Search results for " language processing"
showing 10 items of 415 documents
Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked Sources
1999
In this paper we develop one way to represent and reason with temporal relations in the context of multiple experts. Every relation between temporal intervals consists of four endpoints’ relations. It is supposed that the context we know is the value of every expert competence concerning every endpoint relation. Thus the context for an interval temporal relation is one kind of compound expert’s rank, which has four components appropriate to every interval endpoints’ relation. Context is being updated after every new opinion is being added to the previous opinions about certain temporal relation. The context of a temporal relation collects all support given by different experts to all compon…
Reasoning with Multilevel Contexts in Semantic Metanetworks
2000
It is generally accepted that knowledge has a contextual component. Acquisition, representation, and exploitation of knowledge in context would have a major contribution in knowledge representation, knowledge acquisition, and explanation, as Brezillon and Abu-Hakima supposed in [Brezillon and Abu-Hakima, 1995]. Among the advantages of the use of contexts in knowledge representation and reasoning Akman and Surav [Akman and Surav, 1996] mentioned the following: economy of representation, more competent reasoning, allowance for inconsistent knowledge bases, resolving of lexical ambiguity and flexible entailment. Brezillon and Cases noticed however in [Brezillon and Cases, 1995] that knowledge-…
Introduction to semantic knowledge base: Linguistic module
2013
Following paper presents main concepts of Semantic Knowledge Base in particular linguistic module. The main assumption is to develop solution that would be easily adoptable by various languages. The module design will be presented in Association Oriented Model to maintain inner compatibility of the Knowledgebase.
Are there individual concepts? Proper names and individual concepts in SI—Nets
1989
We discuss some aspects of the role played by descriptional knowledge in expressions denoting individual objects. In knowledge representation systems such as KL-ONE and KRYPTON which use semantic networks to express descriptional information, the problem is to establish whether the use of individual concepts in a network is justified. In the light of theoretical and applicational considerations, in the proposed solution only definite descriptions are considered as being characterizable by means of definitions. Vice versa, proper names, in the strict sense, will be treated as having no definitional dimension, and as such only appear in the assertional knowledge base. A description is given o…
Language Detection and Tracking in Multilingual Documents Using Weak Estimators
2010
Published version of an article from the book: Structural, Syntactic, and Statistical Pattern Recognition . The original publication is available at Spingerlink. http://dx.doi.org/DOI: 10.1007/978-3-642-14980-1_59 This paper deals with the extremely complicated problem of language detection and tracking in real-life electronic (for example, in Word-of-Mouth (WoM)) applications, where various segments of the text are written in different languages. The difficulties in solving the problem are many-fold. First of all, the analyst has no knowledge of when one language stops and when the next starts. Further, the features which one uses for any one language (for example, the n-grams) will not be…
Embedded controlled language to facilitate information extraction from eGov policies
2015
The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.
THE USE OF WEAK ESTIMATORS TO ACHIEVE LANGUAGE DETECTION AND TRACKING IN MULTILINGUAL DOCUMENTS
2013
This paper deals with the problems of language detection and tracking in multilingual online short word-of-mouth (WoM) discussions. This problem is particularly unusual and difficult from a pattern recognition perspective because, in these discussions, the participants and content involve the opinions of users from all over the world. The nature of these discussions, consisting of multiple topics in different languages, presents us with a problem of finding training and classification strategies when the class-conditional distributions are nonstationary. The difficulties in solving the problem are many-fold. First of all, the analyst has no knowledge of when one language stops and when the…
The hidden side of adverbs
2018
This paper will address the predicative nature of manner adverb(ial)s and of three types of sentence adverbs (subject-oriented, modal, and evaluative) in Italian. Predication often becomes overt by means of morphological correlates. Is it possible to find any such evidence with invariable adverbs? To unveil their predicative nature, a procedure will be suggested in which two sentences, one with a -mente adverb, the other with its cognate adjective (a) share the content morphemes (identity of the signifiant) and (b) entail each other (identity of the signifié as regards semantic roles). A number of such pairs will be discussed, examples of which include: Intelligentemente, Leo intervenne ‘Cl…
Genus im DaF-Unterricht in Italien: Was sagen Lehrwerke und Grammatiken?
2011
For foreign language students gender seems to be a great problem. This article about the teachability and learnability of German gender wants to show what Italian students learn about it and how they do so (and also how they could do it better).
Convergence of Web 2.0 and Semantic Web: A Semantic Tagging and Searching System for Creating and Searching Blogs
2007
The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data- driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "sub- symbolic semantic layer" automaticall…