-
### Title of the resource
Clustering and Visualising Documents using Word Embeddings
### Resource type
External Resource
### Authors, editors and contributors
Jonathan Reades, Jennie Williams, Al…
-
### Describe the issue
LLM: ChatGLM3
API: FastChat
My Skill:
```python
from langchain_community.vectorstores import Milvus
from langchain_community.embeddings import HuggingFaceBgeEmbeddings…
-
BERT-based, or any transformer-based models output contextualized embeddings, which is correctly used for document embeddings generation. But to get word_embeddings, the same model is used, moreover, …
-
requests.exceptions.ConnectionError: HTTPConnectionPool(host='212.129.155.247', port=80): Max retries exceeded with url: /embedding/cn_tri_fastnlp_100d.zip (Caused by NewConnectionError(': Failed to e…
-
Hi,
Setting Dropout in production results in random embeddings. This has been discussed in the main repo if you search. To reproduce this, just run the same string more than once, each time you'll s…
-
We (AUEB's NLP group: http://nlp.cs.aueb.gr/) recently released word embeddings pre-trained on text from 27 million biomedical articles from the MEDLINE/PubMed Baseline 2018.
Two versions of word e…
-
Hi, I am trying to use the embeddings.lua script to generate pre-trained word embeddings. However, after running something like:
th tools/embeddings.lua -lang en -dict_file data/demo.src.dict -save…
-
We should download pre-trained word embeddings to improve our sentiment analysis. This lets us leverage language information from a massive text database, so our neural network can focus on analyzing …
-
This line structures a binary model (from Gensim) to a text file.
I think that we need to adapt all the other functions (main_train.train(), word2term.wordVST2TermVST() and so all word2term.py functi…
-
The two themes in this project will be:
1) using word embeddings in sentiment analysis. As a starting point, see:
- [this article](https://www.sciencedirect.com/science/article/pii/S18770509183076…