, Representación en componentes principales de las 50 palabras más similares a "Barcelona" generada con nuestro modelo Word2Vec en español, p.95

. .. Espacio-vectorial-de-salud-y-enfermedad, , p.96

. .. Espacio-vectorial-de-navegador-y-browser, , p.97

D. Del-modelo-sense2vec and . Trask, , p.99, 2015.

F. .. Del-conjunto-de-datos-de-prueba-en-catalán, , p.103

. .. , , vol.104

, Evaluación de predicciones de tema del modelo SVC en catalán, p.106

, Evaluación de predicciones de tema del modelo MLP en catalán, p.106

, Evaluación de predicciones de tema del modelo LR en catalán, p.107

, Evaluación de predicciones de tema del modelo SVC en español, p.107

, Evaluación de predicciones de tema del modelo MLP en español, p.108

, Evaluación de predicciones de tema del modelo LR en español, p.108

, Evaluación de predicciones de tema del modelo SVC en francés, p.109

, Evaluación de predicciones de tema del modelo MLP en francés, p.109

, Evaluación de predicciones de tema del modelo LR en francés, p.110

D. .. Página-principal-de,

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. Tabla and . .. Ns, , p.127

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. .. , Lista de posibles candidatos detectados en español, p.129

, Listado de palabras similares por candidato a NS en español, p.129

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, Listado de palabras similares por candidato a NS en catalán, p.131

. .. Lista, , p.132

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, Listado de palabras similares por candidato a NS en francés, p.133

, En resumen, las tres mejoras claves que podrían resultar en una plataforma más sólida serían: ? Seleccionar una metodología alternativa a TextRank para la extracción de precandidatos

, Implementar un modelo de clasificación de documentos con una arquitectura neuronal

, ? La adición de fuentes de conocimiento externo que complementen a los modelos de embeddings

, Líneas de investigación futuras A partir del análisis de las características intrínsecas de los neologismos semánticos, podemos mencionar dos líneas de investigación futuras: ? Análisis computacional de la metáfora como recurso para la creación de NS

, ? Creación de un modelo polisémico de representaciones vectoriales de palabras

. Veale, Bajo este nuevo supuesto, no basta que una palabra sea relevante dentro del texto que se analiza y que exista discordancia de temáticas del significado novedoso y convencional, sino que el contexto analizado debe contener un uso metafórico. En la actualidad, las metáforas se analizan desde distintas perspectivas computacionales (Shutova, 2010); ya sea partiendo del concepto de metáfora conceptual, desde otras perspectivas puramente computacionales. Estas últimas emplean métodos como el aprendizaje profundo, 2014.

;. Rosen and . Bizzoni, No obstante no se ha implementado el análisis de este tipo de figuras retóricas para la detección de neologismos. Como segunda línea de investigación, consideramos el desarrollo de modelos de embeddings polisémicos. Este tipo de acercamiento se encuentra en auge, para clasificar y detectar usos metafóricos de palabras y textos que pueden contener enunciados con expresiones metafóricas, 2016.

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