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Customized automatic corpus annotations using

AlvisNLP/ML

Robert Bossy, Mouhamadou Ba, Claire Nédellec

Mathématiques et Informatique Appliquées du Génome à l’Environnement – Bibliome

Institut National de la Recherche Agronomique

16 january 2017 / BLAH3

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Who we are

and what we do

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Part of the National Institute of Agronomical Research

Domains of interest: agriculture, food, biology, ecology,

sustainable development.

We are a reasearch team in a bioinformatics lab (MaIAGE).

Our specialties: NLP applied to biology, domain-specific

Knowledge Acquisition.

Our approach

Our research and developments always start with and support

applied services for end-users.

We make developments as generic and reusable as possible.

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Achievements

Software

AlvisAE: annotation editor.

TyDI: terminology and ontology editor.

AlvisIR: semantic search engine framework.

AlvisNLP/ML: corpus processing engine.

Projects

We joined the BioNLP Shared Task in 2011 (BB3 and SeeDev

tasks).

We are part of EU project OpenMinTeD:

I Objective: offer a text-mining infrastructure for researchers.

I Lessons could be drawn from this Hackathon.

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AlvisNLP/ML

what it is and how it works

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