Andrew Caines
30 papers · 2016–2026 · 8 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (54) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Dynamic Duo
(21)
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Topic Evolution
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Natural Language Processing
(21)
Machine Learning
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Applications
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Artificial Intelligence
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Learning Types · Machine Learning
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Resources & Methods
(7)
Deep Learning
(6)
Core AI
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Core Methods
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Interdisciplinary
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Application Areas
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Generation
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Understanding
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Learning Types · Deep Learning
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Keywords
language model
(5)
text classification
(4)
transfer learning
(3)
large language model
(3)
grammatical error correction
(3)
automatic speech recognition
(3)
language learning
(3)
multi-task learning
(2)
few-shot prompting
(2)
grammatical error detection
(2)
speech transcription
(2)
neural machine translation
(2)
language modeling
(2)
automated assessment
(2)
self-supervised learning
(1)
binary classification
(1)
dataset creation
(1)
text mining
(1)
statistical inference
(1)
contrastive learning
(1)
Papers
PictureStories: Predicting the Task Adherence of Language Learner Answers to a Picture Story-Based Writing Task
EACL 2026
AFRIDOC-MT: Document-level MT Corpus for African Languages
EMNLP 2025
BLiSS: Evaluating Bilingual Learner Competence in Second Language Small Language Models
EMNLP 2025
LLM-based post-editing as reference-free GEC evaluation
ACL 2025
Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
EMNLP 2025
Teacher Demonstrations in a BabyLM’s Zone of Proximal Development for Contingent Multi-Turn Interaction
EMNLP 2025
Web(er) of Hate: A Survey on How Hate Speech Is Typed
ACL 2025
Detecting Narrative Patterns in Biblical Hebrew and Greek
ACL 2024
From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes
CoNLL 2024
Grammatical Error Correction for Code-Switched Sentences by Learners of English
COLING 2024
Logging Keystrokes in Writing by English Learners
COLING 2024
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing
EMNLP 2024
Prompting open-source and commercial language models for grammatical error correction of English learner text
ACL 2024
CLIMB – Curriculum Learning for Infant-inspired Model Building
CoNLL 2023
ALEN App: Argumentative Writing Support To Foster English Language Learning
NAACL 2022
A unified framework for cross-domain and cross-task learning of mental health conditions
EMNLP 2022
Probing for targeted syntactic knowledge through grammatical error detection
CoNLL 2022
The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education
NAACL 2022
Towards an open-domain chatbot for language practice
NAACL 2022
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives
EACL 2021
An Expectation Maximisation Algorithm for Automated Cognate Detection
CoNLL 2020
Detecting Trending Terms in Cybersecurity Forum Discussions
EMNLP 2020
Grammatical error detection in transcriptions of spoken English
COLING 2020
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions
ACL 2020
The Teacher-Student Chatroom Corpus
COLING 2020
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets
SemEval 2019
Aggressive language in an online hacking forum
EMNLP 2018
Impact of ASR Performance on Free Speaking Language Assessment
Interspeech 2018
Overview of the 2018 Spoken CALL Shared Task
Interspeech 2018
Automated speech-unit delimitation in spoken learner English
COLING 2016