Scarcity of resources such as annotated text corpora for under-resourced...
Lack of available resources such as text corpora for low-resource langua...
Memes are a popular form of communicating trends and ideas in social med...
As stakeholders' pressure on corporates for disclosing their corporate s...
This study introduces a new normalization layer termed Batch Layer
Norma...
Compared to standard Named Entity Recognition (NER), identifying persons...
Collections of research article data harvested from the web have become
...
We propose a scheme for self-training of grammaticality models for
const...
Being able to predict the length of a scientific paper may be helpful in...
The fabulous results of convolution neural networks in image-related tas...
Driving and music listening are two inseparable everyday activities for
...
Automatic methods and metrics that assess various quality criteria of
au...
Automatic evaluation of various text quality criteria produced by data-d...
Word embeddings or distributed representations of words are being used i...
Recent developments in sequence-to-sequence learning with neural network...
Extractive keyphrase generation research has been around since the ninet...
Using data-driven models for solving text summarization or similar tasks...
Authors' keyphrases assigned to scientific articles are essential for
re...
This work investigates the role of factors like training method, trainin...
Recommender systems are software tools used to generate and provide
sugg...
In the area of online communication, commerce and transactions, analyzin...
Sentiment polarity of tweets, blog posts or product reviews has become h...