Andreas Vlachos

Orcid: 0000-0003-2123-5071

Affiliations:
  • University of Cambridge, Department of Computer Science and Technology, UK (since 2018)
  • University of Sheffield, Department of Computer Science, UK (2015-2018)
  • University of Cambridge, Computer Laboratory, UK (PhD 2010)


According to our database1, Andreas Vlachos authored at least 97 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective.
Commun. ACM, March, 2024

The effect of diversity on group decision-making.
CoRR, 2024

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.
CoRR, 2024

Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
DeliData: A Dataset for Deliberation in Multi-party Problem Solving.
Proc. ACM Hum. Comput. Interact., 2023

Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs.
CoRR, 2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
CoRR, 2023

The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.
CoRR, 2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Faster Minimum Bayes Risk Decoding with Confidence-based Pruning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

QA-NatVer: Question Answering for Natural Logic-based Fact Verification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multimodal Automated Fact-Checking: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
ProoFVer: Natural Logic Theorem Proving for Fact Verification.
Trans. Assoc. Comput. Linguistics, 2022

A Survey on Automated Fact-Checking.
Trans. Assoc. Comput. Linguistics, 2022

How to disagree well: Investigating the dispute tactics used on Wikipedia.
CoRR, 2022

Policy Compliance Detection via Expression Tree Inference.
CoRR, 2022

What makes you change your mind? An empirical investigation in online group decision-making conversations.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Varifocal Question Generation for Fact-checking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How to disagree well: Investigating the dispute tactics used on Wikipedia.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Opening up Minds with Argumentative Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explainable Assessment of Healthcare Articles with QA.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Leveraging Wikipedia article evolution for promotional tone detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Evidence-based Verification for Real World Information Needs.
CoRR, 2021

Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning.
CoRR, 2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Cross-Policy Compliance Detection via Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Elastic weight consolidation for better bias inoculation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

I Beg to Differ: A study of constructive disagreement in online conversations.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Incremental Beam Manipulation for Natural Language Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Evidence-based Factual Error Correction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Survival text regression for time-to-event prediction in conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Factual Error Correction of Claims.
CoRR, 2020

Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation.
CoRR, 2020

Generating Fact Checking Briefs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Byte-Pair Encoding for Text-to-SQL Generation.
CoRR, 2019

Adversarial attacks against Fact Extraction and VERification.
CoRR, 2019

Automated Fact Checking in the News Room.
Proceedings of the World Wide Web Conference, 2019

Meta-Learning Improves Lifelong Relation Extraction.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Generating Token-Level Explanations for Natural Language Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Strong Baselines for Complex Word Identification across Multiple Languages.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Evaluating adversarial attacks against multiple fact verification systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Generative Rhetorical Structure Parsing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Label Dependencies in Multilabel Stance Detection.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

HighRES: Highlight-based Reference-less Evaluation of Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Merge and Label: A Novel Neural Network Architecture for Nested NER.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Report on the 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR'18).
SIGIR Forum, 2018

The Fact Extraction and VERification (FEVER) Shared Task.
CoRR, 2018

FEVER: a Large-scale Dataset for Fact Extraction and VERification.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Automated Fact Checking: Task Formulations, Methods and Future Directions.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Topic or Style? Exploring the Most Useful Features for Authorship Attribution.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Automated Fact Checking.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Fake news stance detection using stacked ensemble of classifiers.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

An Extensible Framework for Verification of Numerical Claims.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Continuous N-gram Representations for Authorship Attribution.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017


Contextual Pattern Embeddings for One-shot Relation Extraction.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning.
Proceedings of the First Conference on Machine Translation, 2016

UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Emergent: a novel data-set for stance classification.
Proceedings of the NAACL HLT 2016, 2016

Timeline extraction using distant supervision and joint inference.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Stance Detection with Bidirectional Conditional Encoding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Imitation learning for language generation from unaligned data.
Proceedings of the COLING 2016, 2016

Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Identification and Verification of Simple Claims about Statistical Properties.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Strong Lexical Matching Method for the Machine Comprehension Test.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Using word embedding for bio-event extraction.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

Dependency Recurrent Neural Language Models for Sentence Completion.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Matrix and Tensor Factorization Methods for Natural Language Processing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing.
Trans. Assoc. Comput. Linguistics, 2014

Fact Checking: Task definition and dataset construction.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

2013
Dependency Language Models for Sentence Completion.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semantic Parsing as Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Biomedical event extraction from abstracts and full papers using search-based structured prediction.
BMC Bioinform., 2012

An investigation of imitation learning algorithms for structured prediction.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

2011
Evaluating unsupervised learning for natural language processing tasks.
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

Search-based Structured Prediction applied to Biomedical Event Extraction.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

2010
Semi-supervised learning for biomedical information extraction.
PhD thesis, 2010

Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

Two Strong Baselines for the BioNLP 2009 Event Extraction Task.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010

Scaling the iHMM: Parallelization versus Hadoop.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009
The infinite HMM for unsupervised PoS tagging.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Biomedical Event Extraction without Training Data.
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

2008
A stopping criterion for active learning.
Comput. Speech Lang., 2008

Natural Language Processing in aid of FlyBase curators.
BMC Bioinform., 2008

Bootstrapping an interactive information extraction system for FlyBase curation.
Proceedings of the Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives, 24.03., 2008

2007
Evaluating and combining and biomedical named entity recognition systems.
Proceedings of the Biological, translational, and clinical language processing, 2007

2006
Bootstrapping the Recognition and Anaphoric Linking of Named Entities in Drosophila Articles.
Proceedings of the Biocomputing 2006, 2006

Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain.
Proceedings of the Workshop on Linking Natural Language and Biology, 2006


  Loading...