The cross-lingual transfer is a promising technique to solve tasks in
le...
Text summarization is an essential task in natural language processing, ...
As the impact of technology on our lives is increasing, we witness incre...
Feature construction can contribute to comprehensibility and performance...
Question answering is one of the most challenging tasks in language
unde...
Natural language processing (NLP) is an area of artificial intelligence ...
Large pretrained language models have recently conquered the area of nat...
Parliamentary and legislative debate transcripts provide an exciting ins...
We present a Slovene combined machine-human translated SuperGLUE benchma...
Large pretrained masked language models have become state-of-the-art
sol...
Paraphrasing is a useful natural language processing task that can contr...
Increasing amounts of freely available data both in textual and relation...
The current dominance of deep neural networks in natural language proces...
Building machine learning prediction models for a specific NLP task requ...
Machine learning models are used in many sensitive areas where besides
p...
Automatic text summarization extracts important information from texts a...
Currently, deep learning approaches are superior in natural language
pro...
Human annotations are an important source of information in the developm...
Idiomatic expressions can be problematic for natural language processing...
Hate speech is an important problem in the management of user-generated
...
Large pretrained masked language models have become state-of-the-art
sol...
Data preprocessing is an important component of machine learning pipelin...
Word embeddings represent words in a numeric space in such a way that
se...
Due to complex experimental settings, missing values are common in biome...
Neural language models are becoming the prevailing methodology for the t...
Recent results show that deep neural networks using contextual embedding...
In text processing, deep neural networks mostly use word embeddings as a...
As a result of social network popularity, in recent years, hate speech
p...
For many analytical problems the challenge is to handle huge amounts of
...
Software development enterprises are under consistent pressure to improv...
We present a set of novel neural supervised and unsupervised approaches ...
Complex networks are used as an abstraction for systems modeling in phys...
The survey data sets are important sources of data and their successful
...
There are plenty of problems where the data available is scarce and
expe...