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Part 1: Document Description
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Citation |
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Title: |
Selectional Preference Embeddings (EMNLP 2017) |
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Identification Number: |
doi:10.11588/data/FJQ4XL |
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Distributor: |
heiDATA |
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Date of Distribution: |
2019-01-31 |
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Version: |
1 |
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Bibliographic Citation: |
Heinzerling, Benjamin, 2019, "Selectional Preference Embeddings (EMNLP 2017)", https://doi.org/10.11588/data/FJQ4XL, heiDATA, V1 |
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Citation |
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Title: |
Selectional Preference Embeddings (EMNLP 2017) |
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Identification Number: |
doi:10.11588/data/FJQ4XL |
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Authoring Entity: |
Heinzerling, Benjamin (Heidelberg University and Natural Language Processing (NLP) Group at the Heidelberg Institute for Theoretical Studies (HITS)) |
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Distributor: |
heiDATA |
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Access Authority: |
Heinzerling, Benjamin |
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Holdings Information: |
https://doi.org/10.11588/data/FJQ4XL |
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Study Scope |
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Keywords: |
Computer and Information Science |
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Abstract: |
<p>Joint embeddings of selectional preferences, words, and fine-grained entity types.</p> <p>The vocabulary consists of: <ul> <li> verbs and their dependency relation separated by "@", e.g. "sink@nsubj" or "elect@dobj" <li> words and short noun phrases, e.g. "Titanic" <li> fine-grained entity types using the FIGER inventory, e.g.: /product/ship or /person/politician </ul> </p> <p> The files are in word2vec binary format, which can be loaded in Python with gensim like this: <code> <pre>from gensim.models import KeyedVectors emb_file = "/path/to/embedding_file" emb = KeyedVectors.load_word2vec_format(emb_file, binary=True)</pre></code> </p> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Heinzerling, B., Moosavi, N. S., & Strube, M. (2017). Revisiting Selectional Preferences for Coreference Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (S. 1343–1350). Copenhagen, Denmark: Association for Computational Linguistics. |
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Identification Number: |
http://aclweb.org/anthology/D17-1138 |
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Bibliographic Citation: |
Heinzerling, B., Moosavi, N. S., & Strube, M. (2017). Revisiting Selectional Preferences for Coreference Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (S. 1343–1350). Copenhagen, Denmark: Association for Computational Linguistics. |
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dep.lemma.lower.basicDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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selectional preference embeddings in binary word2vec format. lemmatized, basicDependencies. |
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Notes: |
application/octet-stream |
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dep.lemma.lower.basicDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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selectional preference embeddings in plain-text word2vec format. lemmatized, basicDependencies. |
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Notes: |
text/plain |
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dep.lemma.lower.enhancedDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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selectional preference embeddings in binary word2vec format. lemmatized, enhancedDependencies. |
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application/octet-stream |
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dep.lemma.lower.enhancedDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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selectional preference embeddings in plain-text word2vec format. lemmatized, enhancedDependencies. |
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text/plain |
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dep.lemma.lower.enhancedPlusPlusDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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selectional preference embeddings in binary word2vec format. lemmatized, enhancedPlusPlusDependencies. |
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application/octet-stream |
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dep.lemma.lower.enhancedPlusPlusDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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selectional preference embeddings in plain-text word2vec format. lemmatized, enhancedPlusPlusDependencies. |
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text/plain |
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dep.word.lower.basicDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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selectional preference embeddings in binary word2vec format. unlemmatized, basicDependencies. |
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application/octet-stream |
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Label: |
dep.word.lower.basicDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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Text: |
selectional preference embeddings in binary word2vec format. unlemmatized, basicDependencies. |
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Notes: |
text/plain |
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Label: |
dep.word.lower.enhancedDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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Text: |
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedDependencies. |
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Notes: |
application/octet-stream |
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Label: |
dep.word.lower.enhancedDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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Text: |
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedDependencies. |
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Notes: |
text/plain |
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Label: |
dep.word.lower.enhancedPlusPlusDependencies.d100.min100.i10.w2v.mu_postproc.bin |
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Text: |
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedPlusPlusDependencies. |
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Notes: |
application/octet-stream |
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Label: |
dep.word.lower.enhancedPlusPlusDependencies.d100.min100.i10.w2v.mu_postproc.txt |
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Text: |
selectional preference embeddings in binary word2vec format. unlemmatized, enhancedPlusPlusDependencies. |
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Notes: |
text/plain |