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Grzegorz Chrupała

32 papers · 2004–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (20) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (14) 🐺 Lone Wolf (4) 🤝 Dynamic Duo (16) 🌱 Topic Pioneer 🏆 Keyword Champion (4) 📈 Trend Setter 💎 Century Club (32) 🗃️ Keyword Collector (92) 🔥 Unstoppable (10)

Conferences

ACL (10) EMNLP (5) COLING (4) CONLL (4) EACL (3) NAACL (3) ICLR (1) IJCNLP (1) INTERSPEECH (1)

Top co-authors

Afra Alishahi (16) Ákos Kádár (5) Lieke Gelderloos (4) Bertrand Higy (3) Arianna Bisazza (3) Hosein Mohebbi (2) Marc-Alexandre Côté (2) Chris Emmery (2) Josef van Genabith (2) Willem Zuidema (2)

Research topics

Linguistics (2) Analysis (1) Processing (1)

Keywords

spoken language (4) multimodal learning (4) neural network (3) speech processing (3) speech recognition (3) recurrent neural network (2) context mixing (2) visual grounding (2) spoken language understanding (2) representation learning (2) spoken language model (2) probing analysis (2) speech analysis (2) representational similarity analysis (2) self-supervised learning (2) low-resource language (2) child-directed speech (1) language modeling (1) multitask learning (1) style transfer (1)

Papers

Quantifying the Plausibility of Context Reliance in Neural Machine Translation ICLR 2024
Encoding of lexical tone in self-supervised models of spoken language NAACL 2024
Quantifying Context Mixing in Transformers EACL 2023
Wave to Syntax: Probing spoken language models for syntax INTERSPEECH 2023
Putting Natural in Natural Language Processing ACL 2023
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers EMNLP 2023
Discrete representations in neural models of spoken language EMNLP 2021
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling EACL 2021
Learning to Understand Child-directed and Adult-directed Speech ACL 2020
Analyzing analytical methods: The case of phonology in neural models of spoken language ACL 2020
Textual Supervision for Visually Grounded Spoken Language Understanding EMNLP 2020
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP ACL 2019
Correlating Neural and Symbolic Representations of Language ACL 2019
Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language ACL 2019
Lessons Learned in Multilingual Grounded Language Learning CONLL 2018
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP EMNLP 2018
Style Obfuscation by Invariance COLING 2018
Revisiting the Hierarchical Multiscale LSTM COLING 2018
Encoding of phonology in a recurrent neural model of grounded speech CONLL 2017
Representations of language in a model of visually grounded speech signal ACL 2017
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning COLING 2016
Multimodal Semantic Learning from Child-Directed Input NAACL 2016
Learning language through pictures ACL 2015
Learning language through pictures IJCNLP 2015
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population EACL 2014
Normalizing tweets with edit scripts and recurrent neural embeddings ACL 2014
Elephant: Sequence Labeling for Word and Sentence Segmentation EMNLP 2013
Hierarchical clustering of word class distributions NAACL 2012
Online Entropy-Based Model of Lexical Category Acquisition CONLL 2010
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish COLING 2006
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish ACL 2006
Hierarchical Recognition of Propositional Arguments with Perceptrons CONLL 2004