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Joachim Wagner (jowagner)

jowagner

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Company:Dublin City University

Location:Dublin, Ireland

Home Page:https://www.computing.dcu.ie/~jwagner/

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Joachim Wagner's repositories

mtb-tri-training

Backup of gogs mtb-tri-training repo

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tbev-prediction

Treebank embedding vector prediction for out-of-domain dependency parsing

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ud-combination

Linear combination of UD basic parse trees for parser ensembles

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ELMoForManyLangs

Pre-trained ELMo Representations for Many Languages

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pdfcrack

An Advanced tool to Crack Any Password Protected PDF file. A very user friendly script especially for noob hackers.

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absa-rationale-eval

Evaluate rationales in the task of aspect-based sentiment analysis against manually annoated sentiment expressions

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acl-anthology

Data and software for building the ACL Anthology.

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btrfs-progs

Development of userspace BTRFS tools

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conll2018

CoNLL 2018 UD Shared Task

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f3

F3 - Fight Flash Fraud

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fast_align

Simple, fast unsupervised word aligner

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marian

Fast Neural Machine Translation in C++

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mosesdecoder

Moses, the machine translation system

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multilingual-parsing

Repository for paper submission to DeepLo Workshop 2019.

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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partclone

Partclone provides utilities to backup a partition smartly and it is designed for higher compatibility of the file system by using existing library.

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subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

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UD_English-EWT

English data

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udify

A single model that parses Universal Dependencies across all (75) languages.

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UDPipe-Future

CoNLL 2018 Shared Task Team UDPipe-Future

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uuparser

A transition-based parser for Universal Dependencies with BiLSTM word and character representations.

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uusegmenter

Universal segmenter based on the Universal Dependency framework, written by Y. Shao, Uppsala University

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XLM001

PyTorch original implementation of Cross-lingual Language Model Pretraining.

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