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09/12/2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
The cross-lingual transfer is a promising technique to solve tasks in le...
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06/20/2023
One model to rule them all: ranking Slovene summarizers
Text summarization is an essential task in natural language processing, ...
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05/09/2023
Detection of depression on social networks using transformers and ensembles
As the impact of technology on our lives is increasing, we witness incre...
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01/23/2023
Feature construction using explanations of individual predictions
Feature construction can contribute to comprehensibility and performance...
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11/16/2022
Unified Question Answering in Slovene
Question answering is one of the most challenging tasks in language unde...
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08/22/2022
Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools
Natural language processing (NLP) is an area of artificial intelligence ...
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07/28/2022
Sequence to sequence pretraining for a less-resourced Slovenian language
Large pretrained language models have recently conquered the area of nat...
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07/03/2022
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis
Parliamentary and legislative debate transcripts provide an exciting ins...
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02/10/2022
Slovene SuperGLUE Benchmark: Translation and Evaluation
We present a Slovene combined machine-human translated SuperGLUE benchma...
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12/20/2021
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages
Large pretrained masked language models have become state-of-the-art sol...
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11/13/2021
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
Paraphrasing is a useful natural language processing task that can contr...
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10/20/2021
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Increasing amounts of freely available data both in textual and relation...
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07/22/2021
Evaluation of contextual embeddings on less-resourced languages
The current dominance of deep neural networks in natural language proces...
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06/30/2021
Cross-lingual alignments of ELMo contextual embeddings
Building machine learning prediction models for a specific NLP task requ...
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01/26/2021
Better sampling in explanation methods can prevent dieselgate-like deception
Machine learning models are used in many sensitive areas where besides p...
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12/08/2020
Cross-lingual Approach to Abstractive Summarization
Automatic text summarization extracts important information from texts a...
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11/24/2020
Enhancing deep neural networks with morphological information
Currently, deep learning approaches are superior in natural language pro...
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10/28/2020
Bayesian Methods for Semi-supervised Text Annotation
Human annotations are an important source of information in the developm...
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08/13/2020
MICE: Mining Idioms with Contextual Embeddings
Idiomatic expressions can be problematic for natural language processing...
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07/10/2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Hate speech is an important problem in the management of user-generated ...
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06/14/2020
FinEst BERT and CroSloEngual BERT: less is more in multilingual models
Large pretrained masked language models have become state-of-the-art sol...
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06/08/2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Data preprocessing is an important component of machine learning pipelin...
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05/15/2020
Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space
Word embeddings represent words in a numeric space in such a way that se...
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05/13/2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
Due to complex experimental settings, missing values are common in biome...
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05/12/2020
AttViz: Online exploration of self-attention for transparent neural language modeling
Neural language models are becoming the prevailing methodology for the t...
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11/22/2019
High Quality ELMo Embeddings for Seven Less-Resourced Languages
Recent results show that deep neural networks using contextual embedding...
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11/22/2019
Multilingual Culture-Independent Word Analogy Datasets
In text processing, deep neural networks mostly use word embeddings as a...
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09/16/2019
Prediction Uncertainty Estimation for Hate Speech Classification
As a result of social network popularity, in recent years, hate speech p...
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09/12/2019
Generating Data using Monte Carlo Dropout
For many analytical problems the challenge is to handle huge amounts of ...
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08/12/2019
Exploring the relations between net benefits of IT projects and CIOs' perception of quality of software development disciplines
Software development enterprises are under consistent pressure to improv...
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07/26/2019
Supervised and unsupervised neural approaches to text readability
We present a set of novel neural supervised and unsupervised approaches ...
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02/11/2019
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification
Complex networks are used as an abstraction for systems modeling in phys...
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06/17/2014
Identifying roles of clinical pharmacy with survey evaluation
The survey data sets are important sources of data and their successful ...
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03/28/2014
