31 to 40 of 44 Results
Plain Text - 939 B -
MD5: 6a73798eb659888c4ac54404dc181b26
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Plain Text - 2.7 KB -
MD5: eed1b65eb5c7534b18527c83bc33dfa6
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Application Log - 234.7 KB -
MD5: be9253e755e1d09eddd8fbe323d17b6c
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Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 819.4 MB -
MD5: cfec356deebf49b8069b1f7a0565afd8
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedPlusPlusDependencies. |
Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 811.6 MB -
MD5: a29ef8d34067f5945726340138e8d1a8
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedDependencies. |
Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 577.6 MB -
MD5: 05934936f826113573c1fead5b8f5070
selectional preference embeddings in binary word2vec format. unlemmatized, basicDependencies. |
Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 707.2 MB -
MD5: fd314f2b7b7ea3af90930256ab85d5bf
selectional preference embeddings in plain-text word2vec format. lemmatized, enhancedPlusPlusDependencies. |
Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 699.9 MB -
MD5: 4e0c1224a4b28d2ecccb4679bf8b66fd
selectional preference embeddings in plain-text word2vec format. lemmatized, enhancedDependencies. |
Jan 31, 2019 -
Selectional Preference Embeddings (EMNLP 2017)
Plain Text - 514.4 MB -
MD5: 9838147288fd3cff4c9a375a27558d66
selectional preference embeddings in plain-text word2vec format. lemmatized, basicDependencies. |
Nov 4, 2019 -
Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset]
Plain Text - 39.9 KB -
MD5: b0925db71d0047a72f9fee5853477b43
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