22 citations · 41 across the 8 of their papers we have counts for
8 papers
MemeGraphs: Linking Memes to Knowledge Graphs
Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair +4
Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and s…
CSRCZ: A Dataset About Corporate Social Responsibility in Czech Republic
Xhesilda Vogli, Erion Çano
As stakeholders' pressure on corporates for disclosing their corporate social responsibility operations grows, it is crucial to understand how efficient corporate disclosure system…
Batch Layer Normalization, A new normalization layer for CNNs and RNN
Amir Ziaee, Erion Çano
This study introduces a new normalization layer termed Batch Layer Normalization (BLN) to reduce the problem of internal covariate shift in deep neural network layers. As a combine…
hmBERT: Historical Multilingual Language Models for Named Entity Recognition
Stefan Schweter, Luisa März, Katharina Schmid +1
Compared to standard Named Entity Recognition (NER), identifying persons, locations, and organizations in historical texts constitutes a big challenge. To obtain machine-readable c…
Topic Segmentation of Research Article Collections
Erion Çano, Benjamin Roth
Collections of research article data harvested from the web have become common recently since they are important resources for experimenting on tasks such as named entity recogniti…
Focused Contrastive Training for Test-based Constituency Analysis
Benjamin Roth, Erion Çano
We propose a scheme for self-training of grammaticality models for constituency analysis based on linguistic tests. A pre-trained language model is fine-tuned by contrastive estima…
Automating Text Naturalness Evaluation of NLG Systems
Erion Çano, Ondřej Bojar
Automatic methods and metrics that assess various quality criteria of automatically generated texts are important for developing NLG systems because they produce repeatable results…
Two Huge Title and Keyword Generation Corpora of Research Articles
Erion Çano, Ondřej Bojar
Recent developments in sequence-to-sequence learning with neural networks have considerably improved the quality of automatically generated text summaries and document keywords, st…