21 to 30 of 55 Results
Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 3.1 KB -
MD5: b9c05f15f634687c473e65f267b32c92
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Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 3.4 KB -
MD5: 5900f0947dba284902650ebd6b5fb2a6
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Sep 5, 2019 -
Sentiment Compound Data (DE)
Plain Text - 4.1 KB -
MD5: a9954351d3510f45cfead5e27dd7060a
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Jul 12, 2019 -
AMR parse quality prediction [Source Code]
ZIP Archive - 12.7 MB -
MD5: 7057006601db4c004d0f5e041e508e08
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Sep 2, 2019
Wiegand, Michael, 2019, "Opinion role extractor", https://doi.org/10.11588/data/3W7AQP, heiDATA, V1
System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text |
Aug 19, 2019
Kotnis, Bhushan, 2019, "Negative Sampling for Learning Knowledge Graph Embeddings", https://doi.org/10.11588/data/YYULL2, heiDATA, V1
Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure o... |
Oct 7, 2019
Marasović, Ana, 2019, "Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]", https://doi.org/10.11588/data/ERDJDI, heiDATA, V1
Abstract Modal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based cl... |
Oct 7, 2019 -
The MSC Data Set
ZIP Archive - 6.2 MB -
MD5: 98dbe1d608c24c3dfd31f166daeee77b
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Oct 7, 2019 -
Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]
ZIP Archive - 3.0 MB -
MD5: 63c05670056bb1992a1e5ec370f0ccf3
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Sep 5, 2019 -
Sentiment View Lexicon (EN)
Plain Text - 18.2 KB -
MD5: 4a17ffc27c9f3b240fbf4fe17783c89c
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