Xaver Maria Krückl commited on
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Upload model

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  1. LICENSE.md +1 -1
  2. README.md +4 -0
LICENSE.md CHANGED
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  MIT License
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- Copyright (c) 2026 Xaver Maria Krückl
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  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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  MIT License
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+ Copyright (c) 2026 Xaver Maria Krückl and Prof. Dr. Annemarie Friedrich
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  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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README.md CHANGED
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  > Annemarie Friedrich, Alexis Palmer and Manfred Pinkal. **Situation entity types: automatic classification of clause-level aspect.** ACL 2016. ([GitHub](https://github.com/annefried/sitent))
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  The corpus contains English text with clause-level situation-entity annotations. The standard train/dev/test split from the original paper is used.
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  ## Training Details
 
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  > Annemarie Friedrich, Alexis Palmer and Manfred Pinkal. **Situation entity types: automatic classification of clause-level aspect.** ACL 2016. ([GitHub](https://github.com/annefried/sitent))
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+ The dataset is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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+ Per the terms of the Apache 2.0 license, notice is hereby given that these weights
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+ represent a modified derivative work based on that data.
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  The corpus contains English text with clause-level situation-entity annotations. The standard train/dev/test split from the original paper is used.
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  ## Training Details