Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach

09/09/2021
by   Alberto Barbado, et al.
6

Text classification tasks have improved substantially during the last years by the usage of transformers. However, the majority of researches focus on prose texts, with poetry receiving less attention, specially for Spanish language. In this paper, we propose a semi-supervised learning approach for inferring 21 psychological categories evoked by a corpus of 4572 sonnets, along with 10 affective and lexico-semantic multiclass ones. The subset of poems used for training an evaluation includes 270 sonnets. With our approach, we achieve an AUC beyond 0.7 for 76 for 60 through sentence embeddings, along with lexico-semantic and affective features, obtained by using external lexicons. Consequently, we see that this approach provides an AUC increase of up to 0.12, as opposed to using transformers alone.

READ FULL TEXT

page 7

page 13

page 14

page 15

page 16

research
05/28/2016

Muffled Semi-Supervised Learning

We explore a novel approach to semi-supervised learning. This approach i...
research
12/11/2020

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

We propose TabTransformer, a novel deep tabular data modeling architectu...
research
05/04/2017

Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning

Maximizing the area under the receiver operating characteristic curve (A...
research
07/29/2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Semi-supervised learning is pervasive in real-world applications, where ...
research
03/05/2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning

We propose a general approach to modeling semi-supervised learning (SSL)...
research
06/23/2019

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

Pathologists find tedious to examine the status of the sentinel lymph no...
research
11/26/2019

Semi-Supervised Learning for Text Classification by Layer Partitioning

Most recent neural semi-supervised learning algorithms rely on adding sm...

Please sign up or login with your details

Forgot password? Click here to reset