Natural Language Feature Selection via Cooccurrence

Term Similarity and Weighting Framework for Text Representation

Expressiveness of natural language is a challenge for text representation since the same idea can be expressed in many different ways. Therefore, terms in a document should not be treated independently of one another since together they help to disambiguate and establish meaning. Term-similarity measures are often used to improve representation by capturing semantic relationships between terms....

A hybrid filter-based feature selection method via hesitant fuzzy and rough sets concepts

High dimensional microarray datasets are difficult to classify since they have many features with small number ofinstances and imbalanced distribution of classes. This paper proposes a filter-based feature selection method to improvethe classification performance of microarray datasets by selecting the significant features. Combining the concepts ofrough sets, weighted rough set, fuzzy rough se...

Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection

Semantic parsing, i.e., the automatic derivation of meaning representation such as an instantiated predicate-argument structure for a sentence, plays a critical role in deep processing of natural language. Unlike all other top systems of semantic dependency parsing that have to rely on a pipeline framework to chain up a series of submodels each specialized for a specific subtask, the one presen...

Simultaneous Feature Selection and Parameter Optimization for Memory-based Natural Language Processing

Automated feature discovery via sentence selection and source code summarization

Programs are, in essence, a collection of implemented features. Feature Discovery in software engineering is the task of identifying key functionalities that a program implements. Manual feature discovery can be time-consuming and expensive, leading to automatic feature discovery tools being developed. However, these approaches typically only describe features using lists of keywords, which can...