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Results tagged with nlp
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user 83161
Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.
1
vote
Student answer evaluation
This seems like a very hard problem considering it is still a very active area of research in NLP, Some tools or concepts that might be interesting to you - Latent Semantic Analysis, word embeddings, text …
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3
votes
Generating synonyms or similar words from multiples word embeddings
Gensim has a built in functionality to find similar words, using Word2vec. You can train a Word2Vec model using gensim:
model = Word2Vec(sentences, size=100, window=5, min_count=5, workers=4)
You …
- 359
2
votes
1
answer
128
views
How is an ASR's output compared to ground truth for validation?
I am curious how it is done as I am interested in doing something similar. I have some manually transcribed data that contains tags for multiple speakers. I want to compare how well the out of the box …
- 359
0
votes
Accepted
How is an ASR's output compared to ground truth for validation?
The answer I was looking for is Word Error Rate. It is the most standard way of comparing ASR transcriptions wrt ground truth. It is less granular than what I had in mind, it is basically Levenshtein …
- 359
1
vote
Accepted
Do repeated sentences impact Word2Vec?
Are the sentences exactly the same, word to word? If that is the case I would suggest removing the repeated sentences because that might create a bias for the word2vec model, ie. repeating the same se …
- 359
0
votes
How to extract insights from the given data?
As mentioned in the answers, you can try an unsupervised approach to compare the two texts. To provide some more detail on that, you can use some existing word embeddings to generate word embeddings f …
- 359
3
votes
How to get sentence embedding using BERT?
There is very cool tool called bert-as-service which does the job for you. It maps a sentence to a fixed length word embeddings based on the pre trained model you use. It also allows a lot of paramete …
- 359
3
votes
Accepted
Use embeddings to find similarity between documents
The reason I recommend USE over BERT is that, USE was trained specially for sentence similarity tasks whereas BERT, even though can be applied to any NLP task was original trained to predict words in a …
- 359