Search (29 results, page 1 of 2)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  • × language_ss:"e"
  1. Morris, V.: Automated language identification of bibliographic resources (2020) 1.00
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  2. Zhang, Y.; Zhang, C.; Li, J.: Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction (2020) 1.00
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  3. Azpiazu, I.M.; Soledad Pera, M.: Is cross-lingual readability assessment possible? (2020) 1.00
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  4. Hausser, R.: Grammatical disambiguation : the linear complexity hypothesis for natural language (2020) 1.00
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  5. Escolano, C.; Costa-Jussà, M.R.; Fonollosa, J.A.: From bilingual to multilingual neural-based machine translation by incremental training (2021) 1.00
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  6. Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020) 1.00
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  7. Lee, G.E.; Sun, A.: Understanding the stability of medical concept embeddings (2021) 1.00
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  8. Soni, S.; Lerman, K.; Eisenstein, J.: Follow the leader : documents on the leading edge of semantic change get more citations (2021) 1.00
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  9. Xiang, R.; Chersoni, E.; Lu, Q.; Huang, C.-R.; Li, W.; Long, Y.: Lexical data augmentation for sentiment analysis (2021) 1.00
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  10. Andrushchenko, M.; Sandberg, K.; Turunen, R.; Marjanen, J.; Hatavara, M.; Kurunmäki, J.; Nummenmaa, T.; Hyvärinen, M.; Teräs, K.; Peltonen, J.; Nummenmaa, J.: Using parsed and annotated corpora to analyze parliamentarians' talk in Finland (2022) 1.00
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  11. Suissa, O.; Elmalech, A.; Zhitomirsky-Geffet, M.: Text analysis using deep neural networks in digital humanities and information science (2022) 1.00
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  12. Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021) 1.00
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  13. Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021) 1.00
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  14. Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022) 1.00
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  15. Corbara, S.; Moreo, A.; Sebastiani, F.: Syllabic quantity patterns as rhythmic features for Latin authorship attribution (2023) 1.00
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  16. Roose, K.: ¬The brilliance and weirdness of ChatGPT (2022) 1.00
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  17. Metz, C.: ¬The new chatbots could change the world : can you trust them? (2022) 1.00
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  18. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 1.00
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  19. Shree, P.: ¬The journey of Open AI GPT models (2020) 1.00
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  20. Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020) 1.00
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