_ygor_gallina's repositories

KPTimes

Repository for KPTimes corpus

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JCDL_2020_KPE_Eval

Repository containing code and results from the Large Scale Evaluation of Keyphrase Extraction Models, published in JCDL 2020.

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adventOfCode

A repo to (try) to master (almost) every AdventOfCode challenges

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Neologism_Detection

Work made as a project for a Natural Language course in Aix-Marseille Université

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pke

Python Keyphrase Extraction module

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Tagulous

Application to tag files with any operating system. Using QT and developped within an HMI course at Univ-Nantes.

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thesis_workspace

A workspace aimed at centralizing my research work.

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anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

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apertium-br-fr

Apertium translation pair for Breton and French

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apertium-python

now you can even use apertium from python

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arabish

Arabic Transliteration in Python

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clonedigger

This is a clone of the Python duplicate code detection tool from http://sourceforge.net/projects/clonedigger/

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deflog

Automatically exported from code.google.com/p/deflog

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django-haystack

Modular search for Django

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Edmonds-Blossom-Algorithm-OCaml

A try at implementing the Blossom algorithm for matching in arbitrary graphs.

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Emoticon_Regex

A regex that matches emoticons and kaomojis

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French_Deputies_db

Script that extract informations about french deputies from this website http://www2.assemblee-nationale.fr

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kettle_hack

Trying to hack a kettle in control target temperature

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lex-glue

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

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NumberFlashcards

Flashcard webapp to practive japanese numbers

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oldnyc

Mapping photos of Old New York

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PptxWriter

Generate pptx file automatically (overlay of python-pptx)

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pybrat

Parser for brat rapid annotation tool.

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redefining-absent-keyphrases

Code and dataset for the paper "Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness"

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taln-ls2n.github.io

Website of the TALN research group at LS2N lab

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TextCleanser

Normalizes lexically ill-formed text to its most likely clean text, e.g. "c u thr 2nite!" -> "see you there tonight!".

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