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ORCIDAndreas Vlachos 0001
Person information
- affiliation (since 2018): University of Cambridge, Department of Computer Science and Technology, UK
- affiliation (2015-2018): University of Sheffield, Department of Computer Science, UK
- affiliation (PhD 2010): University of Cambridge, Computer Laboratory, UK
Other persons with the same name
- Andreas Vlachos 0002
![[0000-0002-2646-3770]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2646-3770")
— University of Freiburg, Institute of Anatomy and Cell Biology, Germany - Andreas Vlachos 0003 — University of Nicosia, School of Business, Cyprus
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2020 – today
- 2024
[j10]Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos:
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective. Commun. ACM 67(3): 36-39 (2024)- [j9]Max Glockner, Ieva Staliunaite, James Thorne, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
AmbiFC: Fact-Checking Ambiguous Claims with Evidence. Trans. Assoc. Comput. Linguistics 12: 1-18 (2024) - [c79]Eric Chamoun, Michael Schlichtkrull, Andreas Vlachos:
Automated Focused Feedback Generation for Scientific Writing Assistance. ACL (Findings) 2024: 9742-9763 - [c78]Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos:
Document-level Claim Extraction and Decontextualisation for Fact-Checking. ACL (1) 2024: 11943-11954 - [c77]Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel:
Causal Estimation of Memorisation Profiles. ACL (1) 2024: 15616-15635 - [c76]Julius Cheng, Andreas Vlachos:
Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy. EACL (1) 2024: 2115-2128 - [c75]Pietro Lesci, Andreas Vlachos:
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets. NAACL-HLT 2024: 8445-8464 - [i49]Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. CoRR abs/2401.15498 (2024) - [i48]Georgi Karadzhov, Andreas Vlachos, Tom Stafford:
The effect of diversity on group decision-making. CoRR abs/2402.01427 (2024) - [i47]Zhangdie Yuan, Chenxi Whitehouse, Eric Chamoun, Rami Aly, Andreas Vlachos:
PRobELM: Plausibility Ranking Evaluation for Language Models. CoRR abs/2404.03818 (2024) - [i46]Pietro Lesci, Andreas Vlachos:
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets. CoRR abs/2404.05623 (2024) - [i45]Eric Chamoun, Michael Schlichktrull, Andreas Vlachos:
Automated Focused Feedback Generation for Scientific Writing Assistance. CoRR abs/2405.20477 (2024) - [i44]Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos:
Document-level Claim Extraction and Decontextualisation for Fact-Checking. CoRR abs/2406.03239 (2024) - [i43]Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel:
Causal Estimation of Memorisation Profiles. CoRR abs/2406.04327 (2024) - [i42]Lexin Zhou, Youmna Farag, Andreas Vlachos:
An LLM Feature-based Framework for Dialogue Constructiveness Assessment. CoRR abs/2406.14760 (2024) - 2023
- [j8]Georgi Karadzhov, Tom Stafford, Andreas Vlachos:
DeliData: A Dataset for Deliberation in Multi-party Problem Solving. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-25 (2023) - [c74]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. EMNLP (Findings) 2023: 5430-5448 - [c73]Rami Aly, Marek Strong, Andreas Vlachos:
QA-NatVer: Question Answering for Natural Logic-based Fact Verification. EMNLP 2023: 8376-8391 - [c72]Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos:
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. EMNLP (Findings) 2023: 8618-8642 - [c71]Julius Cheng, Andreas Vlachos:
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning. EMNLP 2023: 12473-12480 - [c70]Eric Chamoun, Marzieh Saeidi, Andreas Vlachos:
Automated Fact-Checking in Dialogue: Are Specialized Models Needed? EMNLP 2023: 16009-16020 - [c69]Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos:
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. NeurIPS 2023 - [e10]Andreas Vlachos, Isabelle Augenstein:
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-44-9 [contents] - [e9]Andreas Vlachos, Isabelle Augenstein:
Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-47-0 [contents] - [i41]Youmna Farag, Charlotte O. Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos:
Opening up Minds with Argumentative Dialogues. CoRR abs/2301.06400 (2023) - [i40]Michael Sejr Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos:
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. CoRR abs/2304.14238 (2023) - [i39]Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos:
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. CoRR abs/2305.13117 (2023) - [i38]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. CoRR abs/2305.13507 (2023) - [i37]Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos:
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective. CoRR abs/2306.05569 (2023) - [i36]Rami Aly, Marek Strong, Andreas Vlachos:
QA-NatVer: Question Answering for Natural Logic-based Fact Verification. CoRR abs/2310.14198 (2023) - [i35]Eric Chamoun, Marzieh Saeidi, Andreas Vlachos:
Automated Fact-Checking in Dialogue: Are Specialized Models Needed? CoRR abs/2311.08195 (2023) - [i34]Julius Cheng, Andreas Vlachos:
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning. CoRR abs/2311.14919 (2023) - [i33]Zhangdie Yuan, Andreas Vlachos:
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs. CoRR abs/2312.11785 (2023) - 2022
- [j7]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. Trans. Assoc. Comput. Linguistics 10: 178-206 (2022) - [j6]Amrith Krishna, Sebastian Riedel, Andreas Vlachos:
ProoFVer: Natural Logic Theorem Proving for Fact Verification. Trans. Assoc. Comput. Linguistics 10: 1013-1030 (2022) - [c68]Christine de Kock, Andreas Vlachos:
Leveraging Wikipedia article evolution for promotional tone detection. ACL (1) 2022: 5601-5613 - [c67]Alodie Boissonnet, Marzieh Saeidi, Vassilis Plachouras, Andreas Vlachos:
Explainable Assessment of Healthcare Articles with QA. BioNLP@ACL 2022: 1-9 - [c66]Nedjma Ousidhoum, Zhangdie Yuan, Andreas Vlachos:
Varifocal Question Generation for Fact-checking. EMNLP 2022: 2532-2544 - [c65]Christine de Kock, Andreas Vlachos:
How to disagree well: Investigating the dispute tactics used on Wikipedia. EMNLP 2022: 3824-3837 - [c64]Youmna Farag, Charlotte O. Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos:
Opening up Minds with Argumentative Dialogues. EMNLP (Findings) 2022: 4569-4582 - [c63]Rami Aly, Andreas Vlachos:
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification. EMNLP 2022: 6123-6135 - [c62]Georgi Karadzhov, Tom Stafford, Andreas Vlachos:
What makes you change your mind? An empirical investigation in online group decision-making conversations. SIGDIAL 2022: 552-563 - [e8]Andreas Vlachos, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu:
Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-51-3 [contents] - [e7]Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni:
4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. 2022 [contents] - [i32]Neema Kotonya, Andreas Vlachos, Majid Yazdani, Lambert Mathias, Marzieh Saeidi:
Policy Compliance Detection via Expression Tree Inference. CoRR abs/2205.12259 (2022) - [i31]Georgi Karadzhov, Tom Stafford, Andreas Vlachos:
What makes you change your mind? An empirical investigation in online group decision-making conversations. CoRR abs/2207.12035 (2022) - [i30]Nedjma Ousidhoum, Zhangdie Yuan, Andreas Vlachos:
Varifocal Question Generation for Fact-checking. CoRR abs/2210.12400 (2022) - [i29]Rami Aly, Andreas Vlachos:
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification. CoRR abs/2212.05276 (2022) - [i28]Christine de Kock, Tom Stafford, Andreas Vlachos:
How to disagree well: Investigating the dispute tactics used on Wikipedia. CoRR abs/2212.08353 (2022) - 2021
- [c61]Christine de Kock, Andreas Vlachos:
Survival text regression for time-to-event prediction in conversations. ACL/IJCNLP (Findings) 2021: 1219-1229 - [c60]Rami Aly, Andreas Vlachos, Ryan McDonald:
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification. ACL/IJCNLP (1) 2021: 1516-1528 - [c59]James Thorne, Andreas Vlachos:
Evidence-based Factual Error Correction. ACL/IJCNLP (1) 2021: 3298-3309 - [c58]James Thorne, Andreas Vlachos:
Elastic weight consolidation for better bias inoculation. EACL 2021: 957-964 - [c57]Christine de Kock, Andreas Vlachos:
I Beg to Differ: A study of constructive disagreement in online conversations. EACL 2021: 2017-2027 - [c56]James Hargreaves, Andreas Vlachos, Guy Emerson:
Incremental Beam Manipulation for Natural Language Generation. EACL 2021: 2563-2574 - [c55]Marzieh Saeidi, Majid Yazdani, Andreas Vlachos:
Cross-Policy Compliance Detection via Question Answering. EMNLP (1) 2021: 8622-8632 - [c54]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks 2021 - [e6]Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos, Priyanka Agrawal, André F. T. Martins:
Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-75-6 [contents] - [i27]Christine de Kock, Andreas Vlachos:
I Beg to Differ: A study of constructive disagreement in online conversations. CoRR abs/2101.10917 (2021) - [i26]James Hargreaves, Andreas Vlachos, Guy Emerson:
Incremental Beam Manipulation for Natural Language Generation. CoRR abs/2102.02574 (2021) - [i25]Gordon Buck, Andreas Vlachos:
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning. CoRR abs/2102.12266 (2021) - [i24]James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
Evidence-based Verification for Real World Information Needs. CoRR abs/2104.00640 (2021) - [i23]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR abs/2106.05707 (2021) - [i22]Georgi Karadzhov, Tom Stafford, Andreas Vlachos:
DeliData: A dataset for deliberation in multi-party problem solving. CoRR abs/2108.05271 (2021) - [i21]Amrith Krishna, Sebastian Riedel, Andreas Vlachos:
ProoFVer: Natural Logic Theorem Proving for Fact Verification. CoRR abs/2108.11357 (2021) - [i20]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. CoRR abs/2108.11896 (2021) - [i19]Marzieh Saeidi, Majid Yazdani, Andreas Vlachos:
Cross-Policy Compliance Detection via Question Answering. CoRR abs/2109.03731 (2021) - 2020
- [c53]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. EMNLP (1) 2020: 7147-7161 - [e5]Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents] - [i18]James Thorne, Andreas Vlachos:
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation. CoRR abs/2004.14366 (2020) - [i17]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. CoRR abs/2011.05448 (2020) - [i16]James Thorne, Andreas Vlachos:
Factual Error Correction of Claims. CoRR abs/2012.15788 (2020)
2010 – 2019
- 2019
- [c52]Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. ACL (1) 2019: 3381-3392 - [c51]Joseph Fisher, Andreas Vlachos:
Merge and Label: A Novel Neural Network Architecture for Nested NER. ACL (1) 2019: 5840-5850 - [c50]Abiola Obamuyide, Andreas Vlachos:
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision. ACL (1) 2019: 5873-5879 - [c49]Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos:
Neural Generative Rhetorical Structure Parsing. EMNLP/IJCNLP (1) 2019: 2284-2295 - [c48]James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
Evaluating adversarial attacks against multiple fact verification systems. EMNLP/IJCNLP (1) 2019: 2944-2953 - [c47]William Ferreira, Andreas Vlachos:
Incorporating Label Dependencies in Multilabel Stance Detection. EMNLP/IJCNLP (1) 2019: 6349-6353 - [c46]James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
Generating Token-Level Explanations for Natural Language Inference. NAACL-HLT (1) 2019: 963-969 - [c45]Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos:
Strong Baselines for Complex Word Identification across Multiple Languages. NAACL-HLT (1) 2019: 970-977 - [c44]Abiola Obamuyide, Andreas Vlachos:
Meta-Learning Improves Lifelong Relation Extraction. RepL4NLP@ACL 2019: 224-229 - [c43]Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchell, Zita Marinho:
Automated Fact Checking in the News Room. WWW 2019: 3579-3583 - [e4]André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer:
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-10-9 [contents] - [e3]Maria Liakata, Andreas Vlachos:
Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), London, UK, October 4-5, 2019. 2019 [contents] - [i15]James Thorne, Andreas Vlachos:
Adversarial attacks against Fact Extraction and VERification. CoRR abs/1903.05543 (2019) - [i14]Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchell, Zita Marinho:
Automated Fact Checking in the News Room. CoRR abs/1904.02037 (2019) - [i13]Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos:
Strong Baselines for Complex Word Identification across Multiple Languages. CoRR abs/1904.05953 (2019) - [i12]James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
Generating Token-Level Explanations for Natural Language Inference. CoRR abs/1904.10717 (2019) - [i11]Hardy, Shashi Narayan, Andreas Vlachos:
HighRES: Highlight-based Reference-less Evaluation of Summarization. CoRR abs/1906.01361 (2019) - [i10]Joseph Fisher, Andreas Vlachos:
Merge and Label: A novel neural network architecture for nested NER. CoRR abs/1907.00464 (2019) - [i9]Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos:
Neural Generative Rhetorical Structure Parsing. CoRR abs/1909.11049 (2019) - [i8]Samuel Müller, Andreas Vlachos:
Byte-Pair Encoding for Text-to-SQL Generation. CoRR abs/1910.08962 (2019) - 2018
- [j5]Dyaa Albakour, David P. A. Corney, Julio Gonzalo, Miguel Martinez-Alvarez, Barbara Poblete, Andreas Vlachos:
Report on the 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR'18). SIGIR Forum 52(1): 140-146 (2018) - [c42]Andreas Vlachos:
Automated Fact Checking. CIKM Workshops 2018 - [c41]Yunita Sari, Mark Stevenson, Andreas Vlachos:
Topic or Style? Exploring the Most Useful Features for Authorship Attribution. COLING 2018: 343-353 - [c40]James Thorne, Andreas Vlachos:
Automated Fact Checking: Task Formulations, Methods and Future Directions. COLING 2018: 3346-3359 - [c39]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. FEVER@EMNLP 2018: 1-9 - [c38]Abiola Obamuyide, Andreas Vlachos:
Zero-shot Relation Classification as Textual Entailment. FEVER@EMNLP 2018: 72-78 - [c37]Hardy, Andreas Vlachos:
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation. EMNLP 2018: 768-773 - [c36]James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
FEVER: a Large-scale Dataset for Fact Extraction and VERification. NAACL-HLT 2018: 809-819 - [e2]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-73-5 [contents] - [i7]James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
FEVER: a large-scale dataset for Fact Extraction and VERification. CoRR abs/1803.05355 (2018) - [i6]James Thorne, Andreas Vlachos:
Automated Fact Checking: Task formulations, methods and future directions. CoRR abs/1806.07687 (2018) - [i5]Hardy, Andreas Vlachos:
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation. CoRR abs/1808.09160 (2018) - [i4]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. CoRR abs/1811.10971 (2018) - 2017
- [c35]Abiola Obamuyide, Andreas Vlachos:
Contextual Pattern Embeddings for One-shot Relation Extraction. AKBC@NIPS 2017 - [c34]James Thorne, Andreas Vlachos:
An Extensible Framework for Verification of Numerical Claims. EACL (Software Demonstrations) 2017: 37-40 - [c33]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c32]Yunita Sari, Andreas Vlachos, Mark Stevenson:
Continuous N-gram Representations for Authorship Attribution. EACL (2) 2017: 267-273 - [c31]James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang, Andreas Vlachos:
Fake news stance detection using stacked ensemble of classifiers. NLPmJ@EMNLP 2017: 80-83 - [c30]Gerasimos Lampouras, Andreas Vlachos:
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR. SemEval@ACL 2017: 586-591 - 2016
- [c29]James Goodman, Andreas Vlachos, Jason Naradowsky:
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing. ACL (1) 2016 - [c28]Gerasimos Lampouras, Andreas Vlachos:
Imitation learning for language generation from unaligned data. COLING 2016: 1101-1112 - [c27]Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. EMNLP 2016: 876-885 - [c26]Savelie Cornegruta, Andreas Vlachos:
Timeline extraction using distant supervision and joint inference. EMNLP 2016: 1936-1942 - [c25]William Ferreira, Andreas Vlachos:
Emergent: a novel data-set for stance classification. HLT-NAACL 2016: 1163-1168 - [c24]Isabelle Augenstein, Andreas Vlachos, Kalina Bontcheva:
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders. SemEval@NAACL-HLT 2016: 389-393 - [c23]James Goodman, Andreas Vlachos, Jason Naradowsky:
UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound. SemEval@NAACL-HLT 2016: 1167-1172 - [c22]Daniel Beck, Andreas Vlachos, Gustavo Paetzold, Lucia Specia:
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. WMT 2016: 772-776 - [i3]