3 citations · 5 across the 4 of their papers we have counts for
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From Fake to Hyperpartisan News Detection Using Domain Adaptation
Răzvan-Alexandru Smădu, Sebastian-Vasile Echim, Dumitru-Clementin Cercel +2
Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and…
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Sebastian-Vasile Echim, Răzvan-Alexandru Smădu, Andrei-Marius Avram +2
Satire detection and sentiment analysis are intensively explored natural language processing (NLP) tasks that study the identification of the satirical tone from texts and extracti…
RoBERTweet: A BERT Language Model for Romanian Tweets
Iulian-Marius Tăiatu, Andrei-Marius Avram, Dumitru-Clementin Cercel +1
Developing natural language processing (NLP) systems for social media analysis remains an important topic in artificial intelligence research. This article introduces RoBERTweet, t…
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
Răzvan-Alexandru Smădu, George-Eduard Zaharia, Andrei-Marius Avram +3
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text rela…