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2025

Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models, Xiaochen Zhu, Georgi Karadzhov, Chenxi Whitehouse, Andreas Vlachos, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics arxiv

Conformity in Large Language Models, Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics arxiv

The Causal Effect of Merge Operations in Bottom-up Tokenisers, Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics

Mitigating Shortcut Learning with InterpoLated Learning, Michalis Korakakis, Andreas Vlachos, Adrian Weller, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics

A Bayesian Optimization Approach to Machine Translation Reranking, Julius Cheng, Maike Züfle, Vilém Zouhar, Andreas Vlachos, Proceedings of the the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies arxiv

Dis2Dis: Explaining Ambiguity in Fact-Checking, Ieva Staliūnaitė, Andreas Vlachos, Proceedings of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Open Review

2024

TabVer: Tabular Fact Verification with Natural Logic, Rami Aly, Andreas Vlachos, Transactions of the Association for Computational Linguistics (Accepted) MIT Press arxiv

The Automated Verification of Textual Claims (AVeriTeC) Shared Task, Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos, Proceedings of the Seventh Workshop on Fact Extraction and VERification (FEVER) ACL bib arxiv

Tending Towards Stability: Convergence Challenges in Small Language Models, Riciehl Martinez, Pietro Lesci, Paula Buttery arxiv

ALVIN: Active Learning Via INterpolation, Michalis Korakakis, Andreas Vlachos, Adrian Weller, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ACL bib arxiv

An LLM Feature-based Framework for Dialogue Constructiveness Assessment, Lexin Zhou, Youmna Farag, Andreas Vlachos, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing  ACL bib arxiv

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese, Caiqi Zhang, Zhijiang Guo, Andreas Vlachos, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing  ACL bib arxiv

Zero-Shot Fact Verification via Natural Logic and Large Language Models, Marek Strong, Rami Aly, Andreas Vlachos, Findings of the 2023 Conference on Empirical Methods in Natural Language Processing  ACL bib arxiv

PRobELM: Plausibility Ranking Evaluation for Language Models, Zhangdie Yuan, Chenxi Whitehouse, Eric Chamoun, Rami Aly, Andreas Vlachos, Proceedings of the 1st Conference on Language Modeling, arxiv OpenReview

Causal Estimation of Memorisation Profiles, Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel, Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics acl bib arxiv Best long paper award

Document-level Claim Extraction and Decontextualisation for Fact-Checking, Zhenyun Deng, Michael Schlichtkrul, Andreas Vlachos, Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics acl bib arxiv

Automated Focused Feedback Generation for Scientific Writing Assistance, Eric Chamoun, Michael Schlichktrull, Andreas Vlachos, Findings of The 62nd Annual Meeting of the Association for Computational Linguistics ACL bib arxiv

Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs, Zhangdie Yuan, Andreas Vlachos, Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)  ACL bib arxiv

The Effect of Diversity on Group Decision-Making, Georgi Karadzhov, Andreas Vlachos, Tom Stafford, Proceedings of the 2024 Annual Meeting of the Cognitive Science Society arxiv proceedings

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets, Pietro Lesci and Andreas Vlachos, Proceedings of the the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ACL bib arxiv

Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective, Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos, Communications of the ACM arxiv ACM

Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy, Julius Cheng and Andreas Vlachos, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics pdf bib

AmbiFC: Fact-Checking Ambiguous Claims with Evidence, Max Glockner, Ieva Staliūnaitė, James Thorne, Gisela Vallejo, Andreas Vlachos, and Iryna Gurevych, Transactions of the Association for Computational Linguistics MIT Press arxiv

Learning to Generate Answers with Citations via Factual Consistency Models, Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) arXiv 

Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs, Rui Cao, Yuming Jiang, Michael Schlichtkrull, Andreas Vlachos arXiv 

Tables as texts or images: Evaluating the table reasoning ability of llms and mllms, Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea, Findings of the Association for Computational Linguistics ACL 2024, pages 407-426 pdf

See What llms Cannot Answer: A Self-Challenge Framework for Uncovering llm Weaknesses, Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang arXiv

Comparative Study of Explainability Methods for Legal Outcome Prediction, Ieva Staliunaite, Josef Valvoda, Ken Satoh, Proceedings of the Natural Legal Language Processing Workshop 2024 ACL Anthology 

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs, Oskar van der Wal, Pietro Lesci, Max Müller-Eberstein, Naomi Saphra, Hailey Schoelkopf, Willem Zuidema, and Stella Biderman, ICLR 2025 Conference Submission11899 Authors OpenReview

2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web, Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos, Proceedings of the 37th Conference on Neural Information Processing Systems Datasets and Benchmarks Track OpenReview bib arxiv dataset

QA-NatVer: Question Answering for Natural Logic-based Fact Verification, Rami Aly, Marek Strong, Andreas Vlachos, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing arxiv ACL bib

Faster Minimum Bayes Risk Decoding with Confidence-based Pruning, Julius Cheng and Andreas Vlachos, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing arxiv bib Best short paper award

Automated Fact-Checking in Dialogue: Are Specialized Models Needed? Eric Chamoun, Marzieh Saeidi, Andreas Vlachos, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing arxiv ACL bib

Multimodal Automated Fact-Checking: A Survey, Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos, Findings of the 2023 Conference on Empirical Methods in Natural Language Processing arxiv ACL bib

The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who, Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos, Findings of the 2023 Conference on Empirical Methods in Natural Language Processing arxiv ACL bib

Improving the robustness of NLI models with minimax training, Michail Korakakis and Andreas Vlachos, Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics pdf bib

DeliData: A dataset for deliberation in multi-party problem solving, Georgi Karadzhov, Tom Stafford, Andreas Vlachos, Proceedings of The 26th ACM Conference On Computer-Supported Cooperative Work And Social Computing arxiv ACM blogpost

Automated Few-Shot Classification with Instruction-Finetuned Language Models, Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Wilson,Findings of the Association for Computational Linguistics: EMNLP 2023 pdf bib

AmbiFC: Fact-Checking Ambiguous Claims with Evidence, Max Glockner, Ieva Staliūnaitė, James Thorne, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych, Transactions of the Association for Computational Linguistics (2024) 12: 1–18. pdf bib

2022

Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification, Rami Aly and Andreas Vlachos, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing pdf bib

How to disagree well: Investigating the dispute tactics used on Wikipedia, Christine De Kock, Tom Stafford, Andreas Vlachos, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing pdf bib

Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation, Michalis Korakakis and Andreas Vlachos, Findings of the 2022 Conference on Empirical Methods in Natural Language Processing pdf bib

Opening up Minds with Argumentative Dialogues, Youmna Farag, Charlotte Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev and Andreas Vlachos, Findings of the 2022 Conference on Empirical Methods in Natural Language Processing pdf bib

What makes you change your mind? An empirical investigation in online group decision-making conversations, Georgi Karadzhov, Tom Stafford, Andreas Vlachos, Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022) pdf bib

ProoFVer: Natural Logic Theorem Proving for Fact Verification, Amrith Krishna, Sebastian Riedel, Andreas Vlachos, Transactions of the Association for Computational Linguistics MIT Press

Leveraging Wikipedia article evolution for promotional tone detection, Christine de Kock and Andreas Vlachos, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics pdf bib

Explainable Assessment of Healthcare Articles with QA, Alodie Boissonnet, Marzieh Saeidi, Vassilis Plachouras, Andreas Vlachos, Proceedings of the 2022 Workshop on Biomedical Natural Language Processing pdf bib

A Survey on Automated Fact-Checking, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos, Transactions of the Association for Computational Linguistics (2022) 10: 178–206 MIT Press

2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information, Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, Proceedings of the 35th Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1) pdf bib

Cross-Policy Compliance Detection via Question Answering, Marzieh Saeidi, Majid Yazdani, Andreas Vlachos, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing pdf bib

The Fact Extraction and VERification Over Unstructured and Structured Information (FEVEROUS) Shared Task, Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) pdf bib

Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification, Rami Aly, Andreas Vlachos, Ryan McDonald, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing pdf bib

Survival text regression for time-to-event prediction in conversations, Christine de Kock and Andreas Vlachos, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 pdf bib

I Beg to Differ: A study of constructive disagreement in online conversations, Christine de Kock and Andreas Vlachos, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics arxiv bib

Elastic weight consolidation for better bias inoculation, James Thorne and Andreas Vlachos, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics arxiv bib

Incremental Beam Manipulation for Natural Language Generation, James Hargreaves, Andreas Vlachos, Guy Emerson, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics arxiv bib

Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning, Gordon Buck and Andreas Vlachos, Proceedings of The Second Workshop on Domain Adaptation for NLP arxiv bib

Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives, Rami Aly,  Andrew Caines, Paula Buttery, Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects pdf bib

Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation, Ieva Staliūnaitė, Philip John Gorinski, Ignacio Iacobacci, Proceedings of the AAAI Conference on Artificial Intelligence pdf bib

2020

Generating Fact Checking Briefs, Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing pdf bib

Compositional and lexical semantics in RoBERTa, BERT and DistilBERT: A case study on CoQA, Ieva Staliūnaitė, Ignacio Iacobacci, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Prosing arxiv bib

Auxiliary Capsules for Natural Language Understanding: Ieva Staliūnaitė, Ignacio Iacobacci, ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pdf on IEEE

2019

Neural Generative Rhetorical Structure Parsing, Amandla Mabona, Laura Rimell, Stephen Clark and Andreas Vlachos, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing arxiv bib

Evaluating adversarial attacks against multiple fact verification systems, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing pdf bib

Incorporating Label Dependencies in Multilabel Stance Detection, William Ferreira and Andreas Vlachos, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing pdf bib

The FEVER2.0 Shared Task, James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos and Arpit Mittal, Proceedings of the Second Workshop on Fact Extraction and Verification pdf bib

Byte-Pair Encoding for Text-to-SQL Generation, Samuel Müller and Andreas Vlachos, Proceedings of the 2nd Workshop on Deep Learning for Low-Resource NLP arxiv

HighRES: Highlight-based Reference-less Evaluation of Summarization, Hardy, Shashi Narayan and Andreas Vlachos, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics arxiv bib

Merge and Label: A novel neural network architecture for nested NER, Joseph Fisher and Andreas Vlachos, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics arxiv bib

Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision, Abiola Obamuyide and Andreas Vlachos, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics pdf bib

Meta-Learning Improves Lifelong Relation Extraction, Abiola Obamuyide and Andreas Vlachos, Proceedings of The 4th Workshop on Representation Learning for NLP pdf bib

Generating Token-Level Explanations for Natural Language Inference, James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal, Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics pdf bib

Strong Baselines for Complex Word Identification across Multiple Languages, Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego and Andreas Vlachos, Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics pdf bib

Automated Fact Checking in the News Room, Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchel and Zita Marinho, Proceedings of The 2019 World Wide Web Conference Demonstrations arxiv ACM

Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings, Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics pdf bib

Hierarchical Multi-label Classification of Text with Capsule Networks, Rami Aly, Steffen Remus, Chris Biemann, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop pdf bib

2018

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation, Hardy and Andreas Vlachos, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing arxiv bib

The Fact Extraction and VERification (FEVER) Shared Task, James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos and Arpit Mittal, Proceedings of the First Workshop on Fact Extraction and Verification arxiv bib

Zero-shot Relation Classification as Textual Entailment, Abiola Obamuyide and Andreas Vlachos, Proceedings of the First Workshop on Fact Extraction and Verification pdf bib

Automated Fact Checking: Task formulations, methods and future directions, James Thorne and Andreas Vlachos, Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) arxiv bib

Topic or Style? Exploring the Most Useful Features for Authorship Attribution, Yunita Sari, Mark Stevenson and Andreas Vlachos, Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) pdf bib

FEVER: a large-scale dataset for Fact Extraction and VERification, James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal, Proceedings of the the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies arxiv bib

Sheffield at E2E: structured prediction approaches to end-to-end language generation, Mingjie Chen, Gerasimos Lampouras and Andreas Vlachos, Proceedings of the E2E Natural Language Generation Challenge, Semantic Scholar bib

Getting to “Hearer-old”: Charting Referring Expressions Across Time, Ieva Staliūnaitė, Hannah Rohde, Bonnie Webber, and Annie Louis, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 ACL Anthology bib

2017

Contextual Pattern Embeddings for One-shot Relation Extraction, Abiola Obamuyide and Andreas Vlachos, Proceedings of the 6th Workshop on Automated Knowledge Base Construction (AKBC) 2017 pdf bib

Fake News Detection using Stacked Ensemble of Classifiers, James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang and Andreas Vlachos, Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pdf bib

Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR, Gerasimos Lampouras and Andreas Vlachos, Proceedings of the 11th International Workshop on Semantic Evaluation pdf bib

An Extensible Framework for Verification of Numerical Claims, James Thorne and Andreas Vlachos, Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics pdf bib

Continuous N-gram Representations for Authorship Attribution, Yunita Sari, Andreas Vlachos and Mark Stevenson, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers pdf bib

2016

Imitation learning for language generation from unaligned data, Gerasimos Lampouras and Andreas Vlachos, Proceedings of the 26th International Conference on Computational Linguistics pdf bib

Timeline extraction using distant supervision and joint inference, Savelie Cornegruta and Andreas Vlachos, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pdf bib

Stance Detection with Bidirectional Conditional Encoding, Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos and Kalina Bontcheva, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pdf bib

Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing, James Goodman, Andreas Vlachos and Jason Naradowsky, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics pdf bib

Emergent: a novel data-set for stance classification, William Ferreira and Andreas Vlachos, Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies pdf bib

UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an α-bound, James Goodman, Andreas Vlachos and Jason Naradowsky, Proceedings of the 10th International Workshop on Semantic Evaluation pdf bib poster (docker image with slightly better results (0.61) here)

SHEF-MIME: Word-level Quality Estimation Using Imitation Learning, Daniel Beck, Andreas Vlachos, Gustavo Paetzold, and Lucia Specia, First Conference on Machine Translation, Volume 2: Shared Task Papers pdf bib

USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders, Isabelle Augenstein, Andreas Vlachos and Kalina Bontcheva, Proceedings of the 10th International Workshop on Semantic Evaluation pdf bib

2015

Identification and Verification of Simple Claims about Statistical Properties, Andreas Vlachos and Sebastian Riedel, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

A Strong Lexical Matching Method for the Machine Comprehension Test, Ellery Smith, Nicola Greco, Matko Bošnjak and Andreas Vlachos, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning, Isabelle Augenstein, Andreas Vlachos and Diana Maynard, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing pdf bib

Dependency Recurrent Neural Language Models for Sentence Completion, Piotr Mirowski and Andreas Vlachos, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing pdf bib

2014

A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing, Andreas Vlachos and Stephen Clark, Transactions of the Association for Computational Linguistics pdf bib video code_zip docker data_zip

Application-Driven Relation Extraction with Limited Distant Supervision, Andreas Vlachos and Stephen Clark, Proceedings of the Coling AHA! Workshop on Information Discovery in Text pdf bib

Fact-Checking: Task definition and dataset construction, Andreas Vlachos and Sebastian Riedel, Proceedings of the ACL Workshop on Language Technology and Computational Social Science pdf bib data_ods data_tsv

2013

Dependency language models for sentence completion, Joseph Gubbins and Andreas Vlachos, Proceedings of 2013 Conference on Empirical Methods in Natural Language Processing pdf bib

Semantic Parsing as Machine Translation, Jacob Andreas, Andreas Vlachos and Stephen Clark, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics pdf bib

2012

An investigation of imitation learning algorithms for structured prediction, Andreas Vlachos, JMLR Workshop and Conference Proceedings Volume 24: the 10th European Workshop in Reinforcement Learning pdf bib

Biomedical event extraction from abstracts and full papers using search-based structured prediction, Andreas Vlachos and Mark Craven, BMC Bioinformatics, Volume 13, Supplement 11 pdf html bib

2011

Search-based Structured Prediction applied to Biomedical Event Extraction, Andreas Vlachos and Mark Craven, Proceedings of the Fifteenth Conference on Computational Natural Language Learning pdf bib code_zip

Biomedical Event Extraction from Abstracts and Full Papers using Search-based Structured Prediction, Andreas Vlachos and Mark Craven, Proceedings of the BioNLP 2011 shared task workshop pdf bib (this paper was revised and extended in the BMC article above)

Evaluating unsupervised learning for natural language processing tasks, Andreas Vlachos, Proceedings of the EMNLP 2011 Workshop on Unsupervised Learning in NLP pdf bib

2010

Two strong baselines for the BioNLP 2009 event extraction task, Andreas Vlachos, Proceedings of the 2010 Workshop on Biomedical Natural Language Processing pdf bib

Detecting Speculative Language using Syntactic Dependencies and Logistic Regression, Andreas Vlachos and Mark Craven, Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task pdf bib

Active learning for constrained Dirichlet process mixture models, Andreas Vlachos, Zoubin Ghahramani and Ted Briscoe, Proceedings of the ACL workshop on GEometrical Models of Natural Language Semantics pdf bib

Scaling the iHMM: Parallelization versus Hadoop, Sébastien Bratières, Jurgen van Gael, Andreas Vlachos and Zoubin Ghahramani, Proceedings of the Workshop on Scalable Machine Learning and Applications, IEEE International Conference on Computing and Information Technology pdf bib

2009

The infinite HMM for unsupervised PoS tagging, Jurgen Van Gael, Andreas Vlachos and Zoubin Ghahramani, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing pdf bib

Biomedical Event Extraction without Training Data, Andreas Vlachos, Paula Buttery, Diarmuid Ó Séaghdha and Ted Briscoe, Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task pdf bib

Unsupervised and Constrained Dirichlet Process Mixture Models for Verb Clustering, Andreas Vlachos, Anna Korhonen and Zoubin Ghahramani, Proceedings of the ACL Workshop on Geometrical Models of Natural Language Semantics pdf bib

2008

Dirichlet Process Mixture Models for Verb Clustering, Andreas Vlachos, Zoubin Ghahramani and Anna Korhonen, Proceedings of the ICML workshop on Prior Knowledge for Text and Language pdf bib

Natural Language Processing in aid of FlyBase curators, Nikiforos Karamanis, Ruth Seal, Ian Lewin, Peter McQuilton, Andreas Vlachos, Caroline Gasperin, Rachel Drysdale and Ted Briscoe, BMC Bioinformatics, Volume 9:193 pdf html bib

A stopping criterion for active learning, Andreas Vlachos, Computer, Speech and Language, Volume 22, Issue 3, July 2008 pdf publisher bib

2007

Evaluating and combining biomedical named entity recognition systems, Andreas Vlachos, Proceedings of the 2007 Workshop on Biological, translational, and clinical language processing pdf bib

Tackling the BioCreative2 Gene Mention task with Conditional Random Fields and syntactic parsing, Andreas Vlachos, Proceedings of the Second BioCreative Challenge Evaluation Workshop pdf bib

From gene names to actual genes, Ioannis Korkontzelos, Andreas Vlachos and Ian Lewin, Proceedings of BioLINK SIG: Linking Literature, Information and Knowledge for Biology pdf bib

2006

Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain, Andreas Vlachos and Caroline Gaseprin, Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology pdf bib data

Active Annotation, Andreas Vlachos, Proceedings of the Workshop on Adaptive Text Extraction and Mining pdf bib

Bootstrapping the recognition and anaphoric linking of named entities in Drosophila articles, Andreas Vlachos, Caroline Gasperin, Ian Lewin and Ted Briscoe, Proceedings of the 2006 Pacific Symposium in Biocomputing pdf bib

2004

Using Hierarchical Clustering to Enhance Classification Accuracy, Matthaios Theodorakis, Andreas Vlachos and Theodoros Z. Kalamboukis, Proceedings of the 3rd Hellenic Conference in Artificial Intelligence pdf bib

Theses

Semi-supervised learning for biomedical information extraction, Andreas Vlachos, 2010, Computer Laboratory, University of Cambridge pdf bib

Active learning with support vector machines, Andreas Vlachos, 2004, School of Informatics, University of Edinburgh pdf bib

Learning about non-veridicality in textual entailment, Ieva Staliūnaitė, Master’s thesis, Utrecht University 2018 thesis