Terminology extraction: an analysis of linguistic and statistical approaches
An overview of graph-based keyword extraction methods and approaches
Term extraction: A Review
Automatic Keyphrase Extraction: A Survey of the State of the Art
Statistical Approaches:
Domain-Specific Term Extraction and Its Application in Text Classification
Term extraction using non-technical corpora as a point of leverage
An Unsupervised Approach to Domain-Specific Term Extraction
Linguistic/Semantics-based approaches:
TextRank:Bringing Order into Texts
SemanticRank: Ranking Keywords and Sentences Using Semantic Graphs
Proposed Pipeline/Targets Achieved
Removal of stopwords and other unnecessary characters like punctuation (DONE)
POS-tagging to get only nouns, verbs and adjectives. (DONE)
Keeping remaining words as domain-relevant labels, removing any irrelevant words from them manually. This will become the label set for evaluation. (IN PROGRESS)
Actual domain term extraction, analysis of approaches.
Evaluation, further work/corrections
Future Work
Exploring approaches - graph-based, statistics and linguistics-based, aspect-based
