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./viridic.bash projdir=test in=./test3.fna
The state is: run
Parameters for VIRIDIC are: projdir=/viridic/viridic_scripts/out in=/viridic/viridic_scripts/in/test3.fna
singularity run -B ".:/virid…
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Hi,
I am trying to obtain the semantic similarity between the generated and the ground truth sentence.
I used all these metrics to evaluate the generated sentences (validation dataset):
BLEU 1…
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Filtering fails on some datasets, for example, en-ru OPUS XLEnt
```
[task 2024-04-17T19:48:57.880Z] [11/12:laser_similarity] Traceback (most recent call last):
[task 2024-04-17T19:48:57.881Z] [11/1…
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## Library
[Apache Commons Text 1.8 API] (https://commons.apache.org/proper/commons-text/apidocs/org/apache/commons/text/similarity/package-summary.html)
## Purpose
We intend to use the class L…
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# Misspelling Oblivious Word Embedding
スペルミスに耐性のある単語分散表現。スペルミス単語とそれに対応する正しい単語のベクトルが近づけるような項をFastTextの損失関数に導入する。内的評価(word similarity, word analogy, neighborhood similarity)・外的評価(POS tagging)の両方で、提案手法(…
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# I'm using Google Colab
s = "would sentiment"
disambiguate(s, algorithm=maxsim, similarity_option='path', keepLemmas=True)
# the same with "may sentiment", "might sentiment", "must sentiment", ...…
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- **Name:** Conflate Dataset
- **Description:** Conflation of word pairs from Medline abstracts
- **Task:** Semantic Similarity
- **Paper:** https://aclanthology.org/P08-3009/
- **Data:** https:/…
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Currently, for every request, we reload the word models from source files. This may decrease performance - perhaps we want to preload the models when the word_models path is requested for a given corp…
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So it fits on a phone, for instance. Currently the word2vec model uses ~50MB, which we could reduce by:
- using fewer words, winning say a factor of 2
- using half-floats instead of floats, winnin…
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Hi
I have been getting this error:
First:
In model.py..that tokenizer is not defined.
Then I added this in test_dataset_model(df_test,model):
##added 2019
tokenizer, embedding_matrix = pre…