Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly,...

متن کامل

Using Markov Logic to Refine an Automatically Extracted Knowledge Base

A number of information extraction (IE) projects such as NELL and TextRunner seek to build a usable knowledge base from the rapidly growing amount of information on the web. However, these solutions use heuristic approaches to reasoning rather than sound probabilistic inference. In this paper, we present a method based on Markov logic for cleaning an automatically extracted knowledge base using...

متن کامل

DOCS: A Domain-Aware Crowdsourcing System Using Knowledge Bases

Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-hard problems, such as entity resolution and photo tagging. The crowd (or workers) have diverse qualities and it is important to effectively model a worker’s quality. Most of existing worker models assume that workers have the same quality on different tasks. In practice, however, tasks belong to a variety o...

متن کامل

Interactive Document Summarisation Using Automatically Extracted Keyphrases

This paper describes the Interactive Document Summariser (IDS). IDS provides dynamic control over document summary characteristics, such as length and topic focus, so that changes made by the user are instantly reflected in an on-screen summa y. ‘Summa y-in-context’ views allow users to move flexibly between summaries and their source documents. IDS adopts the technique of sentence extraction, ...

متن کامل

Sentiment Classification using Automatically Extracted Subgraph Features

In this work, we propose a novel representation of text based on patterns derived from linguistic annotation graphs. We use a subgraph mining algorithm to automatically derive features as frequent subgraphs from the annotation graph. This process generates a very large number of features, many of which are highly correlated. We propose a genetic programming based approach to feature constructio...

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

ژورنال

عنوان ژورنال: Computational Intelligence and Neuroscience

سال: 2017

ISSN: 1687-5265,1687-5273

DOI: 10.1155/2017/4092135