[HTML][HTML] Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …
opinions. However, existing research is solely based on the English language with limited …
Exploiting Open Data to analyze discussion and controversy in online citizen participation
In this paper we propose a computational approach that applies data mining techniques to
analyze the citizen participation recorded in an online digital platform. Differently to previous …
analyze the citizen participation recorded in an online digital platform. Differently to previous …
Argumentation models and their use in corpus annotation: Practice, prospects, and challenges
The study of argumentation is transversal to several research domains, from philosophy to
linguistics, from the law to computer science and artificial intelligence. In discourse analysis …
linguistics, from the law to computer science and artificial intelligence. In discourse analysis …
Deep sentiments in roman urdu text using recurrent convolutional neural network model
Although over 64 million people worldwide speak Urdu language and are well aware of its
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Structured persuasive writing support in legal education: A model and tool for German legal case solutions
We present an annotation approach for capturing structured components and arguments
inlegal case solutions of German students. Based on the appraisal style, which dictates the …
inlegal case solutions of German students. Based on the appraisal style, which dictates the …
Deep sentiments analysis for roman urdu dataset using faster recurrent convolutional neural network model
Urdu language is being spoken by over 64 million people and its Roman script is very
popular, especially on social networking sites. Most users prefer Roman Urdu over English …
popular, especially on social networking sites. Most users prefer Roman Urdu over English …
[HTML][HTML] Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Financial news items are unstructured sources of information that can be mined to extract
knowledge for market screening applications. They are typically written by market experts …
knowledge for market screening applications. They are typically written by market experts …
Argumentation mining in scientific literature for sustainable development
Science, technology and innovation (STI) policies have evolved in the past decade. We are
now progressing towards policies that are more aligned with sustainable development …
now progressing towards policies that are more aligned with sustainable development …
Can unsupervised knowledge transfer from social discussions help argument mining?
Identifying argument components from unstructured texts and predicting the relationships
expressed among them are two primary steps of argument mining. The intrinsic complexity …
expressed among them are two primary steps of argument mining. The intrinsic complexity …
[HTML][HTML] Global information-aware argument mining based on a top-down multi-turn QA model
B Liu, V Schlegel, P Thompson… - Information Processing …, 2023 - Elsevier
Argument mining (AM) aims to automatically generate a graph that represents the argument
structure of a document. Most previous AM models only pay attention to a single argument …
structure of a document. Most previous AM models only pay attention to a single argument …