Virtual Linked Lexical Knowledge Base for Causality Reasoning

نویسنده

  • Key-Sun Choi
چکیده

The A virtually linked knowledge base is designed to utilize a pre-constructed knowledge base in a dynamic mode when it is in actual use. An algorithm is proposed for causality reasoning based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonym, and other features. These lexical knowledge bases have mainly made use of lexical features and symbols in HowNet. Several types of questions are experimented to test the effectiveness of the algorithm here proposed. In particular, questions of the form why are treated to show how causality reasoning works.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Question-Answering based on virtually integrated lexical knowledge base

This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonymy, and other features. These lexical knowledge bases have mainly made use of lexical features and symbols in HowNet. Several types of questions are experimented to test the effectiveness of the algor...

متن کامل

What Can Be Inferred Without Embracive World-Knowledge

This paper deals with a special type of automatic reasoning—a process of inference of new facts from a knowledge base. The presented type is not based on large embracive common-sense knowledge-base and wide-ranging ontology. Rather, it takes advantage of universal lexical database in the form of semantic network and also universal hypotheses that concern conversational implicatures.

متن کامل

Detecting and Explaining Causes From Text For a Time Series Event

Explaining underlying causes or effects about events is a challenging but valuable task. We define a novel problem of generating explanations of a time series event by (1) searching cause and effect relationships of the time series with textual data and (2) constructing a connecting chain between them to generate an explanation. To detect causal features from text, we propose a novel method bas...

متن کامل

An Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary. an Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary 1

This abstract describes an approach to extracting taxonomies from machine readable dictionaries and using them to structure a lexical knowledge base which incorporates default inheritance. Taxonomy construction is based on an intuitive notion of the organisation of the substantial quantities of data in machine readable dictionaries which were developed for quite independent purposes. Our intent...

متن کامل

Lexical Databases as a Base for Broad Coverage Ontologies

The paper deals with current lexical databases that are seen as a basis for broad-coverage general-purpose ontologies. Various extensions and refinements of existing multilingual lexical knowledge bases are proposed with the aim of improving the capabilities of these resources. The main goal lies in the effort to gain a better lexical knowledge representation, which is crucial to coping with th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of Chinese Language and Computing

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2003