17 citations · 46 across the 12 of their papers we have counts for
5 papers · 2 filters
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…