Combining fact extraction and verification with neural semantic matching networks
The increasing concern with misinformation has stimulated research efforts on automatic fact
checking. The recentlyreleased FEVER dataset introduced a benchmark factverification task …
checking. The recentlyreleased FEVER dataset introduced a benchmark factverification task …
Automated fact checking: Task formulations, methods and future directions
The recently increased focus on misinformation has stimulated research in fact checking, the
task of assessing the truthfulness of a claim. Research in automating this task has been …
task of assessing the truthfulness of a claim. Research in automating this task has been …
Dataset of fake news detection and fact verification: a survey
T Murayama - arXiv preprint arXiv:2111.03299, 2021 - arxiv.org
The rapid increase in fake news, which causes significant damage to society, triggers many
fake news related studies, including the development of fake news detection and fact …
fake news related studies, including the development of fake news detection and fact …
Hierarchical evidence set modeling for automated fact extraction and verification
S Subramanian, K Lee - arXiv preprint arXiv:2010.05111, 2020 - arxiv.org
Automated fact extraction and verification is a challenging task that involves finding relevant
evidence sentences from a reliable corpus to verify the truthfulness of a claim. Existing …
evidence sentences from a reliable corpus to verify the truthfulness of a claim. Existing …
WSDM cup 2017: Vandalism detection and triple scoring
The WSDM Cup 2017 was a data mining challenge held in conjunction with the 10th
International Conference on Web Search and Data Mining (WSDM). It addressed key …
International Conference on Web Search and Data Mining (WSDM). It addressed key …
Facts that matter
This work introduces fact salience: The task of generating a machine-readable
representation of the most prominent information in a text document as a set of facts. We …
representation of the most prominent information in a text document as a set of facts. We …
Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem
Nowadays, multi-hop question answer (QA) problem is challenging and not well solved in
the QA community. The dominant bottleneck of the multi-hop QA problem is the need for a …
the QA community. The dominant bottleneck of the multi-hop QA problem is the need for a …
Claim polarity analysis from conflicting sources
A Senouci, H Meziane, S Benbernou - International Journal of Data …, 2024 - Springer
Automating fact-checking is a challenging task that often requires the retrieval of multiple
pieces of evidence from a reliable corpus for verifying the truthfulness of a claim. Most of the …
pieces of evidence from a reliable corpus for verifying the truthfulness of a claim. Most of the …
Simple compounded-label training for fact extraction and verification
Automatic fact checking is an important task motivated by the need for detecting and
preventing the spread of misinformation across the web. The recently released FEVER …
preventing the spread of misinformation across the web. The recently released FEVER …
Leveraging text and knowledge bases for triple scoring: an ensemble approach-the Bokchoy triple scorer at WSDM Cup 2017
We present our winning solution for the WSDM Cup 2017 triple scoring task. We devise an
ensemble of four base scorers, so as to leverage the power of both text and knowledge …
ensemble of four base scorers, so as to leverage the power of both text and knowledge …