Recent work has shown that NLP tasks such as Relation Extraction (RE) can be recasted as
Textual Entailment tasks using verbalizations, with strong performance in zero-shot and few …

Zusammenfassung n this paper, we propose a new system called WannaDB that allows
users to interactively perform structured explorations of text collections in an ad-hoc manner …

Cross-lingual transfer-learning is widely used in Event Extraction for low-resource
languages and involves a Multilingual Language Model that is trained in a source language …

Relation triple extraction, which outputs a set of triples from long sentences, plays a vital role
in knowledge acquisition. Large language models can accurately extract triples from simple …

Language Models are the core for almost any Natural Language Processing system
nowadays. One of their particularities is their contextualized representations, a game …

Deep Learning has made tremendous progress in Natural Language Processing (NLP),
where large pre-trained language models (PLM) fine-tuned on the target task have become …

With the rise in larger language models, researchers started exploiting them by pivoting the
downstream tasks as language modeling tasks using prompts. In this work, we convert the …

This study investigates the application of a state-of-the-art zero-shot and few-shot natural
language processing (NLP) technique for text classification tasks in Catalan, a moderately …

Abstract The goal of Natural Language Understanding (NLU) is to develop systems that
have the capability to understand the meaning of human language. Whether an event …

Despite its importance, accessing information in storage systems or raw data is challenging
or impossible for most people due to the sheer amount and heterogeneity of data as well as …