Questions tagged [semantic-similarity]

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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 ...
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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 ...
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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 ...
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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 ...
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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: ...
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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 ...
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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. ...
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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 ...
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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 ...
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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: ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...