TajaKuzman

Achademio

AI assistant, based on the GPT-3.5 model by OpenAI, designed to enhance your proficiency in writing research papers. Allows you to adapt your content to academic standards, transform bullet points into eloquent text, or enhance the quality of your writing through error detection.

AGILE-Automatic-Genre-Identification-Benchmark

A benchmark for evaluating robustness of automatic genre identification models to test their usability for the automatic enrichment of large text collections with genre information.

Applying-GENRE-on-MaCoCu-bilingual

Cross-Lingual-and-Cross-Dataset-Experiments-with-Genre-Datasets

Hate-Speech-Classification

Classification of hate speech and implicitness of hate speech, using Transformer language models (BERT). This repository can be used as an introduction to text classification with BERT-like models.

IPTC-Media-Topic-Classification

Development of a multilingual IPTC Media Topic classifier for single-label topic classification of the 17 top-level topic labels from the IPTC Media Topic hierarchical schema.

NER-recognition

An evaluation of various encoder Transformer-based large language models on the named entity recognition task. The models are compared on 6 datasets, manually-annotated with named entitites.

pandachat-rag-benchmark

PandaChat-RAG benchmark for evaluation of RAG systems on a non-synthetic Slovenian test dataset.

Parlamint-translation

A pipeline for machine translation (using OPUS-MT models) of parliamentary text collections in 30+ languages (ParlaMint corpora). The pipeline includes parsing TEI XLM and CONLL-u files, linguistic processing with the Stanza pipeline, machine translation and word alignment with the Eflomal tool.

Topic-Classification-FastText-Transformers

Training and evaluating topic classification models (fastText and Transformer-based language models) for topic classification of Slovenian news texts. The repository can be used as a tutorial to learn topic classification.

TajaKuzman/Achademio

AI assistant, based on the GPT-3.5 model by OpenAI, designed to enhance your proficiency in writing research papers. Allows you to adapt your content to academic standards, transform bullet points into eloquent text, or enhance the quality of your writing through error detection.

TajaKuzman/AGILE-Automatic-Genre-Identification-Benchmark

A benchmark for evaluating robustness of automatic genre identification models to test their usability for the automatic enrichment of large text collections with genre information.

TajaKuzman/Topic-Classification-FastText-Transformers

Training and evaluating topic classification models (fastText and Transformer-based language models) for topic classification of Slovenian news texts. The repository can be used as a tutorial to learn topic classification.

TajaKuzman/IPTC-Media-Topic-Classification

Development of a multilingual IPTC Media Topic classifier for single-label topic classification of the 17 top-level topic labels from the IPTC Media Topic hierarchical schema.

TajaKuzman/Parlamint-translation

A pipeline for machine translation (using OPUS-MT models) of parliamentary text collections in 30+ languages (ParlaMint corpora). The pipeline includes parsing TEI XLM and CONLL-u files, linguistic processing with the Stanza pipeline, machine translation and word alignment with the Eflomal tool.

TajaKuzman/Hate-Speech-Classification

Classification of hate speech and implicitness of hate speech, using Transformer language models (BERT). This repository can be used as an introduction to text classification with BERT-like models.

TajaKuzman/Applying-GENRE-on-MaCoCu-bilingual

TajaKuzman/Cross-Lingual-and-Cross-Dataset-Experiments-with-Genre-Datasets

TajaKuzman/Crosslingual-Genre-Bias-Analysis

TajaKuzman/Genre-Datasets-Comparison

TajaKuzman/GINCO-Genre-Annotation-Guidelines

Genre Annotation Guidelines for GINCO corpora

TajaKuzman/NER-recognition

An evaluation of various encoder Transformer-based large language models on the named entity recognition task. The models are compared on 6 datasets, manually-annotated with named entitites.

TajaKuzman/pandachat-rag-benchmark

PandaChat-RAG benchmark for evaluation of RAG systems on a non-synthetic Slovenian test dataset.

TajaKuzman/Text-Representations-in-FastText

Analysing different text representations for genre identification. I parse CONLL-u files and extract various representations of a text (running text, lemmas, part-of-speech), then train a Fasttext model on each to see which representation is the most beneficial for the genre identification task.

TajaKuzman/machinetranslate.org

Open resources and community for machine translation

TajaKuzman/notion_widgets

A set of HTML widgets that could be embedded into Notion.so https://www.notion.so/ pages. For more see https://blog.shorouk.dev/notion-widgets-gallery/

TajaKuzman/Objectivity_Prediction_Web_App

A ML web app which detect objectivity of the text

TajaKuzman/semshift_esslli2023

Hands-on sessions for ESSLLI course "Computational approaches to semantic change detection"

TajaKuzman/Taja-Kuzman-Home-Page

Home page to Taja Kuzman's GitHub repository.

TajaKuzman/task7

Variety identification

TajaKuzman/tdm-notebooks

Example notebooks and tutorials from Constellate, the text analysis service from ITHAKA.

TajaKuzman/Transformers-GINCO-Experiments