MIR-MU/WebMIaS

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Apache License 2.0
Created almost 9 years ago
Updated over 2 years ago

MIR-MU/WebMIaS

MIR-MU

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Provides a web interface for MIaS

ffmpeg-tensorflow

Dockerfile for FFMpeg with Libtensorflow

seqrep

Scientific framework for representation in sequential data

MathMLCan

Canonicalizes different MathML encodings of equivalent formulae

MIaS

Indexes text with math in Lucene/Solr-based full-text search engines

regularized-embeddings

Experimental code for the “Text classification with word embedding regularization and soft similarity measure” (Novotný et al., 2020) paper

Jupyter Notebook

pv211-utils

Utilities for the term project in the PV211 introduction to information retrieval course

pine

A python package that allows you to train, use, and evaluate position-independent word embeddings (PInE).

Jupyter Notebook

MIaSMath

Adds math processing capabilities to Lucene or Solr

MathMLUnificator

Generalizes distinct mathematical formulae so that they can be structurally unified

MathMLCanEval

Provides a web application for the evaluation of the MathML Canonicalizer

isbiased

A library to measure biases of question answering models.

Jupyter Notebook

ARQMath-data-preprocessing

Preprocessed ARQMath competition datasets

fasttext-optimizer

Suggests subword sizes for fastText language models using character n-gram frequency analysis.

Jupyter Notebook

regemt

Regressive ensemble for machine translation evaluation

Jupyter Notebook

CompuBERT

Adaptation of Transformers architecture to resolve ARQMath CLEF 2020 Competition: Answer Retrieval and Formula Search

Jupyter Notebook

ARQMath-eval

Evaluation of systems for the ARQMath competition

softalign_objectives

Implementation of ACL 2023's paper: Soft Alignment Objectives for Robust Adaptation of Language Generation