An overview of online fake news: Characterization, detection, and discussion
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …
people communicate with each other. Users of online social media share information …
A comprehensive survey of deep learning for image captioning
Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …
recognizing the important objects, their attributes, and their relationships in an image. It also …
[PDF][PDF] KLUE: Korean Language Understanding Evaluation
S Park - arxiv preprint arxiv:2105.09680, 2021 - academia.edu
We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a
collection of 8 Korean natural language understanding (NLU) tasks, including Topic …
collection of 8 Korean natural language understanding (NLU) tasks, including Topic …
A structural probe for finding syntax in word representations
Recent work has improved our ability to detect linguistic knowledge in word representations.
However, current methods for detecting syntactic knowledge do not test whether syntax trees …
However, current methods for detecting syntactic knowledge do not test whether syntax trees …
A deep fusion matching network semantic reasoning model
As the vital technology of natural language understanding, sentence representation
reasoning technology mainly focuses on sentence representation methods and reasoning …
reasoning technology mainly focuses on sentence representation methods and reasoning …
Designing and interpreting probes with control tasks
Probes, supervised models trained to predict properties (like parts-of-speech) from
representations (like ELMo), have achieved high accuracy on a range of linguistic tasks. But …
representations (like ELMo), have achieved high accuracy on a range of linguistic tasks. But …
Visualizing and measuring the geometry of BERT
Transformer architectures show significant promise for natural language processing. Given
that a single pretrained model can be fine-tuned to perform well on many different tasks …
that a single pretrained model can be fine-tuned to perform well on many different tasks …
This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news
The problem of fake news has gained a lot of attention as it is claimed to have had a
significant impact on 2016 US Presidential Elections. Fake news is not a new problem and …
significant impact on 2016 US Presidential Elections. Fake news is not a new problem and …
Emergent linguistic structure in artificial neural networks trained by self-supervision
This paper explores the knowledge of linguistic structure learned by large artificial neural
networks, trained via self-supervision, whereby the model simply tries to predict a masked …
networks, trained via self-supervision, whereby the model simply tries to predict a masked …
Universal dependencies v1: A multilingual treebank collection
Cross-linguistically consistent annotation is necessary for sound comparative evaluation
and cross-lingual learning experiments. It is also useful for multilingual system development …
and cross-lingual learning experiments. It is also useful for multilingual system development …