Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …
NLP for the Greek language: A brief survey
K Papantoniou, Y Tzitzikas - 11th hellenic conference on artificial …, 2020 - dl.acm.org
There is a plethora of methods, tools and resources for processing text in the English
language, however this is not the case for other languages, like Greek. Due to the increasing …
language, however this is not the case for other languages, like Greek. Due to the increasing …
Aligning artificial neural networks and ontologies towards explainable AI
Neural networks have been the key to solve a variety of different problems. However, neural
network models are still regarded as black boxes, since they do not provide any human …
network models are still regarded as black boxes, since they do not provide any human …
Table-to-text: Describing table region with natural language
In this paper, we present a generative model to generate a natural language sentence
describing a table region, eg, a row. The model maps a row from a table to a continuous …
describing a table region, eg, a row. The model maps a row from a table to a continuous …
An introduction to ontology engineering
CM Keet - 2018 - open.uct.ac.za
Abstract An Introduction to Ontology Engineering is a free online textbook that provides an
overview of ontology engineering, including logics and automated reasoning, methods and …
overview of ontology engineering, including logics and automated reasoning, methods and …
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice
Explainable AI aims at building intelligent systems that are able to provide a clear, and
human understandable, justification of their decisions. This holds for both rule-based and …
human understandable, justification of their decisions. This holds for both rule-based and …
[LIBRO][B] Semantic modeling for data
P Alexopoulos - 2020 - books.google.com
What value does semantic data modeling offer? As an information architect or data science
professional, let's say you have an abundance of the right data and the technology to extract …
professional, let's say you have an abundance of the right data and the technology to extract …
Data ambiguity profiling for the generation of training examples
Several applications, such as text-to-SQL and computational fact checking, exploit the
relationship between relational data and natural language text. However, state of the art …
relationship between relational data and natural language text. However, state of the art …
Imitation learning for language generation from unaligned data
Natural language generation (NLG) is the task of generating natural language from a
meaning representation. Rule-based approaches require domain-specific and manually …
meaning representation. Rule-based approaches require domain-specific and manually …
Toward a knowledge-to-text controlled natural language of isiZulu
The language isiZulu belongs to the Nguni group of languages, which also include isiXhosa,
isiNdebele and siSwati. Of the four Nguni languages, isiZulu is the most dominant language …
isiNdebele and siSwati. Of the four Nguni languages, isiZulu is the most dominant language …