Dependency-Based Semantic Parsing for Concept-Level Text Analysis

Abstract

Abstract. Concept-level text analysis is superior to word-level analysis as it preserves the semantics associated with multi-word expressions. It offers a better understanding of text and helps to significantly increase the accuracy of many text mining tasks. Concept extraction from text is a key step in concept-level text analysis. In this paper, we propose a ConceptNet-based semantic parser that deconstructs natural language text into concepts based on the dependency relation between clauses. Our approach is domain-independent and is able to extract concepts from heterogeneous text. Through this parsing technique, 92.21% accuracy was obtained on a dataset of 3,204 concepts. We also show experimental results on three different text analysis tasks, on which the proposed framework outperformed state-of-the-art parsing techniques.

Noun phrase based weghting scheme for sentence similarity measurement

“…It also enrich the study by [30] who wondered the role of NP in categorizing subjective sentences from objective sentences. It also adds to the previous effort by [31] who aimed at increasing the accuracy of text mining tasks with emphasis on concept extraction from text in concept-level text analysis. In addition, the finding of this study is inline with other previous works who addressed the potential of NP for various text similarity measures.…”

Extraction of Semantic Relations from Opinion Reviews in Spanish

“…Methods requiring complex resources included WordNet-based approaches, for example, [10] integrated semantic information using WordNet as external knowledge source for semantic relation extraction between nominals. Recently methods for heuristic identification of concepts based on dependency parsing were introduced [3,17,18,19]. Due to the interest to work with unsupervised methods, small collection of texts and because of the limited contexts in the opinion reviews in Spanish we decided to use lexico-syntactic patterns to acquire taxonomic relations from other resources as the Web.…”

Dish Classification using Knowledge based Dietary Conflict Detection

“…Among other approaches using a similar plot, (Poria et al, 2014) use ConceptNet (Liu and Singh, 2004) network for the semantic analysis task.…”