This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the corpus-based syntactic-semantic dependency layer, semantic dictionaries. The method, implemented as ConGraCNet application on different languages corpora, projects function onto particular syntactical layer constructs seed lexeme with collocates of high conceptual similari...

This paper describes an on-going project concerning with an ontological lexical resource based on the abundant conceptual information grounded on Chinese characters. The ultimate goal of this project is set to construct a cognitively sound and computationally effective character-grounded machine-understandable resource. Philosophically, Chinese ideogram has its ontological status, but its appli...

Automatic segmentation of text strings, in particular entity names, into structured records is often needed for efficient information retrieval, analysis, mining, and integration. Hidden Markov Model (HMM) has been shown as the state of the art for this task. However, previous work did not take into account the synonymy of words and their abbreviations, or possibility of their misspelling. In t...

The present work seeks to make the logographic nature of Chinese script a relevant research ground in wordnet studies. While wordnets are not so much about words as about the concepts represented in words, synset formation inevitably involves the use of orthographic and/or phonetic representations to serve as headword for a given concept. For wordnets of Chinese languages, if their synsets are ...

With its ever growing amount of user-generated content, the Web has become a trove of consumer information. The free text format in which most of this content is written, however, prevents straightforward analysis. Instead, natural language processing techniques are required to quantify the textual information embedded within text. This research focuses on extracting the sentiment that can be f...

A core ontology is a mid-level ontology which bridges the gap between an upper ontology and a domain ontology. Automatic Chinese core ontology construction can help quickly model domain knowledge. A graph based core ontology construction algorithm (COCA) is proposed to automatically construct a core ontology from an English-Chinese bilingual term bank. This algorithm computes the mapping streng...

In this paper we propose the codification of argument and event structures in wordnets, providing information on selection properties, semantic incorporation phenomena and internal properties of events, in what we claim to be an affordable procedure. We propose an explicit expression of argument structure, including default and shadow arguments, through three new relations and a new order featu...

Commonsense reasoning requires extensive knowledge. In order to be useful for practical artiicial intelligence problems, a knowledge base needs to have millions of concepts and relations. The nature of knowledge is such that even solutions to relatively small, narrow artiicial intelligence problems require a great deal of knowledge. Unfortunately, knowledge cannot be modularized or partitioned....

Literary analysis, criticism or studies is a largely valued field with dedicated journals and researchers which remains mostly within the humanities scope. Text analytics is the computer-aided process of deriving information from texts. In this article we describe a simple and generic model for performing literary analysis using text analytics. The method relies on statistical measures of: 1) t...

SentiWordNet is an important lexical resource supporting sentiment analysis in opinion mining applications. In this paper, we propose a novel approach to construct a Vietnamese SentiWordNet (VSWN). SentiWordNet is typically generated from WordNet in which each synset has numerical scores to indicate its opinion polarities. Many previous studies obtained these scores by applying a machine learni...