2,311 to 2,320 of 8,414 Results
Comma Separated Values - 2.7 KB -
MD5: f0b3dbfd3ba68e5222f7576f7f52487f
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Comma Separated Values - 1.1 KB -
MD5: 413fcb5c5bf3993b69a4c3cf403f948b
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Mar 20, 2025 -
Replication Data for: A corpus-based analysis of the Dat-Nom/Nom-Dat alternation in German
Comma Separated Values - 4.3 MB -
MD5: 518da7bc51c507639c7b7476f725ddfd
This is a csv file with UTF-8 encoding and ";" as delimiter. The file contains the sentences and the constituents that were annotated. The annotations are provided in GermDatNomOrder_Data.txt. ID is a key variable relating GermDatNomOrder_Sentences.csv to GermDatNomOrder_Data.txt. |
Comma Separated Values - 262.9 KB -
MD5: 129077428da7b21460bc6ca674b1109f
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Comma Separated Values - 551.5 KB -
MD5: 7cfa28d2d8f70d0b6153d0213c4938d3
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Comma Separated Values - 4.6 KB -
MD5: eb639ddd89850fe1c9aa101aa8bd9621
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Mar 20, 2025 -
Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Comma Separated Values - 13.4 KB -
MD5: 9ee32a7ba3c3d084d0481bdeb0985fc7
Sample_input_detected_R-strategies_from_rule-based_NLP.csv |
Mar 20, 2025 -
Python code for rule-based NLP extraction of keywords from circular economy definitions
Comma Separated Values - 247.8 KB -
MD5: 3359a5b49b0ef2265ec8e42164905907
Sample_input_definition_list_500.csv |
Mar 20, 2025 -
Python code for rule-based NLP extraction of keywords from circular economy definitions
Comma Separated Values - 305.8 KB -
MD5: cf278a2af285a29ed133030016fcbdea
Sample_output_r0_r9_detected_definitions.csv |
Mar 20, 2025 -
Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP
Comma Separated Values - 308.2 KB -
MD5: 28a54775d3a7b164498147dd61a541a1
500_CE_definitions_references_and_results_from_rele-based_NLP.csv |
