Browsing Facultad de Matemática, Astronomía, Física y Computación by Author "Teruel, Milagro"

Now showing items 1-6 of 6

    • Combining semi-supervised and active learning to recognize minority senses in a new corpus 

      Cardellino, Cristian Adrián; Teruel, Milagro; Alonso i Alemany, Laura (2015)
      In this paper we study the impact of combining active learning with bootstrapping to grow a small annotated corpus from a different, unannotated corpus. The intuition underlying our approach is that bootstrapping includes ...

    • Estudio de simplificación de oraciones con modelos actor-critic 

      Mazuecos Perez, Mauricio Diego (2019)
      La simplificación de oraciones es una tarea de Procesamiento del Lenguaje Natural que se centra en transformar escritos para que su gramática, estructura y palabras sean más sencillas de comprender, sin perder la semántica ...

    • Learning slowly to learn better : curriculum learning for legal ontology population 

      Cardellino, Cristian; Teruel, Milagro; Alonso Alemany, Laura; Villata, Serena (2017)
      In this paper, we present an ontology population approach for legal ontologies. We exploit Wikipedia as a source of manually annotated examples of legal entities. We align YAGO, a Wikipedia-based ontology, and LKIF, an ...

    • Legal NERC with ontologies, Wikipedia and curriculum learning 

      Cardellino, Cristian; Teruel, Milagro; Alonso Alemany, Laura; Villata, Serena (2017)
      In this paper, we present a Wikipediabased approach to develop resources for the legal domain. We establish a mapping between a legal domain ontology, LKIF (Hoekstra et al., 2007), and a Wikipediabased ontology, YAGO ...

    • Minería de argumentos con aprendizaje profundo y atención 

      González, David Ignacio (2019)
      En este trabajo agregamos un mecanismo de atención a una red neuronal del estado del arte, que consiste de una red BiLSTM con embeddings de caracteres y una capa de CRF. Este modelo no sólo ha sido previamente aplicado en ...

    • Reversing uncertainty sampling to improve active learning schemes 

      Cardellino, Cristian Adrián; Teruel, Milagro; Alonso i Alemany, Laura (2015)
      Active learning provides promising methods to optimize the cost of manually annotating a dataset. However, practitioners in many areas do not massively resort to such methods because they present technical difficulties and ...