings) Miguel Romero Calvo, Shuoyang Ding, Corey D. Barrett, Georgiana Dinu, George Karypis
2025	J	`jnl`	Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. CoRR Miguel Romero, Shuoyang Ding, Corey D. Barret, Georgiana Dinu, George Karypis
2025	A*	`conf`	Effective post-training embedding compression via temperature control in contrastive training. ICLR Georgiana Dinu, Corey D. Barrett, Yi Xiang, Miguel Romero Calvo, Anna Currey, Xing Niu
2023	J	`jnl`	Pseudo-Label Training and Model Inertia in Neural Machine Translation. CoRR Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu
2023	A*	`conf`	Pseudo-label Training and Model Inertia in Neural Machine Translation. ICLR Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu
2023	—	`conf`	RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. ACL (2) Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde
2023	J	`jnl`	RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. CoRR Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde
2022	J	`jnl`	A baseline revisited: Pushing the limits of multi-segment models for context-aware translation. CoRR Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico, Georgiana Dinu
2022	—	`conf`	CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. NAACL-HLT (Findings) Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu
2022	J	`jnl`	CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. CoRR Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu
2022	—	`conf`	Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 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
2022	A*	`conf`	MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. EMNLP Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu
2022	J	`jnl`	MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. CoRR Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu
2021	J	`jnl`	Faithful Target Attribute Prediction in Neural Machine Translation. CoRR Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey
2021	—	`conf`	Findings of the WMT Shared Task on Machine Translation Using Terminologies. WMT@EMNLP Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweon Woo Jung, Philipp Koehn, Vassilina Nikoulina
2021	—	`conf`	GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. EMNLP (1) Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu
2021	J	`jnl`	Improving Gender Translation Accuracy with Filtered Self-Training. CoRR Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu
2020	—	`conf`	Distilling Multiple Domains for Neural Machine Translation. EMNLP (1) Anna Currey, Prashant Mathur, Georgiana Dinu
2020	A*	`conf`	Evaluating Robustness to Input Perturbations for Neural Machine Translation. ACL Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan
2020	J	`jnl`	Evaluating Robustness to Input Perturbations for Neural Machine Translation. CoRR Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan
2020	—	`conf`	How Should Markup Tags Be Translated? WMT@EMNLP Greg Hanneman, Georgiana Dinu
2020	—	`conf`	Joint Translation and Unit Conversion for End-to-end Localization. IWSLT Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
2020	J	`jnl`	Joint translation and unit conversion for end-to-end localization. CoRR Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
2019	J	`jnl`	Training Neural Machine Translation To Apply Terminology Constraints. CoRR Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan
2019	—	`conf`	Training Neural Machine Translation to Apply Terminology Constraints. ACL (1) Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan
2017	J	`jnl`	Reinforcement Learning for Transition-Based Mention Detection. CoRR Georgiana Dinu, Wael Hamza, Radu Florian
2017	—	`conf`	The IBM Systems for Entity Discovery and Linking at TAC 2017. TAC Avirup Sil, Georgiana Dinu, Gourab Kundu, Radu Florian
2017	—	`conf`	Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. ACL (1) Jian Ni, Georgiana Dinu, Radu Florian
2017	J	`jnl`	Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. CoRR Jian Ni, Georgiana Dinu, Radu Florian
2016	—	`conf`	The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2016. TAC Avirup Sil, Georgiana Dinu, Radu Florian
2016	J	`jnl`	Toward Mention Detection Robustness with Recurrent Neural Networks. CoRR Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, Radu Florian
2015	J	`jnl`	From Visual Attributes to Adjectives through Decompositional Distributional Semantics. Trans. Assoc. Comput. Linguistics Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni
2015	J	`jnl`	From visual attributes to adjectives through decompositional distributional semantics. CoRR Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni
2015	—	`conf`	Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. ACL (1) Angeliki Lazaridou, Georgiana Dinu, Marco Baroni
2015	—	`conf`	Improving zero-shot learning by mitigating the hubness problem. ICLR (Workshop) Georgiana Dinu, Marco Baroni
2015	—	`conf`	The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015. TAC Avirup Sil, Georgiana Dinu, Radu Florian
2014	—	`conf`	Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. ACL (1) Marco Baroni, Georgiana Dinu, Germán Kruszewski
2014	—	`conf`	How to make words with vectors: Phrase generation in distributional semantics. ACL (1) Georgiana Dinu, Marco Baroni
2014	A	`conf`	Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression. EACL Jiming Li, Marco Baroni, Georgiana Dinu
2014	—	`conf`	New Directions in Vector Space Models of Meaning. ACL (Tutorial Abstracts) Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom
2013	—	`conf`	A relatedness benchmark to test the role of determiners in compositional distributional semantics. ACL (2) Raffaella Bernardi, Georgiana Dinu, Marco Marelli, Marco Baroni
2013	—	`conf`	DISSECT - DIStributional SEmantics Composition Toolkit. ACL (Conference System Demonstrations) Georgiana Dinu, Nghia The Pham, Marco Baroni
2013	—	`conf`	General estimation and evaluation of compositional distributional semantic models. CVSM@ACL Georgiana Dinu, Nghia The Pham, Marco Baroni
2013	J	`jnl`	Multi-Step Regression Learning for Compositional Distributional Semantics CoRR Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang, Mehrnoosh Sadrzadeh, Marco Baroni
2013	—	`conf`	Multi-Step Regression Learning for Compositional Distributional Semantics. IWCS Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang, Mehrnoosh Sadrzadeh, Marco Baroni
2012	—	`conf`	A comparison of models of word meaning in context. HLT-NAACL Georgiana Dinu, Stefan Thater, Sören Laue
2012	—	`conf`	Saarland: Vector-based models of semantic textual similarity. SemEval@NAACL-HLT Georgiana Dinu, Stefan Thater
2012	—	`—`	Word meaning in context: a probabilistic model and its application to question answering. Georgiana Dinu
2010	A*	`conf`	Measuring Distributional Similarity in Context. EMNLP Georgiana Dinu, Mirella Lapata
2010	—	`conf`	Topic Models for Meaning Similarity in Context. COLING (Posters) Georgiana Dinu, Mirella Lapata
2009	A	`conf`	Inference Rules and their Application to Recognizing Textual Entailment. EACL Georgiana Dinu, Rui Wang
2009	—	`conf`	Inference Rules for Recognizing Textual Entailment. IWCS Georgiana Dinu, Rui Wang
2009	—	`conf`	Ranking Paraphrases in Context. TextInfer@ACL Stefan Thater, Georgiana Dinu, Manfred Pinkal
2008	B	`conf`	Learning Morphology with Morfette. LREC Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith