tabilab-dip Goto Github PK

backend-proxy

boun-pars

clarin-dspace

clarin-dspace digital repository based on DSpace and LINDAT/CLARIN DSpace

demo-frontend

Frontend application for the tool demos

dip-docs

Docs for the DIP project

dip-setup

Dockerfiles for the tabilab-dip system

dip-spec-test

ermi

An embedding-rich Bidirectional LSTM-CRF model for Verbal Multiword Expression identification

joint-ner-and-md-tagger

This repo contains the software that was used to conduct the experiments reported in our article titled "Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags" [1] to be presented at COLING 2018.

lindat-aai-discovery

lindat-common

Common files and branding for Lindat projects

morphological_parser_sak

Morphological Parser and Disambiguator with Python Bindings

react-jsonschema-formbuilder

sentiment-embeddings

In this project, word and document embeddings are generated for the sentiment classification task.

turkish-deasciifier

Turkish deasciifier in Python based on Deniz Yüret's turkish-mode for Emacs

turku-neural-parser-pipeline-bpars

A neural parsing pipeline for segmentation, morphological tagging, dependency parsing and lemmatization with pre-trained models for more than 50 languages. Top ranker in the CoNLL-18 Shared Task.