Helen Yannakoudakis

According to our database1, Helen Yannakoudakis authored at least 52 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Prompting open-source and commercial language models for grammatical error correction of English learner text.
CoRR, 2024

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

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

FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs.
CoRR, 2023

CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 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
Learning New Tasks from a Few Examples with Soft-Label Prototypes.
CoRR, 2022

Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB).
Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

Scientific and Creative Analogies in Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
The User behind the Abuse: A Position on Ethics and Explainability.
CoRR, 2021

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

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

Towards a robust experimental framework and benchmark for lifelong language learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multilingual and cross-lingual document classification: A meta-learning approach.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Ruddit: Norms of Offensiveness for English Reddit Comments.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Multimodal Framework for the Detection of Hateful Memes.
CoRR, 2020

The Teacher-Student Chatroom Corpus.
CoRR, 2020

Analyzing Neural Discourse Coherence Models.
CoRR, 2020

Meta-Learning with Sparse Experience Replay for Lifelong Language Learning.
CoRR, 2020

Graph-based Modeling of Online Communities for Fake News Detection.
CoRR, 2020


Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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

Joint Modelling of Emotion and Abusive Language Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods.
CoRR, 2019

Author Profiling for Hate Speech Detection.
CoRR, 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

Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Abusive Language Detection with Graph Convolutional Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

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

Multi-Task Learning for Coherence Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Author Profiling for Abuse Detection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Neural Character-based Composition Models for Abuse Detection.
Proceedings of the 2nd Workshop on Abusive Language Online, 2018

2017
Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Neural Sequence-Labelling Models for Grammatical Error Correction.
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

2016
Unsupervised Modeling of Topical Relevance in L2 Learner Text.
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
Evaluating the performance of Automated Text Scoring systems.
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015

2014
Grammatical error correction using hybrid systems and type filtering.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

2013
Automated assessment of English-learner writing.
PhD thesis, 2013

Developing and testing a self-assessment and tutoring system.
Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013

2012
Modeling coherence in ESOL learner texts.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

2011
A New Dataset and Method for Automatically Grading ESOL Texts.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011


  Loading...