D3.1. Architecture and design of the platform

This document aims to establish the requirements and the technological basis and design of the PANACEA platform. These are the main goals of the document: - Survey the different technological approaches that can be used in PANACEA. - Specify some guidelines for the metadata. - Establish the requirements for the platform. - Make a Common Interface proposal for the tools. - Propose a format for the data to be exchanged by the tools (Travelling Object). - Choose the technologies that will be used to develop the platform. - Propose a workplan

D7.4 Third evaluation report. Evaluation of PANACEA v3 and produced resources

D7.4 reports on the evaluation of the different components integrated in the PANACEA third cycle of development as well as the final validation of the platform itself. All validation and evaluation experiments follow the evaluation criteria already described in D7.1. The main goal of WP7 tasks was to test the (technical) functionalities and capabilities of the middleware that allows the integration of the various resource-creation components into an interoperable distributed environment (WP3) and to evaluate the quality of the components developed in WP5 and WP6. The content of this deliverable is thus complementary to D8.2 and D8.3 that tackle advantages and usability in industrial scenarios. It has to be noted that the PANACEA third cycle of development addressed many components that are still under research. The main goal for this evaluation cycle thus is to assess the methods experimented with and their potentials for becoming actual production tools to be exploited outside research labs. For most of the technologies, an attempt was made to re-interpret standard evaluation measures, usually in terms of accuracy, precision and recall, as measures related to a reduction of costs (time and human resources) in the current practices based on the manual production of resources. In order to do so, the different tools had to be tuned and adapted to maximize precision and for some tools the possibility to offer confidence measures that could allow a separation of the resources that still needed manual revision has been attempted. Furthermore, the extension to other languages in addition to English, also a PANACEA objective, has been evaluated. The main facts about the evaluation results are now summarized

D7.1. Criteria for evaluation of resources, technology and integration.

This deliverable defines how evaluation is carried out at each integration cycle in the PANACEA project. As PANACEA aims at producing large scale resources, evaluation becomes a critical and challenging issue. Critical because it is important to assess the quality of the results that should be delivered to users. Challenging because we prospect rather new areas, and through a technical platform: some new methodologies will have to be explored or old ones to be adapted

D4.1. Technologies and tools for corpus creation, normalization and annotation

The objectives of the Corpus Acquisition and Annotation (CAA) subsystem are the acquisition and processing of monolingual and bilingual language resources (LRs) required in the PANACEA context. Therefore, the CAA subsystem includes: i) a Corpus Acquisition Component (CAC) for extracting monolingual and bilingual data from the web, ii) a component for cleanup and normalization (CNC) of these data and iii) a text processing component (TPC) which consists of NLP tools including modules for sentence splitting, POS tagging, lemmatization, parsing and named entity recognition

D4.5 Final Report on the Corpus Acquisition & Annotation subsystem and its components

PANACEA WP4 targets the creation of a Corpus Acquisition and Annotation (CAA) subsystem for the acquisition and processing of monolingual and bilingual language resources (LRs). The CAA subsystem consists of tools that have been integrated as web services in the PANACEA platform of LR production. D4.2 Initial functional prototype and documentation in T13 and D4.4 Report on the revised Corpus Acquisition & Annotation subsystem and its components in T23 provided initial and updated documentation on this subsystem, while this deliverable presents the final documentation of the subsystem as it evolved after the third development cycle of the project. The deliverable is structured as follows. The Corpus Acquisition Component (i.e. the Focused Monolingual and Bilingual Crawlers (FMC/FBC)) is described in section 2. The final list of tools for corpus normalization (cleaning and de-duplication) is detailed in section 3. Section 4 provides documentation on all NLP tools included in the subsystem. Due to its nature, this deliverable aggregates considerable parts of all previous WP4 deliverables. The main new additions include a) new functionalities for, among others, crawling strategy, de-duplication, and detection of parallel document pairs; and b) new NLP tools for syntactic analysis, named entity recognition, tweet processing and anonymization.Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologie