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Found 23 papers, 4 papers with code
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
In this work we show that entailment is also effective in Event Argument Extraction (EAE), reducing the need of manual annotation to 50% and 20% in ACE and WikiEvents respectively, while achieving the same performance as with full training.
Ranked #1 on
Event Argument Extraction
on WikiEvents
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
We have used our dataset with the largest available open LLMs in a zero-shot approach to grasp their generalization and inference capability and we have also fine-tuned some of the models to assess whether the understanding of negation can be trained.
MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment
In this paper, we present the MultiAzterTest tool: (i) an open source NLP tool which analyzes texts on over 125 measures of cohesion, language, and readability for English, Spanish and Basque, but whose architecture is designed to easily adapt other languages; (ii) readability assessment classifiers that improve the performance of Coh-Metrix in English, Coh-Metrix-Esp in Spanish and ErreXail in Basque; iii) a web tool.
Validating WordNet Meronymy Relations using Adimen-SUMO
In this paper, we report on the practical application of a novel approach for validating the knowledge of WordNet using Adimen-SUMO.
Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning
In this paper, we investigate the application of the Closed World Assumption (CWA) to enable a better exploitation of FOL ontologies by using state-of-the-art automated theorem provers.
Verbal Multiword Expressions in Basque Corpora
This paper presents a Basque corpus where Verbal Multiword Expressions (VMWEs) were annotated following universal guidelines.
A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque
In this paper, we present a comparative analysis of statistically predictive syntactic features of complexity and the treatment of these features by humans when simplifying texts.
Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis
Our final objective is the extraction of some guidelines towards a better exploitation of this commonsense knowledge framework by the improvement of the included resources.
LagunTest: A NLP Based Application to Enhance Reading Comprehension
The ability to read and understand written texts plays an important role in education, above all in the last years of primary education.
Towards modelling SUMO attributes through WordNet adjectives: a Case Study on Qualities
In this context, we propose a new semi-automatic approach to model the knowledge about properties and attributes in SUMO by exploiting the information encoded in WordNet adjectives and its mapping to SUMO.
Exploring the Enrichment of Basque WordNet with a Sentiment Lexicon
Wordnets are lexical databases where the semantic relations of words and concepts are established.
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
Language resources are necessary for language processing, but building them is costly, involves many researches from different areas and needs constant updating.
What is on Social Media that is not in WordNet? A Preliminary Analysis on the TwitterAAE Corpus
Natural Language Processing tools and resources have been so far mainly created and trained for standard varieties of language.
Textual genre based approach to use WordNet in language-for-specific-purpose classroom as dictionary
When teaching language for specific purposes (LSP) linguistic resources are needed to help students understand and write specialised texts.
A Syntax-Aware Edit-based System for Text Simplification
Edit-based text simplification systems have attained much attention in recent years due to their ability to produce simplification solutions that are interpretable, as well as requiring less training examples compared to traditional seq2seq systems.
Noisy Channel for Automatic Text Simplification
In this paper we present a simple re-ranking method for Automatic Sentence Simplification based on the noisy channel scheme.
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings.
Easy-to-Read in Germany: A Survey on its Current State and Available Resources
Plain Language (PL), on the other hand, is a variant of a given language, which aims to promote the use of simple language to communicate information.
