Large language models have achieved high performance on various question answering
(QA) benchmarks, but the explainability of their output remains elusive. Structured …

Decision trees learning is one of the most practical classification methods in machine
learning, which is used for approximating discrete-valued target functions. However, they …

The purpose of this paper is to consider one of the most important modern technologies,
namely: Natural Language Processing (NLP) and the machine learning algorithms related to …

We propose an explainable approach for relation extraction that mitigates the tension
between generalization and explainability by jointly training for the two goals. Our approach …

Natural Language Processing (NLP) is one of the sub-parts of Artificial Intelligence which
normally focuses on empowering computers to understand and operate on human …

NLP can be defined as a process of automatic handling of human spoken languages by
computers. NLP is a vast research field linked to multiple areas like artificial intelligence …

Indian General Election 2019 was one of the major global political events. The prominence
of social media in contemporary life, and the ubiquity of political messaging on it has …

There are many methods and approaches used for manipulation of images. However,
according to the state of the art, the ones related to StyleGANs has shown better overall …

This paper describes the state of the art in the natural language processing area of
information retrieval. In particular, this paper considers effective approaches to extracting …

Performing complex reasoning has been a long-standing challenge in artificial intelligence
(AI). This thesis describes a class of AI systems designed to reason, extract knowledge, and …