A TV content augmentation system exploiting rule based named entity recognition method

Download

index.pdf

Date

2014

Author

Işıklar, Yunus Emre

Metadata

Show full item record

Item Usage Stats

191
views

362
downloads

In this thesis, a TV content augmentation system taking the advantage of named entity recognition methods is proposed. The system aims to automatically enhance TV program contents by retrieving context related data and presenting them to the viewers without any necessity of another device. In addition to conceptual description of the system, a prototype implementation is developed and demonstrated with predefined TV programs. The implementation utilizes Electronic Program Guide (EPG) data of programs crawled from web resources in order to extract named entities such as person names, locations, organizations, etc. For this purpose, a rule based Named Entity Recognition (NER) algorithm is developed for Turkish texts. Detailed information about the extracted entities is retrieved from Wikipedia after semantic disambiguation and its summarized form is presented to the users. A set of experiments have been conducted on two different data sets in order to evaluate the performance of the rule based NER algorithm and the behavior of the TV content augmentation system. The experimental results show that the content augmentation with NER methods is quite successful in TV domain especially for channels broadcasting news and series.

Subject Keywords

Semantics, Text processing (Computer science)., Named entity recognition., Electronic program guides (Television).

URI

http://etd.lib.metu.edu.tr/upload/12617830/index.pdf
https://hdl.handle.net/11511/24010

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A TV Content Augmentation System Exploiting Rule Based Named Entity Recognition Method Isiklar, Yunus Emre; Cicekli, Nihan (2015-09-24) This paper presents a TV content augmentation system that enhances the contents of TVprograms by retrieving context related data and presenting them to the viewers without the necessity of another device. The paper presents both the conceptual description of the system and a prototype implementation. The implementation utilizes program descriptions crawled from web resources in order to extract named entities such as person names, locations, organizations, etc. For this purpose, a rule based Named Entity Re...
A Display Processing Software Application Framework for Mission Computer Systems Kilinc, Ismail; Gezici, Görkem; Er, Emre; Baykal, Buyurman (2009-09-16) This paper describes a framework for display processing applications in C4ISR systems and discusses Havelsan's approach. Mission Computers in C4ISR systems need a framework for both mission processing and display processing applications to enhance productivity and robustness. Each framework has its own requirements and challenges. Our goal is to provide a general display processing framework for all kinds of mission computer applications.
A Cascadable Random Neural Network Chip with Reconfigurable Topology Badaroglu, Mustafa; Halıcı, Uğur; Aybay, Isik; Cerkez, Cuneyt (Oxford University Press (OUP), 2010-03-01) A digital integrated circuit (IC) is realized using the random neural network (RNN) model introduced by Gelenbe. The RNN IC employs both configurable routing and random signaling. In this paper we present the networking/routing aspects as well as the performance results of an RNN network implemented by the RNN IC. In the RNN model, each neuron accumulates arriving signals and can fire if its potential at a given instant of time is strictly positive. Firing occurs at random, the intervals between successive ...
A low-order nonlinear amplifier model with distributed delay terms YÜZER, AHMET HAYRETTİN; Demir, Şimşek (The Scientific and Technological Research Council of Turkey, 2014-01-01) In this paper, a novel behavioral modeling technique for the characterization of memory effects of amplifiers is proposed. This characterization utilizes asymmetric intermodulation distortion (IMD)components, which are the result of a 2-tone excitation of a nonlinear amplifier. These asymmetric IMD components are represented basically by a power series, where each term in the series has its own time delay term. These time delay terms successfully justify the presence of asymmetry in the intermodulation comp...
A hybrid named entity recognizer for Turkish Kucuk, Dilek; Yazıcı, Adnan (2012-02-15) Named entity recognition is an important subfield of the broader research area of information extraction from textual data. Yet, named entity recognition research conducted on Turkish texts is still rare as compared to related research carried out on other languages such as English, Spanish, Chinese, and Japanese. In this study, we present a hybrid named entity recognizer for Turkish, which is based on a manually engineered rule based recognizer that we have proposed. Since rule based systems for specific d...

Citation Formats

Y. E. Işıklar, “A TV content augmentation system exploiting rule based named entity recognition method,” M.S. - Master of Science, Middle East Technical University, 2014.