Marek Rei

According to our database1, Marek Rei authored at least 72 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models.
CoRR, 2024

DiffuseDef: Improved Robustness to Adversarial Attacks.
CoRR, 2024

Inherent Challenges of Post-Hoc Membership Inference for Large Language Models.
CoRR, 2024

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
Proceedings of the 33rd USENIX Security Symposium, 2024

Atomic Inference for NLI with Generated Facts as Atoms.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Prompting open-source and commercial language models for grammatical error correction of English learner text.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
On the application of Large Language Models for language teaching and assessment technology.
CoRR, 2023

Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.
CoRR, 2023

Improving Robustness in Knowledge Distillation Using Domain-Targeted Data Augmentation.
CoRR, 2023

Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers.
CoRR, 2023

When and Why Does Bias Mitigation Work?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Modelling Temporal Document Sequences for Clinical ICD Coding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On the Application of Large Language Models for Language Teaching and Assessment Technology.
Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models.
CoRR, 2022

Guiding Visual Question Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multimodal Conversation Modelling for Topic Derailment Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Probing for targeted syntactic knowledge through grammatical error detection.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Memorisation versus Generalisation in Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Supervising Model Attention with Human Explanations for Robust Natural Language Inference.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Control Prefixes for Text Generation.
CoRR, 2021

Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports.
CoRR, 2021

BERT memorisation and pitfalls in low-resource scenarios.
CoRR, 2021

Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention.
CoRR, 2021

Turning transformer attention weights into zero-shot sequence labelers.
CoRR, 2021

Improving Translation Robustness with Visual Cues and Error Correction.
CoRR, 2021

Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Visual Cues and Error Correction for Translation Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method.
CoRR, 2020

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Grammatical error detection in transcriptions of spoken English.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Verbal Multiword Expressions for Identification of Metaphor.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multidirectional Associative Optimization of Function-Specific Word Representations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modelling the interplay of metaphor and emotion through multitask learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural and FST-based approaches to grammatical error correction.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Context is Key: Grammatical Error Detection with Contextual Word Representations.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

Jointly Learning to Label Sentences and Tokens.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Advance Prediction of Ventricular Tachyarrhythmias using Patient Metadata and Multi-Task Networks.
CoRR, 2018

Neural Multi-task Learning in Automated Assessment.
CoRR, 2018

Variable Typing: Assigning Meaning to Variables in Mathematical Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Sequence Classification with Human Attention.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Scoring Lexical Entailment with a Supervised Directional Similarity Network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Neural Sequence-Labelling Models for Grammatical Error Correction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Auxiliary Objectives for Neural Error Detection Models.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Artificial Error Generation with Machine Translation and Syntactic Patterns.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Detecting Off-topic Responses to Visual Prompts.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

An Error-Oriented Approach to Word Embedding Pre-Training.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Semi-supervised Multitask Learning for Sequence Labeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
A Joint Model for Word Embedding and Word Morphology.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Attending to Characters in Neural Sequence Labeling Models.
Proceedings of the COLING 2016, 2016

Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays.
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

Compositional Sequence Labeling Models for Error Detection in Learner Writing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Automatic Text Scoring Using Neural Networks.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Online Representation Learning in Recurrent Neural Language Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Looking for Hyponyms in Vector Space.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

2013
Minimally supervised dependency-based methods for natural language processing.
PhD thesis, 2013

Parser lexicalisation through self-learning.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2011
Unsupervised Entailment Detection between Dependency Graph Fragments.
Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

Intelligent Information Access from Scientific Papers.
Proceedings of the Current Challenges in Patent Information Retrieval, 2011

2010
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010


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