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# schme | ||
Semantic Change Detection with Model Ensemble | ||
# SChME - Semantic Change with Model Ensemble | ||
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### What is SChME | ||
This is the semantic change detection model as seen at SemEval-2020 Task 1: | ||
Unsupervised Detection of Lexical Semantic Change. | ||
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It combines alignment of word embeddings with voting mechanisms to quantify the semantic change between two given corpora. | ||
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### How to use | ||
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You need to provide data from a pair of sources, which can be done in two ways. | ||
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1. A pair of text files, each containing one corpora relative to different time periods or domains. | ||
2. A pair of word embeddings in [Word2Vec format](https://radimrehurek.com/gensim/scripts/glove2word2vec.html). | ||
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Word2Vec format: | ||
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``` | ||
n (no. of words) d (dimension) | ||
<word1> x11 x12 x13 ... x1d | ||
<word2> x21 x22 x23 ... x2d | ||
... | ||
<wordn> xn1 xn2 xn3 ... xnd | ||
``` |
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