Questions tagged [semantic-similarity]
The semantic-similarity tag has no usage guidance.
17
questions
1
vote
1answer
21 views
If i use use BERT embeddings for if cosine(sent1,sent2) > 0.9, then is it fair to assume s1 and s2 are similar
According to BERT author Jacob Devlin: I'm not sure what these vectors are, since BERT does not generate meaningful sentence vectors. It seems that this is doing average pooling over the word tokens ...
1
vote
0answers
50 views
Should one-hot encoded categorical features needs to be scaled when used along with text feature while deriving semantic similarity?
My aim is to derive textual similarity using multiple features. Some of the features are textual for which I am using (Tfhub 2.0) Universal Sentence encoder. There are other categorical features which ...
0
votes
1answer
22 views
How to approach for predicting semantic similarity between two phrases
I need pointers on the latest research, tools, and techniques for predicting semantic similarity between two phrases.
Problem Statement: Given two propositions A ...
0
votes
1answer
19 views
Semantic similarity between two or more sentences
I need to determine how similar sentences (in meaning) are to one another.
In order to do it, I have been considering an algorithm (cosine similarity) to determine the similarity between sentences. I ...
0
votes
1answer
24 views
Semantic networks: word2vec?
I have some doubts on how to represent the relationships between words in texts.
Let’s suppose I have two sentences like these:
...
0
votes
1answer
19 views
Modelling for similarity between two descriptions
I have a dataset of companies and research projects that they were involved in. A subset of the dataset is shown below.
I am trying to find a way to model similarity between the company and the ...
1
vote
0answers
21 views
Semantic networks and conceptual graphs
I would like to use semantic networks to understand changes in texts.
For example when I add/remove some words within a text.
...
0
votes
1answer
45 views
Semantic network using word2vec
I have thousands of headlines and I would like to build a semantic network using word2vec, specifically google news file.
My sentences look like
...
2
votes
1answer
59 views
How to build recommendation model based on resume and job description?
How to build a model which will result in better recommendation of resumes based on the job description given?
I am familiar with bow or tfidf (n-grams) approach and then take a cosine similarity but ...
1
vote
2answers
51 views
NLP: Compare tags semantically with machine learning? (finding synonyms)
Let's say I have multiple tags that I need to compare semantically. For example:
...
0
votes
1answer
33 views
How to Calculate semantic similarity between video captions?
I intend to calculate the accuracy of a caption generated by comparing it to a number of reference sentences.
For example, the captions for one video are as follows:
These captions are for the same ...
0
votes
0answers
11 views
Calculating semantic coherence in a given speech transcript
I am trying to calculate the semantic coherence in a given paragraph/transcript, ie. if somebody goes off track while talking about a thing or topic - more specifically describing a picture (the ...
0
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0answers
49 views
Semantic Search Help
There is a problem we are trying to solve where we want to do semantic search on our set of data,
i.e we have a domain specific data (example: sentences talking about automobiles)
Our data is just a ...
0
votes
0answers
7 views
Generation of Hypotheses for Textual Entailment
Recent developments in NLP have shown good results in recognizing textual entailment (RTE, GLUE Benchmark).
For those unfamiliar with the subject, an example of a text that entails a hypothesis would ...
1
vote
0answers
25 views
How we compare two paragraphs of unlabelled dataset semantically (STS)?
Column representation: Unique_id | Text1 | Text2
Unique_id 0
Text1 public show for reynolds suspension of his coaching licence. portrait sir joshua reynolds portrait of omai will get a public airing ...
3
votes
3answers
318 views
where to store embeddings for similarity search?
I've asked on stackoverflow already (here), but I figured that the approach of storing embeddings in an ordinary postgres-Database might be flawed from the very beginning. I will shortly etch out the ...
0
votes
1answer
58 views
Siamese networks vs Semantic similarity (may be gensim)
I am trying to understand the Siamese networks . In this vector is calculated for an object (say an image) and a distance metric is applied (say manhatten) on two vectors produced by the neural ...
