Ivan Vulić

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Anna KorhonenProfessor, Computer Science and Linguistics, University of CambridgeVerified email at cam.ac.uk
Goran GlavašProfessor of Computer Science (Chair for Natural Language Processing), University of WürzburgVerified email at uni-wuerzburg.de
Marie-Francine MoensProfessor of Computer Science KU LeuvenVerified email at cs.kuleuven.be
Sebastian RuderResearch Scientist, GoogleVerified email at google.com
Edoardo M. PontiUniversity of Edinburgh / University of CambridgeVerified email at ed.ac.uk
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Nikola MrkšićPolyAI, University of CambridgeVerified email at poly-ai.com
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenVerified email at di.ku.dk
Jonas PfeifferResearch Scientist, Google DeepMindVerified email at google.com
Daniela GerzPolyAI; PhD student, Language Technology Lab, University of CambridgeVerified email at poly-ai.com
Tsung-Hsien WenPolyAI, University of CambridgeVerified email at poly-ai.com
Matthew HendersonReka AIVerified email at reka.ai
Pei-Hao SuPolyAI, University of CambridgeVerified email at cam.ac.uk
Paweł BudzianowskiPolyAI, Cambridge UniversityVerified email at poly-ai.com
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, Abu DhabiVerified email at cs.tu-darmstadt.de
Iñigo CasanuevaPolyAI, University of cambridgeVerified email at cam.ac.uk
Olga MajewskaUniversity of CambridgeVerified email at cam.ac.uk
Robert LitschkoPostdoc, LMU MunichVerified email at lmu.de
Anne LauscherProfessor of Data Science at the University of HamburgVerified email at uni-hamburg.de
Fangyu LiuResearch Scientist, Google DeepMindVerified email at google.com

Ivan Vulić

Other namesIvan Vulic

Principal Research Associate, University of Cambridge & PolyAI

Verified email at cam.ac.uk - Homepage

Natural Language Processing Machine Learning Computational Linguistics Information Retrieval


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A survey of cross-lingual word embedding models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	690	2019
AdapterHub: A Framework for Adapting Transformers J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych EMNLP 2020 (System Demonstrations), 46-54, 2020	407	2020
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer J Pfeiffer, I Vulić, I Gurevych, S Ruder EMNLP 2020, 7654–7673, 2020	390	2020
Monolingual and cross-lingual information retrieval models based on (bilingual) word embeddings I Vulić, MF Moens SIGIR 2015, 363-372, 2015	348	2015
Hello, It's GPT-2--How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems P Budzianowski, I Vulić Proceedings of the 3rd Workshop on Neural Generation and Translation (WNGT …, 2019	329	2019
SimVerb-3500: A large-scale evaluation set of verb similarity D Gerz, I Vulić, F Hill, R Reichart, A Korhonen EMNLP 2016, 2173-2182, 2016	290	2016
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers A Lauscher, V Ravishankar, I Vulić, G Glavaš EMNLP 2020, 4483-4499, 2020	272*	2020
On the limitations of unsupervised bilingual dictionary induction A Søgaard, S Ruder, I Vulić ACL 2018, 778-788, 2018	272	2018
Efficient Intent Detection with Dual Sentence Encoders I Casanueva, T Temčinas, D Gerz, M Henderson, I Vulić Proceedings of the 2nd Workshop on NLP for Conversational AI, 38-45, 2020	271	2020
Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints N Mrkšić, I Vulić, DÓ Séaghdha, I Leviant, R Reichart, M Gašić, ... Transactions of the Association for Computational Linguistics 5, 309-324, 2017	249	2017
ConveRT: Efficient and accurate conversational representations from transformers M Henderson, I Casanueva, N Mrkšić, PH Su, I Vulić EMNLP 2020 (Findings), 2161-2174, 2020	189	2020
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions G Glavaš, R Litschko, S Ruder, I Vulić ACL 2019, 710-721, 2019	184	2019
Probing Pretrained Language Models for Lexical Semantics I Vulić, EM Ponti, R Litschko, G Glavaš, A Korhonen EMNLP 2020, 7222-7240, 2020	178	2020
Bilingual word embeddings from non-parallel document-aligned data applied to bilingual lexicon induction I Vulić, MF Moens ACL 2015, 719-725, 2015	174	2015
JW300: A wide-coverage parallel corpus for low-resource languages Ž Agić, I Vulić ACL 2019, 3204-3210, 2019	164	2019
How good is your tokenizer? On the monolingual performance of multilingual language models P Rust, J Pfeiffer, I Vulić, S Ruder, I Gurevych ACL 2021, 3118–3135, 2021	145	2021
Skip n-grams and ranking functions for predicting script events B Jans, S Bethard, I Vulić, MF Moens EACL 2012, 336-344, 2012	141	2012
Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications I Vulić, W De Smet, J Tang, MF Moens Information Processing & Management 51 (1), 111-147, 2015	135	2015
Modeling language variation and universals: A survey on typological linguistics for natural language processing EM Ponti, H O’horan, Y Berzak, I Vulić, R Reichart, T Poibeau, E Shutova, ... Computational Linguistics 45 (3), 559-601, 2019	128	2019
Specialising word vectors for lexical entailment I Vulić, N Mrkšić NAACL-HLT 2018, 1134-1145, 2018	124	2018

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