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`Traceback (most recent call last):
File "D:/projects/miscellaneous/test.py", line 5, in
ws_tool = WordSimilarity2010()
File "C:\Users\00015426\AppData\Local\Programs\Python\Python37\lib\s…
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I see word embeddings as some potentially low hanging fruit for a more robust product. Namely, word embeddings, such as GloVe, are (A) additive and (B) can quantify the similarity between words/phrase…
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First off, thank you for building sematch! This package has been incredibly valuable for me.
Suggestion / question - is there any reason why `WordNetSimilarity` is restricted to only nouns at the m…
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So I am simply calculating the cosine similarity between two fastText word embeddings (i.e. a*b/||a||*||b||), and I expect to see values between -1 and 1. But in practice, I only see similarities betw…
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### Describe the issue
LLM: ChatGLM3
API: FastChat
My Skill:
```python
from langchain_community.vectorstores import Milvus
from langchain_community.embeddings import HuggingFaceBgeEmbeddings…
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I'm wondering why in the paper you linked "[Enriching Word Vectors with Subword Information](https://arxiv.org/pdf/1607.04606.pdf)" they compute the similarity between words as the cosine-similarity o…
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```
Rares' FuzzyJoin will run the following query with the default similarity
threshold 0.8f:
use dataverse fuzzyjoin;
for $i in dataset('DBLP')
for $j in dataset('CSX')
where similarity-jaccard(wo…
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Notice most accurate prediction made are for score = 0, is that possible to run a 'similarity classification' to see spot the similarities of those statements.
Might be a **text cloud** to see the fr…
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## 0. Paper
authors: Xinchi Chen, Xipeng Qiu, Jingxiang Jiang, Xuanjing Huang
paper: [arxiv](https://arxiv.org/abs/1511.06246)
## 1. What is it?
They proposed gaussian mixture embeddings for w…
a1da4 updated
3 years ago
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### Description
When a CollectionView has a HeightRequest property setting and its DataTemplate contains an Editor control, and when there are enough different-sized listed items to more than fill …