Lexical Acquisition Across Languages

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking

Autori: Fangyu Liu, Ivan Vulić, Anna Korhonen, Nigel Collier
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021, Pagina/e 565-574
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-short.72

SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment

Autori: Goran Glavaš, Ivan Vulić, Anna Korhonen, and Simone Paolo Ponzetto
Pubblicato in: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020, Pagina/e 24--35
Editore: International Committee for Computational Linguistics

Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces

Autori: Goran Glavaš, Ivan Vulić
Pubblicato in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Pagina/e 7548-7555
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.675

Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis

Autori: Olga Majewska, Ivan Vulić, Diana McCarthy, Anna Korhonen
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics, 2020, Pagina/e 4810-4824
Editore: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.423

Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction

Autori: Olga Majewska, Diana McCarthy, Jasper van den Bosch, Nikolaus Kriegeskorte, Ivan Vulić, and Anna Korhonen
Pubblicato in: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), 2020, Pagina/e 5749-5758
Editore: European Language Resources Association

Verb Knowledge Injection for Multilingual Event Processing

Autori: Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti, Anna Korhonen
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 6952-6969
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.541

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures

Autori: Haim Dubossarsky, Ivan Vulić, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 2377-2390
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.186

Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces

Autori: Ivan Vulić, Anna Korhonen, Goran Glavaš
Pubblicato in: Proceedings of the 5th Workshop on Representation Learning for NLP, 2020, Pagina/e 45-54
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.repl4nlp-1.7

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity

Autori: Lauscher, Anne; Vulić, Ivan; Ponti, Edoardo Maria; Korhonen, Anna; Glavaš, Goran
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics, Numero 30, 2020, Pagina/e 1371--1383
Editore: International Committee on Computational Linguistics

Analogy Training Multilingual encoders

Autori: Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulić, and Anders Søgaard
Pubblicato in: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
Editore: Association for the Advancement of Artificial Intelligence

Multidirectional Associative Optimization of Function-Specific Word Representations

Autori: Daniela Gerz, Ivan Vulić, Marek Rei, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Pagina/e 2872-2882
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.257

SemEval-2020 Task 3: graded Word Similarity in Context

Autori: Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljubešić, Matej Ulčar, Ivan Vulić, and Mohammad Taher Pilehvar
Pubblicato in: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020, Pagina/e 36--49
Editore: International Committee for Computational Linguistics

AdapterHub: A Framework for Adapting Transformers

Autori: Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulić, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020, Pagina/e 46-54
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-demos.7

Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation

Autori: Goran Glavaš and Ivan Vulić
Pubblicato in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Editore: Association for Computational Linguistics

Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection

Autori: Goran Glavaš, Ivan Vulić
Pubblicato in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021, Pagina/e 4878-4888
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.findings-acl.431

Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction

Autori: Mladen Karan, Ivan Vulić, Anna Korhonen, Goran Glavaš
Pubblicato in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Pagina/e 6915-6922
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.618

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

Autori: Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić, Anna Korhonen
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 2362-2376
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.185

From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers

Autori: Lauscher, Anne; Ravishankar, Vinit; Vulić, Ivan; Glavaš, Goran
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Numero 20, 2020, Pagina/e 4483-4499
Editore: Association for Computational Linguistics

Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations

Autori: Geert Heyman, Ivan Vulić, and Marie-Francine Moens
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 2017, Pagina/e 1085-1095
Editore: ACL

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

Autori: Ivan Vulić, Douwe Kiela, and Anna Korhonen
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Numero Volume 1, Long Papers, 2017, Pagina/e 163-175, ISBN 978-1-945626-34-0
Editore: ACL

Cross-Lingual Syntactically Informed Distributed Word Representations

Autori: Ivan Vulić
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 2017, Pagina/e 408-414
Editore: ACL

Decoding Sentiment from Distributed Representations of Sentences

Autori: Edoardo Maria Ponti, Ivan Vulić, Anna Korhonen
Pubblicato in: Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017), 2017, Pagina/e 22-32
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/S17-1003

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules

Autori: Ivan Vulić, Nikola Mrkšić, Roi Reichart, Diarmuid Ó Séaghdha, Steve Young, Anna Korhonen
Pubblicato in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017, Pagina/e 56-68
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/P17-1006

Automatic Selection of Context Configurations for Improved Class-Specific Word Representations

Autori: Ivan Vulić, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017, Pagina/e 112-122
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/K17-1013

Specialising Word Vectors for Lexical Entailment

Autori: Ivan Vulić and Nikola Mrkšić
Pubblicato in: Proceedings of the 16th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), Numero long paper, 2018
Editore: ACL

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources

Autori: Ivan Vulić, Goran Glavaš, Nikola Mrkšić, and Anna Korhonen
Pubblicato in: Proceedings of the 16th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), Numero long paper, 2018
Editore: ACL

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation

Autori: Ivan Vulić, Nikola Mrkšić, and Anna Korhonen
Pubblicato in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), 2017, Pagina/e 2536-2548, ISBN 978-1-945626-35-7
Editore: ACL

Event-Related Features in Feedforward Neural Networks Contribute to Identifying Implicit Causal Relations in Discourse

Autori: Ponti, Edoardo Maria and Anna Korhonen
Pubblicato in: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, 2017, Pagina/e 25-30
Editore: Association for Computer Linguistics

Acquiring Verb Classes through Bottom-Up Semantic Verb Clustering

Autori: Olga Majewska, Diana McCarthy, Ivan Vulić, and Anna Korhonen
Pubblicato in: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018), 2018, Pagina/e pp. 952-958
Editore: European Language Resources Association

Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model

Autori: Goran Glavaš and Ivan Vulić
Pubblicato in: Proceedings of the 16th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), 2018, Pagina/e pp. 181-187
Editore: Association for Computational Linguistics

Specialising Word Vectors for Lexical Entailment

Autori: Vulić, Ivan; Mrkšić, Nikola
Pubblicato in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Numero Volume 1 (Long Papers), 2018, Pagina/e 1134 -1145
Editore: Association for Computational Linguistics

Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only

Autori: Robert Litschko, Goran Glavaš, Simone Paolo Ponzetto, Ivan Vulić
Pubblicato in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Pagina/e 1253-1256, ISBN 9781450356572
Editore: ACM Press
DOI: 10.1145/3209978.3210157

Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation

Autori: Ivan Vulić and Anna Korhonen
Pubblicato in: Proceedings of The Third Workshop on Representation Learning for NLP, 2018, Pagina/e 137-143
Editore: Association for Computational Linguistics

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis

Autori: Guy Rotman, Ivan Vulić, and Roi Reichart
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Numero long paper, 2018, Pagina/e pp. 910-921
Editore: Association for Computational Linguistics

Scoring Lexical Entailment with a Supervised Directional Similarity Network

Autori: Marek Rei, Daniela Gerz, and Ivan Vulić
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Numero (Volume 2: Short Papers), 2018, Pagina/e 638-643
Editore: Association for Computational Linguistics

Fully Statistical Neural Belief Tracking

Autori: Nikola Mrkšić and Ivan Vulić
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Numero short paper, 2018, Pagina/e pp. 108-113
Editore: Association for Computational Linguistics

Explicit Retrofitting of Distributional Word Vectors

Autori: Goran Glavaš and Ivan Vulić
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Numero Volume 1: Long Papers, 2018, Pagina/e pp. 34-45
Editore: Association for Computational Linguistics

On the Limitations of Unsupervised Bilingual Dictionary Induction

Autori: Anders Søgaard, Sebastian Ruder, Ivan Vulić
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Numero (Volume 1: Long Papers), 2018, Pagina/e pp. 778-788
Editore: Association for Computational Linguistics
DOI: 10.17863/cam.32410

Isomorphic Transfer of Syntactic Structures in Cross-Lingual Natural Language Processing

Autori: Edoardo Maria Ponti, Roi Reichart, Anna Korhonen, and Ivan Vulić
Pubblicato in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Numero long paper, 2018, Pagina/e pp. 1531-1542
Editore: Association for Computational Linguistics

"Is ""Universal Syntax"" Universally Useful for Learning Distributed Word Representations? "

Autori: Ivan Vulic and Anna Korhonen
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Numero Volume 2: Short Papers, 2016, Pagina/e 518-524
Editore: The Association for Computer Linguistics

Multi-Modal Representations for Improved Bilingual Lexicon Learning

Autori: Ivan Vulić, Douwe Kiela, Stephen Clark, and Marie-Francine Moens
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Numero Volume 2: Short Papers, 2016, Pagina/e 188-194
Editore: The Association for Computer Linguistics

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

Autori: Ivan Vulic and Anna Korhonen
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Numero Volume 1: Long Papers, 2016, Pagina/e 247-257
Editore: The Association for Computer Linguistics
DOI: 10.17863/CAM.9717

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Autori: Daniela Gerz, Ivan Vulić, Felix Hill, Roi Reichart, and Anna Korhonen
Pubblicato in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016, Pagina/e 2173-2182, ISBN 978-1-945626-25-8
Editore: The Association for Computational Linguistics
DOI: 10.18653/v1/D16-1235

Survey on the Use of Typological Information in Natural Language Processing

Autori: Helen O'Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart and Anna Korhonen
Pubblicato in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, Pagina/e 1297-1308, ISBN 9784-879747020
Editore: The COLING 2016 Organizing Committee

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Autori: Ponti, Edoardo Maria; Vulić, Ivan; Glavaš, Goran; Mrkšić, Nikola; Korhonen, Anna
Pubblicato in: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Numero 12, 2018, Pagina/e 282--293
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/D18-1026

Specializing Distributional Vectors of All Words for Lexical Entailment

Autori: Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavaš, Ivan Vulić
Pubblicato in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), 2019, Pagina/e 72-83
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w19-4310

Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval

Autori: Robert Litschko, Goran Glavaš, Ivan Vulic, Laura Dietz
Pubblicato in: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR'19, 2019, Pagina/e 1109-1112, ISBN 9781450361729
Editore: ACM Press
DOI: 10.1145/3331184.3331324

On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages

Autori: Yi Zhu, Benjamin Heinzerling, Ivan Vulić, Michael Strube, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019, Pagina/e 216-226
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/k19-1021

Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation

Autori: Qianchu Liu, Diana McCarthy, Ivan Vulić, Anna Korhonen
Pubblicato in: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019, Pagina/e 33-43
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/k19-1004

Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

Autori: Paweł Budzianowski, Ivan Vulić
Pubblicato in: Proceedings of the 3rd Workshop on Neural Generation and Translation, 2019, Pagina/e 15-22
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-5602

Cross-lingual Semantic Specialization via Lexical Relation Induction

Autori: Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Pagina/e 2206-2217
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1226

Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?

Autori: Ivan Vulić, Goran Glavaš, Roi Reichart, and Anna Korhonen
Pubblicato in: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), 2019, Pagina/e 4406-4417
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1449

Towards Zero-shot Language Modeling

Autori: Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Pagina/e 2900-2910
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1288

A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces

Autori: Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto, and Ivan Vulić
Pubblicato in: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), Numero long paper, to appear, 2020
Editore: Association for the Advancement of Artificial Intelligence

Enhancing biomedical word embeddings by retrofitting to verb clusters

Autori: Billy Chiu, Simon Baker, Martha Palmer, Anna Korhonen
Pubblicato in: Proceedings of the 18th BioNLP Workshop and Shared Task, 2019, Pagina/e 125-134
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w19-5014

Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines

Autori: Ehsan Shareghi, Daniela Gerz, Ivan Vulić, Anna Korhonen
Pubblicato in: Proceedings of the 2019 Conference of the North, 2019, Pagina/e 4113-4118
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/n19-1417

On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling

Autori: Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018, Pagina/e 316-327
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d18-1029

Bayesian learning for neural dependency parsing

Autori: Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart, Anna Korhonen
Pubblicato in: Proceedings of the 2019 Conference of the North, 2019, Pagina/e 3509-3519
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/n19-1354

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Autori: Phillip Rust, Jonas Pfeiffer, Ivan Vulić, Sebastian Ruder, Iryna Gurevych
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 3118-3135
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.243

Are All Good Word Vector Spaces Isomorphic?

Autori: Ivan Vulić, Sebastian Ruder, Anders Søgaard
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 3178-3192
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.257

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Autori: Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, Sebastian Ruder
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 7654-7673
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.617

LexFit: Lexical Fine-Tuning of Pretrained Language Models

Autori: Ivan Vulić, Edoardo Maria Ponti, Anna Korhonen, Goran Glavaš
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 5269-5283
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.410

Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers

Autori: Robert Litschko, Ivan Vulić, Željko Agić, Goran Glavaš
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics, 2020, Pagina/e 3886-3898
Editore: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.345

Emergent Communication Pretraining for Few-Shot Machine Translation

Autori: Li, Yaoyiran; Ponti, Edoardo M.; Vulić, Ivan; Korhonen, Anna
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Numero 2, 2020, Pagina/e 4716-4731
Editore: International Committee on Computational Linguistics
DOI: 10.17863/cam.62217

Probing Pretrained Language Models for Lexical Semantics

Autori: Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, Goran Glavaš, Anna Korhonen
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 7222-7240
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.586

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models

Autori: Soumya Barikeri, Anne Lauscher, Ivan Vulić, Goran Glavaš
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 1941-1955
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.151

A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters

Autori: Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulić, Roi Reichart, Anna Korhonen, Hinrich Schütze
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Pagina/e 5751-5767
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.447

XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages

Autori: Goran Glavaš, Mladen Karan, Ivan Vulić
Pubblicato in: Proceedings of the 28th International Conference on Computational Linguistics, 2020, Pagina/e 6350-6365
Editore: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.559

Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity

Autori: Ivan Vulić, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen
Pubblicato in: Computational Linguistics, Numero 46/4, 2021, Pagina/e 847-897, ISSN 0891-2017
Editore: MIT Press
DOI: 10.1162/coli_a_00391

Investigating the cross-lingual translatability of VerbNet-style classification

Autori: Olga Majewska, Ivan Vulić, Diana McCarthy, Yan Huang, Akira Murakami, Veronika Laippala, Anna Korhonen
Pubblicato in: Language Resources and Evaluation, 2017, ISSN 1574-020X
Editore: Springer Verlag
DOI: 10.1007/s10579-017-9403-x

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Autori: Ivan Vulić, Daniela Gerz, Douwe Kiela, Felix Hill, Anna Korhonen
Pubblicato in: Computational Linguistics, Numero 43/4, 2017, Pagina/e 781-835, ISSN 0891-2017
Editore: MIT Press
DOI: 10.1162/COLI_a_00301

Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine

Autori: Billy Chiu, Sampo Pyysalo, Ivan Vulić, Anna Korhonen
Pubblicato in: BMC Bioinformatics, Numero 19/1, 2018, ISSN 1471-2105
Editore: BioMed Central
DOI: 10.1186/s12859-018-2039-z

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Autori: Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, Roi Reichart, Ira Leviant, Milica Gašić, Anna Korhonen, and Steve Young
Pubblicato in: Transactions of the Association for Computational Linguistics, presented at EMNLP 2017, Numero vol. 5, 2017, Pagina/e 309-324, ISSN 2307-387X
Editore: Association for Computational Linguistics

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

Autori: Ivan Vulić and Marie-Francine Moens
Pubblicato in: Journal of Artificial Intelligence Research, Numero Volume 55, 2016, Pagina/e 953-994, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.4986

Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction

Autori: Daniela Gerz, Ivan Vulić, Edoardo Ponti, Jason Naradowsky, Roi Reichart, Anna Korhonen
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero 6, 2018, Pagina/e 451-465, ISSN 2307-387X
Editore: Transactions of the Association for Computational Linguistics (TACL)
DOI: 10.1162/tacl_a_00032

Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing

Autori: Edoardo Maria Ponti, Helen O’Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen
Pubblicato in: Computational Linguistics, Numero 45/3, 2019, Pagina/e 559-601, ISSN 0891-2017
Editore: MIT Press
DOI: 10.1162/coli_a_00357

A neural classification method for supporting the creation of BioVerbNet

Autori: Billy Chiu, Olga Majewska, Sampo Pyysalo, Laura Wey, Ulla Stenius, Anna Korhonen, Martha Palmer
Pubblicato in: Journal of Biomedical Semantics, Numero 10/1, 2019, ISSN 2041-1480
Editore: BioMed Central
DOI: 10.1186/s13326-018-0193-x

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Autori: Edoardo M. Ponti, Ivan Vulić, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero 9, 2021, Pagina/e 410-428, ISSN 2307-387X
Editore: Association for Computational Linguistics
DOI: 10.1162/tacl_a_00374

Semantic Data Set Construction from Human Clustering and Spatial Arrangement

Autori: Olga Majewska, Diana McCarthy, Jasper J. F. van den Bosch, Nikolaus Kriegeskorte, Ivan Vulić, Anna Korhonen
Pubblicato in: Computational Linguistics, Numero 47/1, 2021, Pagina/e 69-116, ISSN 0891-2017
Editore: MIT Press
DOI: 10.1162/coli_a_00396

Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval

Autori: Robert Litschko, Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš
Pubblicato in: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part I, Numero 12656, 2021, Pagina/e 342-358, ISBN 978-3-030-72112-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-72113-8_23

Zero-Shot Language Transfer for Cross-Lingual Sentence Retrieval Using Bidirectional Attention Model

Autori: Goran Glavaš, Ivan Vulić
Pubblicato in: Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part I, Numero 11437, 2019, Pagina/e 523-538, ISBN 978-3-030-15711-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-15712-8_34

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