129 citations · 276 across the 19 of their papers we have counts for
36 papers · 1 filter
Multimodal Automated Fact-Checking: A Survey
Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo +3
Misinformation is often conveyed in multiple modalities, e.g. a miscaptioned image. Multimodal misinformation is perceived as more credible by humans, and spreads faster than its t…
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos
Existing datasets for automated fact-checking have substantial limitations, such as relying on artificial claims, lacking annotations for evidence and intermediate reasoning, or in…
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, fe…
Opening up Minds with Argumentative Dialogues
Youmna Farag, Charlotte O. Brand, Jacopo Amidei +4
Recent research on argumentative dialogues has focused on persuading people to take some action, changing their stance on the topic of discussion, or winning debates. In this work,…
How to disagree well: Investigating the dispute tactics used on Wikipedia
Christine de Kock, Tom Stafford, Andreas Vlachos
Disagreements are frequently studied from the perspective of either detecting toxicity or analysing argument structure. We propose a framework of dispute tactics that unifies these…
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
Rami Aly, Andreas Vlachos
A key component of fact verification is thevevidence retrieval, often from multiple documents. Recent approaches use dense representations and condition the retrieval of each docum…
Varifocal Question Generation for Fact-checking
Nedjma Ousidhoum, Zhangdie Yuan, Andreas Vlachos
Fact-checking requires retrieving evidence related to a claim under investigation. The task can be formulated as question generation based on a claim, followed by question answerin…
What makes you change your mind? An empirical investigation in online group decision-making conversations
Georgi Karadzhov, Tom Stafford, Andreas Vlachos
People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational…
Policy Compliance Detection via Expression Tree Inference
Neema Kotonya, Andreas Vlachos, Majid Yazdani +2
Policy Compliance Detection (PCD) is a task we encounter when reasoning over texts, e.g. legal frameworks. Previous work to address PCD relies heavily on modeling the task as a spe…
Cross-Policy Compliance Detection via Question Answering
Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
Policy compliance detection is the task of ensuring that a scenario conforms to a policy (e.g. a claim is valid according to government rules or a post in an online platform confor…
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Michalis Korakakis, Andreas Vlachos
Despite strong performance in many sequence-to-sequence tasks, autoregressive models trained with maximum likelihood estimation suffer from exposure bias, i.e. the discrepancy betw…
A Survey on Automated Fact-Checking
Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
Fact-checking has become increasingly important due to the speed with which both information and misinformation can spread in the modern media ecosystem. Therefore, researchers hav…
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna, Sebastian Riedel, Andreas Vlachos
Fact verification systems typically rely on neural network classifiers for veracity prediction which lack explainability. This paper proposes ProoFVer, which uses a seq2seq model t…
DeliData: A dataset for deliberation in multi-party problem solving
Georgi Karadzhov, Tom Stafford, Andreas Vlachos
Group deliberation enables people to collaborate and solve problems, however, it is understudied due to a lack of resources. To this end, we introduce the first publicly available…
Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence. This extends the well-studied…
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Rami Aly, Zhijiang Guo, Michael Schlichtkrull +5
Fact verification has attracted a lot of attention in the machine learning and natural language processing communities, as it is one of the key methods for detecting misinformation…
AmbiFC: Fact-Checking Ambiguous Claims with Evidence
Max Glockner, Ieva Staliūnaitė, James Thorne +3
Automated fact-checking systems verify claims against evidence to predict their veracity. In real-world scenarios, the retrieved evidence may not unambiguously support or refute th…
Incremental Beam Manipulation for Natural Language Generation
James Hargreaves, Andreas Vlachos, Guy Emerson
The performance of natural language generation systems has improved substantially with modern neural networks. At test time they typically employ beam search to avoid locally optim…
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning
Gordon Buck, Andreas Vlachos
Word embedding learning methods require a large number of occurrences of a word to accurately learn its embedding. However, out-of-vocabulary (OOV) words which do not appear in the…
I Beg to Differ: A study of constructive disagreement in online conversations
Christine de Kock, Andreas Vlachos
Disagreements are pervasive in human communication. In this paper we investigate what makes disagreement constructive. To this end, we construct WikiDisputes, a corpus of 7 425 Wik…
Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence. This extends the well-studied…
Generating Fact Checking Briefs
Angela Fan, Aleksandra Piktus, Fabio Petroni +5
Fact checking at scale is difficult -- while the number of active fact checking websites is growing, it remains too small for the needs of the contemporary media ecosystem. However…
Elastic weight consolidation for better bias inoculation
James Thorne, Andreas Vlachos
The biases present in training datasets have been shown to affect models for sentence pair classification tasks such as natural language inference (NLI) and fact verification. Whil…
Byte-Pair Encoding for Text-to-SQL Generation
Samuel Müller, Andreas Vlachos
Neural sequence-to-sequence models provide a competitive approach to the task of mapping a question in natural language to an SQL query, also referred to as text-to-SQL generation.…