What's the rationale for null terminated strings?

As much as I love C and C++, I can't help but scratch my head at the choice of null terminated strings: Length prefixed (i.e. Pascal) strings existed before C Length prefixed strings make several...

Why does word2vec use 2 representations for each word?

I am trying to understand why word2vec's skipgram model has 2 representations for each word (the hidden representation which is the word embedding) and the output representation (also called...

Copy and paste data frame - from R! to Writer/Word

Suppose I have some analysis results in data frame/table. I wish to embed them in text document. In case of LaTeX, I can use miscFuncs package: library('miscFuncs') latextable(myDataFrame) and...

How to use stop_gradient in Tensorflow

I'm wondering how to use stop_gradient in tensorflow, and the documentation is not clear to me. I'm currently using stop_gradient to produce the gradient of the loss function w.r.t. the word...

Google Docs viewer returning 204 responses, no longer working, alternatives?

UPDATE 2016-11-16 9:53am EST It appears many people are still seeing 204 responses even though Google has claimed to have "fixed" the problem. When I myself tested the loading of a document 50...

How to add chart data in Open XML C# for Word?

Am trying to change data for an already existing word file. I've had success in manipulating data in embedded Excel file, but somehow, this data is not being used in Word file. Moreover, in Excel...

How combine word embedded vectors to one vector?

I know the meaning and methods of word embedding(skip-gram, CBOW) completely. And I know, that Google has a word2vector API that by getting the word can produce the vector. but my problem is...

what is dimensionality in word embeddings?

I want to understand what is meant by "dimensionality" in word embeddings. When I embed a word in the form of a matrix for NLP tasks, what role does dimensionality play? Is there a visual example...

reverse word embeddings in keras - python

I am trying to make a chatbot in keras. I am assigning every word in the vocabulary its own ID. One training sample looks like this: [0 0 0 0 0 0 32 328 2839 13 192 1 ] -> [23 3289 328 2318 12 0 0...

BeautifulSoup does not return all elements on page

I'm new to Web scraping and just started using BeautifulSoup. Here's my question. When you look up a word in Google in such a way using a search query like "define:lucid", in most cases, a panel...

Import GoogleNews-vectors-negative300.bin

I am working on code using the gensim and having a tough time troubleshooting a ValueError within my code. I finally was able to zip GoogleNews-vectors-negative300.bin.gz file so I could implement...

How do I create a Keras Embedding layer from a pre-trained word embedding dataset?

How do I load a pre-trained word-embedding into a Keras Embedding layer? I downloaded the glove.6B.50d.txt (glove.6B.zip file from https://nlp.stanford.edu/projects/glove/) and I'm not sure how to...

Avada Wordpress wp_remote_get()

Hello All I am at a loss of what to do on our word press site it is saying wp_remote_get() failed. Some theme features may not work. Please contact your hosting provider and make sure...

Embedding in pytorch

I have checked the PyTorch tutorial and questions similar to this one on Stackoverflow. I get confused; does the embedding in pytorch (Embedding) make the similar words closer to each other? And...

How to combine both word embeddings and pos embedding together to build the classifier

You known POS is like 'NP', 'VERB'. How can I combine these features to word2vec? Just like the follow vectors? keyword V1 V2 V3 V4 V5 V6 ...

Edit Word document embedded in a workbook and save as copy

I have made a Word template and inserted it to Excel as an object. I am opening it with the code and inputting data to bookmarks and main part. However after code is done doing processes my...

Mapping word vector to the most similar/closest word using spaCy

I am using spaCy as part of a topic modelling solution and I have a situation where I need to map a derived word vector to the "closest" or "most similar" word in a vocabulary of word vectors. I...

Any way to extract the exhaustive vocabulary of the google universal sentence encoder large?

I have some sentences for which I am creating an embedding and it works great for similarity searching unless there are some truly unusual words in the sentence. In that case, the truly unusual...

Universal sentence encoder for big document similarity

I need to create a 'search engine' experience : from a short query (few words), I need to find the relevant documents in a corpus of thousands documents. After analyzing few approaches, I got very...

Generating synonyms or similar words using BERT word embeddings

I want to generate synonyms or similar words using BERT words embeddings. I started to do this using BERT. For later software integration, it has to be done in JAVA, so I went for...

How to visualize the SpaCy word embedding as scatter plot?

Each word in SpaCy is represented by a vector of length 300. How can I plot these words on a scatter plot to get a visual perspective on how close any 2 words are?

How to encode multiple sentences using transformers.BertTokenizer?

I would like to create a minibatch by encoding multiple sentences using transform.BertTokenizer. It seems working for a single sentence. How to make it work for several sentences? from...

html.Embed or html.Iframe not rendering local pdf in plotly DASH app

I am trying to display a pdf I read from a local path inside a DASH app. I tried using Embed and Iframe. However, none of them is displaying the pdf. Also, there is no error its just blank. Below...

Why are my Amazon Appstore submissions being rejected? How to get more info?

Since over a year I have a Russian multiplayer word game published at Amazon. Now I have translated it to English and German languages, but have problems getting the 2 translated apps through the...

Download pre-trained sentence-transformers model locally

I am using the SentenceTransformers library (here: https://pypi.org/project/sentence-transformers/#pretrained-models) for creating embeddings of sentences using the pre-trained model...

How to extract embedded Files from Word

I wrote a Word macro (VBA) that extracts the following (Ole) embedded files from a Word document (docx or docm, not doc): doc, docx, docm xls, xlsx, xlsm (xlsb is copied but not working) ppt,...

How to set multiple sequences as features in KERAS

I want to make Named Entity Recognition model with Keras. These are the links that I have...

Using a Roslyn Code Generator in Unity 2020.2

TL;DR How to reference custom Roslyn code generators from Unity? How reliable are local "conventional" projects? How to reference "conventional" dotnet projects in Unity? Can I make a Roslyn...

Using BERT to generate similar word or synonyms through word embeddings

As we all know the capability of BERT model for word embedding, it is probably better than the word2vec and any other models. I want to create a model on BERT word embedding to generate synonyms...

Error: IndexError: index 6319 is out of bounds for axis 0 with size 0

Th code below is taken from https://github.com/arunarn2/HierarchicalAttentionNetworks/blob/master/HierarchicalAttn.py with a few minor tweaks. Although I understand what the error means, I am not...