Bertem

论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
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Cogcomp Nlp448
2 years ago196otherJava
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
Bertem152
a year ago9apache-2.0Jupyter Notebook
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
Relation Similarity32
5 years agomitPython
codes accompanying ACL 2019 paper Quantifying the Similarity between Relations with Fact Distributions
Defvectors26
10 years agoPython
A tool for semantic relation extraction. The program finds pairs of semantically related words based on the text definitions coming from the Wikipedia articles (other texts may be also used). The extraction method implemented in this system is based on three similarity measures (cosine, gloss overlap, and Karaulov's measure) between texts and two nearest-neighbor algorithms (KNN and Mutual KNN). The tool is a cross-platform console application.
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Natural Language Processing
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Relation Extraction