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  • Search: subject:"Language Modeling"
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Year of publication
Subject
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Language Modeling 5 Natural language processing 5 Business cycles 4 Consumption forecasting 4 Evaluating forecasts 4 Machine learning 4 Macroeconomic forecasting 4 Artificial intelligence 3 Künstliche Intelligenz 3 Economic forecast 2 Forecast 2 Forecasting model 2 Frühindikator 2 Judgemental forecasting 2 Judgmental forecasting 2 Language 2 Leading indicator 2 Prognose 2 Prognoseverfahren 2 Sprache 2 Theorie 2 Theory 2 Wirtschaftsprognose 2 statistical language modeling 2 Algorithm 1 Algorithmus 1 Artificial Intelligence 1 Bekleidungsindustrie 1 Clothing industry 1 Creative Process 1 Creative industries 1 Creativity 1 Creativity Studies 1 Cyber-Creativity 1 DA VINCI model 1 Design 1 Generative AI 1 Immaterialgüterrechte 1 Intellectual Property 1 Intellectual property rights 1
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Online availability
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Free 5 Undetermined 2
Type of publication
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Book / Working Paper 5 Article 1 Other 1
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Aufsatzsammlung 1
Language
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English 5 Undetermined 2
Author
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Foltas, Alexander 4 Corazza, Giovanni Emanuele 1 MEMUSHAJ, ALKET 1 Rosenfield, Roni 1 SOBH, TAREK M. 1 Seymore, Kristie 1
Published in...
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HWWI Working Paper 1 HWWI working paper 1 New Mathematics and Natural Computation (NMNC) 1 The seven C's of creativity 1 Working Papers of the Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour" 1 Working Papers of the Priority Programme 1859 : Experience and Expectation : Historical Foundations of Economic Behaviour 1
Source
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ECONIS (ZBW) 3 EconStor 2 BASE 1 RePEc 1
Showing 1 - 7 of 7
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Inefficient forecast narratives: A BERT-based approach
Foltas, Alexander - 2025
This paper contributes to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and use...
Persistent link: https://www.econbiz.de/10015561821
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Inefficient forecast narratives : a BERT-based approach
Foltas, Alexander - 2025
This paper contributes to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and use...
Persistent link: https://www.econbiz.de/10015557960
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Inefficient forecast narratives : a BERT-based approach
Foltas, Alexander - 2024
I contribute to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and classify the...
Persistent link: https://www.econbiz.de/10014632754
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Cover Image
Inefficient forecast narratives: A BERT-based approach
Foltas, Alexander - 2024
I contribute to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and classify the...
Persistent link: https://www.econbiz.de/10014635580
Saved in:
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The cyber-creativity process : how humans co-create with artificial intelligence
Corazza, Giovanni Emanuele (ed.) - 2025
This edited book explores the process of creating using the seven C's of creativity framework. It discusses the creative process as a collaboration between humans and Artificial Intelligence (AI), here identified as the cyber-creativity process. Through nine chapters written by leading scholars...
Persistent link: https://www.econbiz.de/10015403784
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USING GRAPHEME n-GRAMS IN SPELLING CORRECTION AND AUGMENTATIVE TYPING SYSTEMS
MEMUSHAJ, ALKET; SOBH, TAREK M. - In: New Mathematics and Natural Computation (NMNC) 04 (2008) 01, pp. 87-106
language corpora to be used for probabilistic language modeling.Our technique attempts to augment spellchecking and typing …
Persistent link: https://www.econbiz.de/10004970162
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Scalable Trigram Backoff Language Models
Seymore, Kristie; Rosenfield, Roni - 1996
When a trigram backoff language model is created from a large body of text, trigrams and bigrams that occur few times in the training text are often excluded from the model in order to decrease the model size. Generally, the elimination of n-grams with very low counts is believed to not...
Persistent link: https://www.econbiz.de/10009441270
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