89 lines
3.0 KiB
Plaintext
89 lines
3.0 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Informacje ogólne"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Kontakt z prowadzącym\n",
|
|
"\n",
|
|
"prowadzący: mgr inż. Jakub Pokrywka\n",
|
|
"\n",
|
|
"Najlepiej kontaktowąć się ze mną przez MS TEAMS na grupie kanału (ogólne sprawy) lub w prywatnych wiadomościach. Odpisuję co 2-3 dni. Można też umówić się na zdzwonko w godzinach dyżuru (wt 12.00-13.00) lub umówić się w innym terminie.\n",
|
|
"\n",
|
|
"\n",
|
|
"## Literatura\n",
|
|
"Polecana literatura do przedmiotu:\n",
|
|
"\n",
|
|
"\n",
|
|
"- https://www.manning.com/books/relevant-search#toc (darmowa) Polecam chociaż przejrzeć.\n",
|
|
"- Marie-Francine Moens. 2006. Information Extraction: Algorithms and Prospects in a Retrieval Context. Springer. (polecam mniej, jest trochę nieaktualna)\n",
|
|
"- Alex Graves. 2012. Supervised sequence labelling. Studies in Computational Intelligence, vol 385. Springer. Berlin, Heidelberg. \n",
|
|
"\n",
|
|
"- Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. North American Association for Computational Linguistics (NAACL). \n",
|
|
"\n",
|
|
"- Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research vol 21, number 140, pages 1-67. \n",
|
|
"\n",
|
|
"- Flip Graliński, Tomasz Stanisławek, Anna Wróblewska, Dawid Lipiński, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemysław Biecek. 2020. Kleister: A novel task for information extraction involving long documents with complex layout. URL https://arxiv.org/abs/2003.02356 \n",
|
|
"\n",
|
|
"- Łukasz Garncarek, Rafał Powalski, Tomasz Stanisławek, Bartosz Topolski, Piotr Halama, Filip Graliński. 2020. LAMBERT: Layout-Aware (Language) Modeling using BERT. URL https://arxiv.org/pdf/2002.08087 \n",
|
|
"\n",
|
|
"## Zaliczenie\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"Do zdobycia będzie conajmniej 600 punktów.\n",
|
|
"\n",
|
|
"Ocena:\n",
|
|
"\n",
|
|
"- -299 — 2\n",
|
|
"\n",
|
|
"- 300-349 — 3\n",
|
|
"\n",
|
|
"- 350-399 — 3+\n",
|
|
"\n",
|
|
"- 400-449 — 4\n",
|
|
"\n",
|
|
"- 450—499 — 4+\n",
|
|
"\n",
|
|
"- 500- — 5\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|