Natural Language Processing (NLP) is a research field where a language in consideration
is processed to understand its syntactic, semantic, and sentimental aspects. The …

Skills extraction is a critical task when creating job recommender systems. It is also useful for
building skills profiles and skills knowledge bases for organizations. The aim of skills …

Question classification is one of the essential tasks for automatic question answering
implementation in natural language processing (NLP). Recently, there have been several …

Studying food recipes is indispensable to understand the science of cooking. An essential
problem in food computing is the adaptation of recipes to user needs and preferences. The …

The choice of the corpus on which word embeddings are trained can have a sizable effect
on the learned representations, the types of analyses that can be performed with them, and …

Most companies struggle to find and extract relevant information from their technical
documents. In particular, the Oil and Gas (O&G) industry faces the challenge of dealing with …

Introduction Taxonomies capture knowledge about a particular domain in a succinct manner
and establish a common understanding among peers. Researchers use taxonomies to …

With the advent of the Big Data era, it is usually computationally expensive to calculate the
resource usages of a SQL query with traditional DBMS approaches. Can we estimate the …

About 40% of software bug reports are duplicates of one another, which pose a major
overhead during software maintenance. Traditional techniques often focus on detecting …

This work focuses on Portuguese Named Entity Recognition (NER) in the Geology domain.
The only domain-specific dataset in the Portuguese language annotated for NER is the …