17 citations · 46 across the 12 of their papers we have counts for
13 papers · 1 filter
IberBench: LLM Evaluation on Iberian Languages
José Ángel González, Ian Borrego Obrador, Álvaro Romo Herrero +4
Large Language Models (LLMs) remain difficult to evaluate comprehensively, particularly for languages other than English, where high-quality data is often limited. Existing benchma…
TextMachina: Seamless Generation of Machine-Generated Text Datasets
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador
Recent advancements in Large Language Models (LLMs) have led to high-quality Machine-Generated Text (MGT), giving rise to countless new use cases and applications. However, easy ac…
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador +3
This paper presents the overview of the AuTexTification shared task as part of the IberLEF 2023 Workshop in Iberian Languages Evaluation Forum, within the framework of the SEPLN 20…
Programming by Example and Text-to-Code Translation for Conversational Code Generation
Eli Whitehouse, William Gerard, Yauhen Klimovich +1
Dialogue systems is an increasingly popular task of natural language processing. However, the dialogue paths tend to be deterministic, restricted to the system rails, regardless of…
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
Angelo Basile, Marc Franco-Salvador, Paolo Rosso
Zero-shot text classifiers based on label descriptions embed an input text and a set of labels into the same space: measures such as cosine similarity can then be used to select th…
Zero and Few-shot Learning for Author Profiling
Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén +2
Author profiling classifies author characteristics by analyzing how language is shared among people. In this work, we study that task from a low-resource viewpoint: using little or…
Active Few-Shot Learning with FASL
Thomas Müller, Guillermo Pérez-Torró, Angelo Basile +1
Recent advances in natural language processing (NLP) have led to strong text classification models for many tasks. However, still often thousands of examples are needed to train mo…
Few-Shot Learning with Siamese Networks and Label Tuning
Thomas Müller, Guillermo Pérez-Torró, Marc Franco-Salvador
We study the problem of building text classifiers with little or no training data, commonly known as zero and few-shot text classification. In recent years, an approach based on ne…
Five Psycholinguistic Characteristics for Better Interaction with Users
Sanja Štajner, Seren Yenikent, Marc Franco-Salvador
When two people pay attention to each other and are interested in what the other has to say or write, they almost instantly adapt their writing/speaking style to match the other. F…
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering
Marc Franco-Salvador, Sudipta Kar, Thamar Solorio +1
In this work we describe the system built for the three English subtasks of the SemEval 2016 Task 3 by the Department of Computer Science of the University of Houston (UH) and the…
Semantically-informed distance and similarity measures for paraphrase plagiarism identification
Miguel A. Álvarez-Carmona, Marc Franco-Salvador, Esaú Villatoro-Tello +3
Paraphrase plagiarism identification represents a very complex task given that plagiarized texts are intentionally modified through several rewording techniques. Accordingly, this…
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
Goran Glavaš, Marc Franco-Salvador, Simone Paolo Ponzetto +1
Recognizing semantically similar sentences or paragraphs across languages is beneficial for many tasks, ranging from cross-lingual information retrieval and plagiarism detection to…
A Low Dimensionality Representation for Language Variety Identification
Francisco Rangel, Marc Franco-Salvador, Paolo Rosso
Language variety identification aims at labelling texts in a native language (e.g. Spanish, Portuguese, English) with its specific variation (e.g. Argentina, Chile, Mexico, Peru, S…