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cipcippy

Twitter IR system for the TREC Microblog track.

cl-quant

funnelling

funnelling polylingual

getty_hierarchy

Python module in Rust to retrieve a Getty vocabulary hierarchy

learning-to-weight

A NN-based framework for learning to weight terms in text classification, along the lines of Supervised Term Weighting

lequa2022_scripts

LeQua2022 scripts (evaluation, format checker, and utilities)

lequa2024_scripts

LeQua2024 scripts (evaluation, format checker, and utilities)

mp-boost

MP-Boost++ is a C++ implementation of AdaBoost.MH and MPBoost, a multi-label-specific variant of AdaBoost that is more accurate and requires less iterations.

pydci

A Python implementation of the Distributional Correspondence Indexing algorithm

pydro

A Python reimplementation of the Distributional Random Oversampling method for binary text classification

quanet

A recurrent neural network for sentiment quantification.

quapy

A framework for Quantification written in Python

semeval2016-task4

This is the code used to produce the ISTI-CNR submission to semeval 2016 - task 4

sld-reassessment

Python code for the "A Critical Reassessmentof the Saerens-Latinne-Decaestecker Algorithmfor Posterior Probability Adjustment" paper

sld-visualization

Plots visualization website for the SLD experiments

sobigdata-dci

Implementation of the DCI transfer learning method for the SoBigData VRE

sobigdata-dci-datasets

Repository of demo datasets for the DCI transfer-learning method published on the SoBigData VRE

tensorflow-text2vis

A Tensorflow implementation of the Tex2Vis neural network, tha applies a new StochasticLoss criterion to learn a mapping from textual descriptions to images.

tern

Code and Resources for the Transformer Encoder Reasoning Network (TERN) - https://arxiv.org/abs/2004.09144

trip-maml

Trip-MAML is a Multi-Aspect Multi-Lingual dataset for aspect-oriented opinion mining annotated at the sentence-level, consisting of Tripadvisor hotel reviews in English, Italian, and Spanish.

word-class-embeddings

Refining pre-trained word embeddings with supervised word-label embeddings for Text Classification (by topic)