Providing high quality explanations for AI predictions based on machine
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Detecting and normalizing temporal expressions is an essential step for ...
Lemmatization is a Natural Language Processing (NLP) task which consists...
Nowadays the medical domain is receiving more and more attention in
appl...
In the absence of readily available labeled data for a given task and
la...
Given the impact of language models on the field of Natural Language
Pro...
Zero-resource cross-lingual transfer approaches aim to apply supervised
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The lack of wide coverage datasets annotated with everyday metaphorical
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The large majority of the research performed on stance detection has bee...
Parliamentary transcripts provide a valuable resource to understand the
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The vast majority of non-English corpora are derived from automatically
...
The growing interest in employing counter narratives for hatred interven...
Popular social media networks provide the perfect environment to study t...
Stance detection aims to determine the attitude of a given text with res...
Word embeddings and pre-trained language models allow to build rich
repr...
This paper presents a new technique for creating monolingual and
cross-l...
In this research note we present a language independent system to model
...
Talaia is a platform for monitoring social media and digital press. A
co...
This paper presents a supervised Aspect Based Sentiment Analysis (ABSA)
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This paper presents a simple, robust and (almost) unsupervised
dictionar...
In this paper we present an approach to extract ordered timelines of eve...
We present a multilingual Named Entity Recognition approach based on a r...