Gate teamware download

Up to now, no single mechanism has been discovered that covers all cases, meaning that IE software has to support a wide spectrum of adaptation interventions, from skilled computational linguists through content administrators and technical authors to unskilled end-users providing behavioural exemplars. In each area significant research streams exist and have made good progress over the past decade or so.

What has not been done is to construct a unified environment in which all the different adaptation interventions work together in a complementary manner. In addition, underlying the adaptation process are automated measurement and visualisation tools, and frequency-based document search or information retrieval tools.

Teamware brings these methods and tools together and thus reduces the cost of Custom Extraction Services CuES to within the reach of a much larger set of applications. GATE has both a class library for programmers embedding LE in applications and a development environment for skilled language engineers. Teamware, however, has to support a wider constituency of users. There are two main cases. First, annotation of training data for learning algorithms should be a task requiring little skill beyond that of a computer-literate person because training data volumes are typically large and therefore the labour involved has to be cheap to make the process economic.

For the same reason the annotation environment should be made as productive as possible, for example by bootstrapping the annotation process with mixed-initiative learning and by providing a voting mechanism for multiple simultaneous annotators this is necessary to guarantee quality with low-skilled staff.

Second, data curation or systems administration staff may become involved in customising extraction systems. Extraction is not an application in itself, but a component of information seeking and management tasks. Despite the breadth and depth of literature describing algorithms, evaluation protocols and performance statistics for IE the technology lacks a clear statement of how to go about specifying and implementing IE functionality for a new task or domain.

In the same way that GATE is not just an implementation but also an abstract architecture, so Teamware can increase its impact by defining a methodology. Depending on the context, a user could have more than one profile, being for instance both Language Engineer and Information Curator. Annotators are in charge of annotating entities, relations or events on a set of documents with regard to an ontology or to a flat list of categories.

They must be able to access the documents remotely on the web. The annotated documents can be stored directly or used to bootstrap a Machine Learning system. The Annotator interface includes some information about the number of remaining documents to be annotated and a basic messaging system for interacting with an Information Curator.

Different Annotators may work on a single corpus in order to speed up the process of annotation. They may annotate the same documents, in order to make sure that the quality of the annotation is optimal, and to evaluate Annotator performance.

This means that once a document has been annotated manually, it will be used to generate a Machine Learning ML model. Authors: Advanced Search Include Citations. Keyphrases gate teamware collaborative text annotation framework user interaction additional software installation customisable user interface functionality human annotator external evaluation eu text annotation project ordinary web browser complex workflow complex corpus annotation project on-demand service internal project corpus annotation project user interface different user role several gold standard corpus annotator team.

Powered by:. GATE is free software, developed using public research funds. If you find it useful, don't keep it a secret! Thought for the day: did you know that if Walt Disney was working now, most of his films would be illegal? Since beta 1 of version 3 we have stabilised the system, and made all pre-release final changes. This RC1 release is for testing of the installation routines and backwards compatibility analysis. Please report all bugs and errors. This is the latest release is it not production quality.

The user guide. The developer documentation. The download page. For version 3 we decided that it was worthwhile making a few incompatible changes in order to clean up a few things that have caused trouble in previous versions.

For example: some recent classes have been renamed particularly the ontologies support classes and a few events added see below ; datastores created by version 3 will probably not read properly in version 2.

A big "thank you" to the following contributors of new code to this release please let me know if I missed you out!