Datenschutzerklärung|Data Privacy
Impressum

03.06.2013
A. Akbik

Demo-paper "Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees" accepted at ACL 2013

Our paper "Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees", authored by √Ālan Akbik, Oresti Konomi and Michail Melnikov has been accepted for presentation at the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013) held in the National Palace of Culture, Sofia, Bulgaria.

Abstract

The use of deep syntactic information such as typed dependencies has been shown to be very effective in Information Extraction. Despite this potential, the process of manually creating rule-based information extractors that operate on dependency trees is not intuitive for persons without an extensive NLP background. In this system demonstration, we present a tool and a workflow designed to enable initiate users to interactively explore the effect and expressivity of creating Information Extraction rules over dependency trees. We introduce the proposed five step workflow for creating information extractors, the graph query based rule language, as well as the core features of the PROPMINER tool.