From Building Corpora for Recognizing Faceted Entailment to Recognizing Relational Entailment
Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 16, Issue
Abstract
Recognizing textual entailment (RTE) became a well established and widely studied task. Partial textual entailment -- and faceted textual entailment in particular -- belong to tasks that are derived from RTE. Although there exist many annotated corpora for the original RTE problem, faceted textual entailment is in the sense of easy-accessible corpora highly neglected. In this paper, we present a semi-automatic approach to deriving corpora for faceted entailment task from a general RTE corpus using open information extraction (open IE) tools.
Authors and Affiliations
Martin Víta
Detection of Malicious Executables Using Rule Based Classification Algorithms
Machine Learning class rule has varied packages together with classification, clustering, will understand association rules furthermore and is capable of the method an enormous set of the information set as measure super...
"Passeport Vacances": an assignment problem with cost balancing
asseport Vacances is an offer for school-aged children to discover a set of activities during holidays. For more than 30 years, it has been an established social function in several countries, including Germany and Switz...
A Contemplating approach for Hive and Map reduce for efficient Big Data Implementation
In the reference current scenario, data is incremented exponentially and speed of data accruing at the rate of petabytes. Big data defines the available amount of data over the different media or wide communication media...
Representation Matters: An Unexpected Property of Polynomial Rings and its Consequences for Formalizing Abstract Field Theory
In this paper we develop a Mizar formalization of Kronecker's construction, which states that for every field $F$ and irreducible polynomial $p \in F[X]$ there exists a field extension $E$ of $F$ such that $p$ has a root...
Soccer object motion recognition based on 3D convolutional neural networks
Due to the development of video understanding and big data analysis research field using deep learning technique, intelligent machines have replaced the tasks that people performed in the past in various fields such as t...