nrw.social ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Wir sind eine freundliche Mastodon Instanz aus Nordrhein-Westfalen. Ob NRW'ler oder NRW-Sympathifanten, jeder ist hier willkommen.

Serverstatistik:

2,8 Tsd.
aktive Profile

#spacy

1 Beitrag1 Beteiligte*r0 Beiträge heute
Lex<p><span class="h-card" translate="no"><a href="https://mastodonapp.uk/@ancientsounds" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ancientsounds</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/linguistics" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>linguistics</span></a></span> Thanks, but I'm more looking for <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> tools like for example, looks like <a href="https://mastodon.social/tags/Spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Spacy</span></a> supports <a href="https://mastodon.social/tags/Finnish" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finnish</span></a> <a href="https://spacy.io/usage/models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">spacy.io/usage/models</span><span class="invisible"></span></a> but not <a href="https://mastodon.social/tags/Turkish" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Turkish</span></a></p>
@frueheneuzeit<p><a href="https://fedihum.org/tags/til" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>til</span></a> the German transformer model for <a href="https://fedihum.org/tags/spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spacy</span></a> is not trained for <a href="https://fedihum.org/tags/ner" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ner</span></a>. Room for improvement, I'd say.</p>
Dr Power Nap, DDS ✅️<p><span class="h-card" translate="no"><a href="https://mefi.social/@MissConstrue" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>MissConstrue</span></a></span> <span class="h-card" translate="no"><a href="https://masto.ai/@unusual_whales" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>unusual_whales</span></a></span> </p><p>I was working on an LLM bot to track market mood, their data would be a huge boost.</p><p>Now its my turn to toot about <a href="https://spacy.io/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">spacy.io/</span><span class="invisible"></span></a></p><p><a href="https://mefi.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> <a href="https://mefi.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://mefi.social/tags/diyllm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>diyllm</span></a></p>
IB Teguh TM<p>Learn how to OCR a PDF in Python and boost your PDF text extraction. Our spaCy Layout tutorial covers every step for an efficient Python OCR workflow. <a href="https://mastodon.social/tags/OCR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OCR</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> <a href="https://mastodon.social/tags/PDFExtraction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PDFExtraction</span></a> <a href="https://mastodon.social/tags/TechTutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechTutorial</span></a></p><p><a href="https://teguhteja.id/ocr-a-pdf-in-python-spacy-layout-tutorial/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">teguhteja.id/ocr-a-pdf-in-pyth</span><span class="invisible">on-spacy-layout-tutorial/</span></a></p>
Cheuk Ting Ho<p>Start the <a href="https://fosstodon.org/tags/PyConWeb25" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyConWeb25</span></a> with keynote by Ines Montani - founder of <a href="https://fosstodon.org/tags/SpaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpaCy</span></a> and <a href="https://fosstodon.org/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> expert - she is one of the coolest person I know in <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> community</p>
Alexandre B A Villares 🐍<p>"Estáticas básicas de texto com <a href="https://ciberlandia.pt/tags/Polars" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Polars</span></a> e <a href="https://ciberlandia.pt/tags/Spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Spacy</span></a> - <a href="https://ciberlandia.pt/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> 03 " <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://www.youtube.com/watch?v=FgsdmxILSFo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=FgsdmxILSF</span><span class="invisible">o</span></a></p>
Talk Python Podcast<p>We are giving away a couple of awesome illustrated guides for working with <a href="https://fosstodon.org/tags/spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spacy</span></a>. All you have to do to enter is give us your name and email for the drawing. If you want to do cool things with text and <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a>, enter here. cc <span class="h-card" translate="no"><a href="https://sigmoid.social/@ines" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ines</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@mkennedy" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mkennedy</span></a></span> </p><p><a href="https://forms.gle/VQomtUeGALz3zt6M6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">forms.gle/VQomtUeGALz3zt6M6</span><span class="invisible"></span></a></p>
e-editiones<p>now <a href="https://social.e-editiones.org/tags/NER" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NER</span></a> via <a href="https://social.e-editiones.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> and how the Annotations user interface is utilised to review potential matches and to do bulk updates for entities. She continues with connectors to authority provider like <a href="https://social.e-editiones.org/tags/Airtable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Airtable</span></a>, <a href="https://social.e-editiones.org/tags/Wikidata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wikidata</span></a> and others.</p>
EuroSciPy<p>🌟 Excited to announce that Ines Montani <span class="h-card" translate="no"><a href="https://sigmoid.social/@ines" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ines</span></a></span>, co-founder of <span class="h-card" translate="no"><a href="https://sigmoid.social/@explosion" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>explosion</span></a></span> and core developer of 💫 <a href="https://fosstodon.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a>, will be delivering a keynote at <a href="https://fosstodon.org/tags/EuroSciPy2024" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroSciPy2024</span></a>! 🚀</p><p>Ines will share insights from "10 Years of Open Source: Navigating the Next AI Revolution," exploring how open source and interoperability continue to shape the future of AI and NLP.</p><p>Get your ticket: <a href="https://ow.ly/KgbA50SU5gC" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ow.ly/KgbA50SU5gC</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroSciPy</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenSource</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NaturalLanguageProcessing</span></a></p>
Tatu Leppämäki<p>This work wouldn’t exist without a host of <a href="https://mstdn.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FOSS</span></a> tools and the hard work that goes into them. To name a few: <a href="https://mstdn.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a>, Pelias, <span class="h-card" translate="no"><a href="https://fosstodon.org/@qgis" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>qgis</span></a></span>, (Geo)Pandas, LibreOffice suite, and <span class="h-card" translate="no"><a href="https://vis.social/@SankeyMATIC" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>SankeyMATIC</span></a></span>. Kudos to the developers and other contributors to these projects!</p>
Christof Schöch<p>[SOLVED] Please help, dear corpus and computational L friends! Is there a <a href="https://fedihum.org/tags/multilingual" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multilingual</span></a> <a href="https://fedihum.org/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> for <a href="https://fedihum.org/tags/TreeTagger" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TreeTagger</span></a>, even with a very basic tagset? </p><p>I would like to annotate lemma + POS in a <a href="https://fedihum.org/tags/corpus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>corpus</span></a> of short <a href="https://fedihum.org/tags/texts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>texts</span></a> in 3-4 European <a href="https://fedihum.org/tags/languages" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>languages</span></a> (mainly <a href="https://fedihum.org/tags/German" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>German</span></a>, <a href="https://fedihum.org/tags/English" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>English</span></a>, <a href="https://fedihum.org/tags/French" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>French</span></a>) within <a href="https://fedihum.org/tags/TXM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TXM</span></a>, a process that requires using TreeTagger. </p><p>I know I could do that with <a href="https://fedihum.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a>, selecting the right model for each text. But then I need to get those <a href="https://fedihum.org/tags/annotations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>annotations</span></a> into shape for import into TXM. </p><p><a href="https://fedihum.org/tags/EasyWayOut" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EasyWayOut</span></a>?</p>
Philip Kaufmann<p><span class="h-card" translate="no"><a href="https://mastodon.social/@tohidn" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tohidn</span></a></span> Ich fragte mich tatsächlich in Bezug auf Text-Normalizing, ob es da Unterschiede in den Herangehensweisen zw. Sprachen geben könnte. Ich kratze das Thema gerade erst an und spiele derzeit mit <a href="https://climatejustice.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> in <a href="https://climatejustice.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a>.</p>
Philip Kaufmann<p>Wer möchte mir ein gutes Tutorial empfehlen, um mit <a href="https://climatejustice.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> und deutschen Texten gutes <a href="https://climatejustice.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> zu machen? Ich würde gerne für meine <a href="https://climatejustice.social/tags/Masterarbeit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Masterarbeit</span></a> Interviews reinwerfen und denke über <a href="https://climatejustice.social/tags/NER" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NER</span></a>, <a href="https://climatejustice.social/tags/Sentiment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Sentiment</span></a>-Analysis und <a href="https://climatejustice.social/tags/Themenanalyse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Themenanalyse</span></a> nach. Pre-Processing Schritte wäre auch ein Topic. <a href="https://climatejustice.social/tags/DH" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DH</span></a> <a href="https://climatejustice.social/tags/Pyhthon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Pyhthon</span></a></p>
Annette von Stockhausen<p>Bookmarked: Corpus Analysis with spaCy | Programming Historian <a href="https://programminghistorian.org/en/lessons/corpus-analysis-with-spacy" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">programminghistorian.org/en/le</span><span class="invisible">ssons/corpus-analysis-with-spacy</span></a> <a href="https://fedihum.org/tags/spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spacy</span></a></p>
Annette von Stockhausen<p>Bookmarked: Erste Versuche mit der Named Entity Recognition am Reisebericht des Apothekers Wagener – Grand Tour digital <a href="https://grandtourdig.hypotheses.org/949" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">grandtourdig.hypotheses.org/94</span><span class="invisible">9</span></a> <a href="https://fedihum.org/tags/NER" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NER</span></a> <a href="https://fedihum.org/tags/Software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Software</span></a> <a href="https://fedihum.org/tags/deutsch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deutsch</span></a> <a href="https://fedihum.org/tags/spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spacy</span></a></p>
T. T. Perry<p>The author of <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> package SpaCy has some educational thoughts about LLMs and why they are not the end point of NLP (at least not yet).</p><p><a href="https://news.ycombinator.com/item?id=37443921" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.ycombinator.com/item?id=3</span><span class="invisible">7443921</span></a></p><p><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Spacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Spacy</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a></p>
Annette von Stockhausen<p>Bookmarked: odyCy <a href="https://centre-for-humanities-computing.github.io/odyCy/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">centre-for-humanities-computin</span><span class="invisible">g.github.io/odyCy/</span></a> <a href="https://fedihum.org/tags/Griechisch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Griechisch</span></a> <a href="https://fedihum.org/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://fedihum.org/tags/SpaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpaCy</span></a> odyCy is a state of the art NLP library for Ancient Greek, capable of part-of-speech tagging, morphological analysis, dependency parsing, lemmatization and more.</p>
Tatjana Scheffler<p>Does anyone know how the vectors in the <a href="https://fediscience.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> German model were computed? Are they still word2vec skipgrams? I only found an old blog post so far.</p>
Christof Schöch<p>Oh, great: <a href="https://fedihum.org/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> requires <a href="https://fedihum.org/tags/click" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>click</span></a> &lt;8.1.0, but <a href="https://fedihum.org/tags/flask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>flask</span></a> requires <a href="https://fedihum.org/tags/click" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>click</span></a> 8.1.3. Hopefully, I won't need spaCy and flask in the same project / <a href="https://fedihum.org/tags/virtualenv" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>virtualenv</span></a>.</p>
Andreas Wagner<p>Two days ago, when I presented <a href="https://hcommons.social/tags/spaCy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spaCy</span></a> and <a href="https://hcommons.social/tags/transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transformers</span></a> as two state-of-the-art <a href="https://hcommons.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> libraries that can bring deep learning and pretrained language models to bear on the task of reference extraction at the <a href="https://hcommons.social/tags/RefExtract23" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RefExtract23</span></a> workshop, I wasn't aware that since about a week ago now, spaCy now even features a pipeline explicitly for integrating LLMs into its workflows: <a href="https://github.com/explosion/spacy-llm" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">github.com/explosion/spacy-llm</span><span class="invisible"></span></a></p><p>This will be interesting to look into! Here is the announcement on the birdsite: <a href="https://twitter.com/spacy_io/status/1656734286425255937" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">twitter.com/spacy_io/status/16</span><span class="invisible">56734286425255937</span></a></p>