CLARIN-NL - Semantics

German NER

root — Mon, 08 Apr 2019 08:39:13 +0000

CLARIN National Project

not specified

CLARIN centre

IMS: University of Stuttgart

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

development

Input Language

German

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

Person Name Recognizer

root — Mon, 08 Apr 2019 08:39:13 +0000

Description

person name recognizer and annotator for historical German (grammar optimized for journals and high precision) based on weighted finite state transducers

CLARIN National Project

not specified

CLARIN centre

BBAW: Berlin-Brandenburg Academy of Sciences and Humanities

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

production

Input Language

German

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

Metadata

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

Stanford Named Entity Recognizer

root — Mon, 08 Apr 2019 08:39:02 +0000

Description

Stanford NER is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names. This service includes the models provided by Stanford: CoNLL 2003, MUC, and a model that has the intersection of CoNLL and MUC labels and the union of their data.

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

development

Input Language

unclear

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

LDA Modelling

root — Mon, 08 Apr 2019 08:39:02 +0000

Description

Generate an LDA model from a list of documents and view the result with dfr-browser. The input should be a single text file containing multiple documents, each on a single line. The model is generated and an html file is returned which contains a link for viewing the model with dfr-browser. Parameters to the service are k (number of topics), pa (prune above percent), and pb (prune below percent).

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

topic model generation

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

development

Input Language

Language independent

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

Illinois Named Entity Recognizer

root — Mon, 08 Apr 2019 08:38:59 +0000

Description

This is a state of the art NER tagger that tags plain text with named entities. The newest version tags entities with the "classic" 4-label type set (people / organizations / locations / miscellaneous)

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

production

Input Language

unclear

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

OpenNLP Named Entity Recognizer

root — Mon, 08 Apr 2019 08:38:59 +0000

Description

OpenNLP Named Entity Recognizer

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

production

Input Language

Language independent

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

OpenNLP Externally Trained Named Entity Recognizer

root — Mon, 08 Apr 2019 08:38:59 +0000

Description

OpenNLP Named Entity Recognizer that uses an external OpenNLP model to annotate named entities.

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

development

Input Language

Language independent

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

German Named Entity Recognizer

root — Mon, 08 Apr 2019 08:38:59 +0000

Description

German Named Entity Recognizer trained based on maximum entropy approach using OpenNLP maxent library. Two models are available: one is trained on CoNLL2003 training set (conll), another one is trained on TuebaDZ corpus release 8 (tuebadz).

CLARIN National Project

not specified

CLARIN centre

SfS: Uni-Tuebingen

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

named entity recognition

Country

Germany

Tool Type

web service

Research Phase

Enriching Data

Tool status

production

Input Language

German

Access Contact

/mailto:/

Project Contact

/mailto:/

Creator Contact

/mailto:/

Source code

http://portal.clarin.nl/not%20specified

Resource

CMDI File Link

License

not specified

Inventory Scope

global

Distribution Type

not specified

TTNWW

root — Mon, 08 Apr 2019 08:38:55 +0000

Title

TTNWW - TST Tools for the Dutch Language as Web services in a Workflow

Description

TTNWW integrates and makes available existing Language Technology (LT) software components for the Dutch language that have been developed in the STEVIN and CGN projects. The LT components (for text and speech) are made available as web-services in a simplified workflow system that enables researchers without much technical background to use standard LT workflow recipes. The web services are available in two separate domains: "Text" and "Speech" processing. For "Text", workflows for the following functionality is offered by TTNWW: - Orthographic Normalisation using TICCLops (version CLARIN-NL 1.0); - Part of Speech Tagging, Lemmatisation, Chunking, limited Multiword Unit Recognition, and Grammatical Relation Assignment by Frog (Version 012.012); - Syntactic Parsing (including grammatical relation assignment, limited named entity recognition, and limited multiword unit recognition) by the Alpino Parser (version 1.3); - Semantic Annotation; - Named Entity Recognition; - Co-reference Assignment. For "Speech", the following workflows are offered: - Automatic Transcription of speech files using a Netherlands Dutch acoustic model; - Automatic Transcription of speech files using a Flemish Dutch acoustic model; - Conversion of the input speech file to the required sampling rate, followed by automatic transcription. The TTNWW services have been created in a Dutch and Flemish collaboration project building on the results of past Dutch and Flemish projects. The web services are partly deployed in the SURF-SARA BiG-Grid cloud or at CLARIN centres in the Netherlands and at CLARIN VL University partners. The architecture of the TTNWW portal consists out of several components and follows the principles of Service Oriented Architecture (SOA). The TTNWW GUI front-end is a Flex module that communicates with the TTNWW web-application which keeps track of the different sessions and knows which LT recipes are available. TTNWW communicates assigments (workflow specifications) to the WorkflowService that evaluates the requested workflow and requests the DeploymentSevice to start the required LT web-services. After initialization of the LT web-services, the workflow specification is sent to the Taverna Server, that takes further care of the workflow. To facilitate the process of wrapping applications that were originally designed as standalone applications into web services, the CLAM (Computational Linguistics Application Mediator) wrapper software allows for easy and transparent transformation of applications into RESTful web services. The CLAM software has extensively been used in the TTNWW project for both text and speech processing tools. With the exception of Alpino and MBSRL all web services work operate on CLAM wrappers. Given the number of web services involved in the TTNWW project and possibilities offered by the cloud environment the preferred method of delivering the web service installations was delivery of complete virtual machine images by the LT providers. These could be directly uploaded into the cloud environment and thus relieving the CLARIN centres nd LT providers from the original foreseen task of running the webservices themselves. A potential advantage of this method, that has not been exploited in the project yet, is that these images may be also be delivered directly to the end user so these can be run in a local configuration using virtualization software such as VMWare of VirtualBox. The workflow engine used in the project was Taverna. But build on top of this was a a number of selectable task recipes, following a task oriented approach in line with the premises that users with no or little technical expertise should be able to use the system. In this context, tasks are understood in terms of end results of processes such as semantic role labelling, pos tagging or syntactic analysis and ready-made workflows are constructed that can be readily used by the end user.

Project

TTNWW

CLARIN National Project

CLARIN-NL

CLARIN centre

Meertens/HuC

Research domain

Linguistics

Communication and Media Studies

History

Oral History

Linguistic Subject

discourse analysis

Orthography

Semantics

Syntax

Tool task

grammatical relation assignment

coreference resolution

corpus processing

dependency parsing

lemmatisation

multiword unit identification

named entity recognition

orthographic normalisation

part of speech tagging

semantic role labeling

chunking

parsing

speech recognition

speech transcription

tokenisation

up/down sampling

Country

Netherlands

Tool Type

web application

Research Phase

Enriching Data

Tool status

withdrawn

Input format

text/plain

audio/wav

Output format

text/xml

Input Language

Dutch

Access Contact

Daan Broeder

Project Contact

/mailto:Daan.Broeder@meertens.knaw.nl/

Creator Contact

/mailto:Daan.Broeder@meertens.knaw.nl/

Documentation

TTNWW handleiding

Source code

not specified

Original source

http://portal.clarin.nl/node/1964

Publications

Kemps-Snijders, M, Schuurman, I, Daelemans, W, Demuynck, K, Desplanques, B, Hoste, V, Huijbregts, M, Martens, J-P, Paulussen, H, Pelemans, J, Reynaert, M, Vandeghinste, V, van den Bosch, A, van denHeuvel, H, van Gompel, M, van Noord, G and Wambacq, P. 2017. TTNWW to the Rescue: No Need to Know How to Handle Tools and Resources. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 83–93. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.7. License: CC-BY 4.0

Resource

CMDI File Link

License

unknown

Inventory Scope

local

Cornetto

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

Cornetto: Combinatorial and Relational Network as Toolkit for Dutch Language Technology

Description

Cornetto is a lexical resource for the Dutch language which combines two resources with different semantic organisations: the Dutch Wordnet with its synset organisation and the Dutch Reference Lexicon which includes definitions, usage constraints, selectional restrictions, syntactic behaviours, illustrative contexts, etc. The Cornetto database contains over 92K lemmas and almost 120K word meanings. The Cornetto lexical resource for Dutch covers the most generic and central part of the language. Cornetto combines the structures of the Princeton Wordnet, some of the features from the FrameNet for English and the information on morphological, syntactic, semantic and combinatorial features of lexemes normally found in dictionaries. The Cornetto resource is compiled by combining and aligning two existing semantic resources for Dutch: the Dutch wordnet (DWN) and the Referentie Bestand Nederlands (RBN). Recently, the resource is revised and extended with sentiment values in the From Text to Political Positions project , and with semantic annotations in SONAR, CGN and texts from the Web in the DutchSemCor project. The Cornetto Lexical Resource consists of two large repositories of lexicon data: the lexical entry repository and the synset repository. A Lexical Entry (LE) is a word-meaning pair (i.e. a single meaning of a certain word form), for which morphological, syntactical, semantical and combinatorial information is given. As such, LEs are word senses in the lexical semantic tradition, containing the linguistic knowledge that is needed to properly use the word in a specific meaning in a language. Since the LEs follow a word-to-meaning view, the semantical and combinatorial information for each meaning clarify the differences across the meanings. LEs focus on the polysemy of words and typically follow an approach to represent condensed and generalised meanings from which more specific ones can be derived. Each LE is aligned with a synset (set of synonyms) in the synset repository. As such, a synset can be seen as a set of LEs with the same meaning and every synset stands for a concept. The synsets in Cornetto are interconnected by different semantic relations such as hyponymy, antonymy and meronymy. The Cornet-to Resource is aligned with the English Wordnet, from which domain information was imported. The domains represent clusters of concepts that are related by a shared area of interest, such as sport, education or politics. The definitions of LEs from the same synset should be semantically equivalent and the LEs of a single word form should belong to different synsets. The LEs of a single word form typically differ in terms of connotation, pragmatics, syntax and semantics but synonymous words in the same synset can be differen-tiated along connotation, pragmatics and syntax but not semantics. This structure of the resource makes it possible to combine the very detailed information on form and usage of a specific LE or a group of LEs with the semantic relations which are specified in the corresponding synset(s). For an Open Source version lexico-semantic database for Dutch see the Open Source Dutch Wordnet (ODWN): http://wordpress.let.vupr.nl/odwn/

Project

Cornetto

CLARIN National Project

CLARIN-NL

CLARIN centre

Dutch Language Institute

Research domain

Linguistics

Linguistic Subject

Semantics

Tool task

dictionary searching

knowledge representation

visualisation

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Tool status

published

Output format

text/html

Input Language

Dutch

Access Contact

/mailto:servicedesk@ivdnt.org/

Institute for the Dutch Language

Project Contact

piek.vossen@vu.nl

Creator Contact

Prof. dr. Piek Vossen

Documentation

User Documentation of Cornetto LMF Lexical Resource for Dutch

Getting started with the Cornetto demo

Source code

not specified

Original source

http://portal.clarin.nl/node/1944

Publications

Vossen, P., I. maks, R. Segers, H. van der Vliet, M.F. Moens, K. Hofmann, E. Tjong Kim Sang, M. de Rijke (2013), Corntto: a lexical semantic database for Dutch, Chapter in: P. Spyns and J. Odijk (eds): Essential Speech and Language Technology for Dutch, Results by the STEVIN-programme, Publ. Springer series Theory and Applications of Natural Language Processing, ISBN 978-3-642-30909-0.

Vossen, P., I. Maks, R. Seegers and H. van der Vliet (2008). Integrating Lexical Units, Synsets, and Ontology in the Cornetto Database. In Proceedings of LREC-2008, Marrakech, Morocco.