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Iacopo Ghinassi's Projects

arp_score icon arp_score

Average Relative Proximity metrics and experiments used in the paper "When Cohesion Lies in the Embedding Space: New Framework and Methodologies for Embedding-Based Reference-Free Metrics for Topic Segmentation".

audio-topic-segmentation icon audio-topic-segmentation

Repository for the paper "Exploring pre-trained Audio Neural Representations for Audio Topic Segmentation"

bad-boids icon bad-boids

A deliberately badly programmed implementation of Boids for teaching

certifai icon certifai

A python implementation of CERTIFAI framework for machine learning models' explainability as discussed in https://www.aies-conference.com/2020/wp-content/papers/099.pdf

deeptiling icon deeptiling

A TextTiling-based algorithm for text segmentation (aka topic segmentation) that uses neural sentence encoders, as well as extractive summarization and semantic search applications built on top of it.

digitrecogniser icon digitrecogniser

A very, very basic digit recogniser and gaussian calculators functions with basic Python

frequencyapp icon frequencyapp

Shiny app to discover and visualise the occurrences of words and/or word-sets (i.e. dictionaries) in given txt files (up to 5)

latin-ise-wsd icon latin-ise-wsd

A large scale automatic analysis of selected lemmas sense change across centuries based on the Latin-ISE corpus and the original BERT-based word sense disambiguation system by Bamman et al. (2020)

latinwsd icon latinwsd

Repository for Paper "Language Pivoting from Parallel Corpora for Word Sense Disambiguation of Historical Languages: a Case Study on Latin" presented at COLING-LREC 2024

multimodalsa icon multimodalsa

MultiModal Sentiment Analysis architectures for CMU-MOSEI.

multimodaltopicsegmentation icon multimodaltopicsegmentation

Repository implementing multimodal topic segmentation in the embedding space as described in the paper Multimodal Topic Segmentation with pre-trained Neural Encoders.

semanticegonetwork icon semanticegonetwork

codes to perform exploratory semantic network analysis on one concept of interest

semanticnetworkvizr icon semanticnetworkvizr

codes to perform semantic network analysis on multiple concepts (defined as multiple words-set, i.e. dictionaries) across multiple texts with R

textgeneration icon textgeneration

Qui c'รจ la ricetta di base per addestrare un nuovo modello neurale di generazione di testo partendo da testi arbitrari.

vq-vae_topic icon vq-vae_topic

An implementation of the paper [Vector-Quantization-Based Topic Modeling](https://dl.acm.org/doi/10.1145/3450946), providing a series of VQ-VAE models for topic modelling. The model reaches state-of-the-art performance on Ng20 and enables the extraction of dense topic vectors for downstream tasks.

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