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In machine translation the co reference resolution has important significance. Without correct co-reference any translation has wrong interpretation. In this paper we investigated the type of antecedent for Hindi. We discussed the five values of this feature of antecedent. We analyzed 165 news items of Ranchi Express from EMILEE corpus of plain text. It consist 2382 sentences. Eight file of dialogue...
Sentiment Analysis is one of the significant issues in the area of natural language processing, computational linguistics and text mining. It has also become a potential research area in bibliographic search and opinion mining, which is our main focus in this paper. Sentiment analysis of citations on schema-based research contents, such as scientific articles and reports, may not only makes an appropriate...
We introduce in this paper a quantitative preference based argumentation system relying on ASPIC argumentation framework [1] and fuzzy set theory. The knowledge base is fuzzified to allow agents expressing their expertise (premises and rules) attached with grades of importance in the unit interval. Arguments are then attached with a strength score aggregating the importance expressed on their premises...
The paper describes the results of machine learning experiments with verb classification according to the Linguistic Category Model (LCM). The LCM typology is a well-established tool to measure language abstraction, linked to sentiment and applicable in sentiment-analysis related areas. Our goal is to create automated methods of recognizing LCM verb classes. The method, demonstrated in the Polish...
The ensemble application of the mind-state indicator (MSI) and intention awareness (IA) methodologies in linguistic metaphors offers insights on how the brain finds meaning in abstract expressions. In particular, IA and MSI are jointly exploited to provide concepts for sentic computing that can catalogue and analogically map ideas similar to that of the human brain. Since metaphors convey similarities,...
We consider the important problem of comprehensiveness of linguistic data summaries equated with linguistically quantified propositions in Zadeh's sense. Motivated by Michal-ski's [29] seminal approach to the comprehensiveness of data mining and machine learning results, with a clear emphasis on natural language, we advocate the use of linguistic summaries which provide a new quality and an exceptional...
This paper proposes a dynamic analysis approach developed for the verification of avionics software. The objective is to formally verify temporal properties on execution traces. The approach consists of three steps: computation of the necessary observation points in the program using static analysis, execution of the program and generation of the execution trace, verification of the temporal property...
When people engage in discussion or debate, they do not only use spoken language to position themselves in the course of interaction: they use their bodies as well. In this paper, we take a systematic, corpus-based, bottom-up linguistic approach rooted in gesture studies and interactional linguistics to account for the possible functions of two types of gesture during stance taking in the course of...
We study the possibility to extend the concept of linguistic data summaries employing the notion of bipolarity. Yager's linguistic summaries may be derived using a fuzzy linguistic querying interface. We look for a similar analogy between bipolar queries and the extended form of linguistic summaries. The general concept of bipolar query, and its special interpretation are recalled, which turns out...
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