Classified advertisements

Information extraction for classified advertisements

1. Abstract This report describes our work on the project part of the course Language Processing and Computational Linguistics. It presents a java written program that extracts six important pieces of information from French job advertisements. The inputs of the system are advertisements taken from the internet and converted as text files. The results presented in this paper show that the extra...

Recovering Structure from Unstructured Web-accessible Classified Advertisements

This paper describes a research prototype system called RFCA for structuring Web-accessible rental classified advertisements based on semantic content. A hand crafted parser is used to extract various facets of the rental property being advertised including amongst others; number of room, type of garage, dwelling type (unit, house, or high rise apartment), price and contact details. The perform...

Distributed Policy Specification and Interpretation with Classified Advertisements

In a distributed system, the principle of separation of policy and mechanism provides the flexibility to revise policies without altering mechanisms and vice versa. This separation can be achieved by devising a language for specifying policy and an engine for interpreting policy. In the Condor [14] high throughput distributed system the ClassAd language [16] is used to specify resource selectio...

Distributed Policy Management and Comprehension with Classified Advertisements

Distributed systems present new challenges to resource management, which cannot be met by conventional systems that employ relatively static resource models and centralized allocators. Matchmaking paradigms based on identifying compatible classified advertisements (ClassAds) placed by providers and requesters of services work well in such environments. Condor is a production-quality distributed...

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