research
∙
06/08/2023
Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective
With the explosive advancement of AI technologies in recent years, the s...
share
research
∙
05/22/2023
AVeriTeC: A dataset for real-world claim verification with evidence from the web
Existing datasets for automated fact-checking have substantial limitatio...
research
∙
04/27/2023
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Automated fact-checking is often presented as an epistemic tool that fac...
research
∙
01/16/2023
Opening up Minds with Argumentative Dialogues
Recent research on argumentative dialogues has focused on persuading peo...
research
∙
12/16/2022
How to disagree well: Investigating the dispute tactics used on Wikipedia
Disagreements are frequently studied from the perspective of either dete...
research
∙
12/10/2022
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
A key component of fact verification is thevevidence retrieval, often fr...
research
∙
10/22/2022
Varifocal Question Generation for Fact-checking
Fact-checking requires retrieving evidence related to a claim under inve...
research
∙
07/25/2022
What makes you change your mind? An empirical investigation in online group decision-making conversations
People leverage group discussions to collaborate in order to solve compl...
research
∙
05/24/2022
Policy Compliance Detection via Expression Tree Inference
Policy Compliance Detection (PCD) is a task we encounter when reasoning ...
research
∙
09/13/2021
Mitigating Catastrophic Forgetting in Scheduled Sampling with Elastic Weight Consolidation in Neural Machine Translation
Despite strong performance in many sequence-to-sequence tasks, autoregre...
research
∙
09/08/2021
Cross-Policy Compliance Detection via Question Answering
Policy compliance detection is the task of ensuring that a scenario conf...
research
∙
08/26/2021
A Survey on Automated Fact-Checking
Fact-checking has become increasingly important due to the speed with wh...
research
∙
08/25/2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
We propose ProoFVer, a proof system for fact verification using natural ...
research
∙
08/11/2021
DeliData: A dataset for deliberation in multi-party problem solving
Dialogue systems research is traditionally focused on dialogues between ...
research
∙
06/10/2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Fact verification has attracted a lot of attention in the machine learni...
research
∙
06/02/2021
Evidence-based Factual Error Correction
This paper introduces the task of factual error correction: performing e...
research
∙
04/01/2021
Evidence-based Verification for Real World Information Needs
Claim verification is the task of predicting the veracity of written sta...
research
∙
03/24/2021
Web Mining for Estimating Regulatory Blockchain Readiness
The regulatory framework of cryptocurrencies (and, in general, blockchai...
research
∙
02/24/2021
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning
Word embedding learning methods require a large number of occurrences of...
research
∙
02/04/2021
Incremental Beam Manipulation for Natural Language Generation
The performance of natural language generation systems has improved subs...
research
∙
01/26/2021
I Beg to Differ: A study of constructive disagreement in online conversations
Disagreements are pervasive in human communication. In this paper we inv...
research
∙
01/20/2021
A Robust Blockchain Readiness Index Model
As the blockchain ecosystem gets more mature many businesses, investors,...
research
∙
12/31/2020
Factual Error Correction of Claims
This paper introduces the task of factual error correction: performing e...
research
∙
11/10/2020
Generating Fact Checking Briefs
Fact checking at scale is difficult – while the number of active fact ch...
research
∙
04/29/2020
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation
The biases present in training datasets have been shown to be affecting ...
research
∙
10/20/2019
Byte-Pair Encoding for Text-to-SQL Generation
Neural sequence-to-sequence models provide a competitive approach to the...
research
∙
09/24/2019
Neural Generative Rhetorical Structure Parsing
Rhetorical structure trees have been shown to be useful for several docu...
research
∙
06/30/2019
Merge and Label: A novel neural network architecture for nested NER
Named entity recognition (NER) is one of the best studied tasks in natur...
research
∙
06/04/2019
HighRES: Highlight-based Reference-less Evaluation of Summarization
There has been substantial progress in summarization research enabled by...
research
∙
04/24/2019
Generating Token-Level Explanations for Natural Language Inference
The task of Natural Language Inference (NLI) is widely modeled as superv...
research
∙
04/11/2019
Strong Baselines for Complex Word Identification across Multiple Languages
Complex Word Identification (CWI) is the task of identifying which words...
research
∙
04/03/2019
Automated Fact Checking in the News Room
Fact checking is an essential task in journalism; its importance has bee...
research
∙
03/13/2019
Adversarial attacks against Fact Extraction and VERification
This paper describes a baseline for the second iteration of the Fact Ext...
research
∙
11/27/2018
The Fact Extraction and VERification (FEVER) Shared Task
We present the results of the first Fact Extraction and VERification (FE...
research
∙
08/28/2018
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Recent work on abstractive summarization has made progress with neural e...
research
∙
06/20/2018
Automated Fact Checking: Task formulations, methods and future directions
The recently increased focus on misinformation has stimulated research i...
research
∙
03/14/2018
FEVER: a large-scale dataset for Fact Extraction and VERification
Unlike other tasks and despite recent interest, research in textual clai...
research
∙
06/17/2016
Stance Detection with Bidirectional Conditional Encoding
Stance detection is the task of classifying the attitude expressed in a ...
research
∙
07/05/2015
