Search Results - "Schweter, Stefan"

FLERT: Document-Level Features for Named Entity Recognition by Schweter, Stefan, Akbik, Alan

“…Current state-of-the-art approaches for named entity recognition (NER) typically consider text at the sentence-level and thus do not model information that…”
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Towards Robust Named Entity Recognition for Historic German by Schweter, Stefan, Baiter, Johannes

“…Recent advances in language modeling using deep neural networks have shown that these models learn representations, that vary with the network depth from…”
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German's Next Language Model by Chan, Branden, Schweter, Stefan, Möller, Timo

“…In this work we present the experiments which lead to the creation of our BERT and ELECTRA based German language models, GBERT and GELECTRA. By varying the…”
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hmBERT: Historical Multilingual Language Models for Named Entity Recognition by Schweter, Stefan, März, Luisa, Schmid, Katharina, Çano, Erion

“…Compared to standard Named Entity Recognition (NER), identifying persons, locations, and organizations in historical texts constitutes a big challenge. To…”
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Data Centric Domain Adaptation for Historical Text with OCR Errors by März, Luisa, Schweter, Stefan, Poerner, Nina, Roth, Benjamin, Schütze, Hinrich

“…We propose new methods for in-domain and cross-domain Named Entity Recognition (NER) on historical data for Dutch and French. For the cross-domain case, we…”
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0 by De Toni, Francesco, Akiki, Christopher, de la Rosa, Javier, Fourrier, Clémentine, Manjavacas, Enrique, Schweter, Stefan, van Strien, Daniel

“…In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution…”
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model by Scao, Teven Le, Fan, Angela, Gallé, Matthias, Webson, Albert, Wang, Thomas, Bekman, Stas, Laurençon, Hugo, Launay, Julien, Raffel, Colin, Simhi, Adi, Alfassy, Amit, Rogers, Anna, Leong, Colin, van Strien, Daniel, Ponferrada, Eduardo González, Levkovizh, Efrat, Benyamina, Hamza, Tran, Hieu, Yu, Ian, Johnson, Isaac, Bhattacharjee, Joydeep, Von Werra, Leandro, Dey, Manan, Jiang, Mike Tian-Jian, Jauhar, Mohammad A, Kassner, Nora, Pyysalo, Sampo, Pai, Suhas, Schick, Timo, Thrush, Tristan, Nikoulina, Vassilina, Laippala, Veronika, Heinzerling, Benjamin, Taşar, Davut Emre, Salesky, Elizabeth, Lee, Wilson Y, Szczechla, Eliza, Chhablani, Gunjan, Wang, Han, Rozen, Jos, Manica, Matteo, Nayak, Nihal, Teehan, Ryan, Albanie, Samuel, Shen, Sheng, Ben-David, Srulik, Kim, Taewoon, Neeraj, Trishala, Roberts, Adam, Tae, Jaesung, Phang, Jason, Press, Ofir, Ryabinin, Max, Peyrounette, Myriam, Patry, Nicolas, Cornette, Pierre, Dettmers, Tim, Ligozat, Anne-Laure, Névéol, Aurélie, Taktasheva, Ekaterina, Kalo, Jan-Christoph, Clive, Jordan, Kim, Najoung, Mirkin, Shachar, Pais, Shani, Pruksachatkun, Yada, Pestana, Amanda, Faranak, Amy, Santos, Ana, HajiHosseini, Azadeh, Ajibade, Benjamin, Saxena, Bharat, Nguyen, Duong A, Rezanejad, Habib, Bhattacharya, Indrani, Nejadgholi, Isar, McKenna, Michael, Burynok, Mykola, Rajani, Nazneen, Samuel, Olanrewaju, Kromann, Rasmus, Shubber, Sarmad, Viguier, Sylvain, Miranda-Escalada, Antonio, Singh, Ayush, Manjavacas, Enrique, Barth, Fabio, Bulchandani, Lokesh, Nezhurina, Marianna, Liu, Minna, Kang, Myungsun, Dahlberg, Nathan, Chandrasekhar, Ramya, Eisenberg, Renata, Canalli, Rodrigo, Schweter, Stefan, Laud, Tanmay, Kainuma, Tomoya, Venkatraman, Yash, Xu, Yingxin

“…Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these…”
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