Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [semantics]

For questions about meaning. Distinct from syntactics.

Semantics (from Ancient Greek: σημαντικός sēmantikos, "significant") is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics. It is concerned with the relationship between signifiers—like words, phrases, signs, and symbols—and what they stand for, their denotation.
Semantics (wikipedia)


In programming language theory, semantics is the field concerned with the rigorous mathematical study of the meaning of programming languages. It does so by evaluating the meaning of syntactically legal strings defined by a specific programming language, showing the computation involved. In such a case that the evaluation would be of syntactically illegal strings, the result would be non-computation. Semantics describes the processes a computer follows when executing a program in that specific language. This can be shown by describing the relationship between the input and output of a program, or an explanation of how the program will execute on a certain platform, hence creating a model of computation.
Semantics - Computer Science (wikipedia)


SEE ALSO:
Semantic equivalence
Computational semantics
Semantics of logic
Formal semantics (linguistics)

14 questions
18
votes
2 answers

What research has been done in the domain of "identifying sarcasm in text"?

Identifying sarcasm is considered one of the most difficult open-ended problems in the domain of ML and NLP/NLU. So, was there any considerable research done on that front? If yes, then what is the accuracy like? Please, also, explain the NLP model…
Dawny33
  • 1,371
  • 13
  • 29
9
votes
4 answers

Can the English language ever be generalized using a set of grammar rules?

In programming languages, there is a set of grammar rules which govern the construction of valid statements and expressions. These rules help in parsing the programs written by the user. Can there ever be a functionally complete set of grammar rules…
skrtbhtngr
  • 261
  • 1
  • 8
6
votes
2 answers

What exactly are the differences between semantic and lexical-semantic networks?

What exactly are the differences between semantic and lexical-semantic networks?
idontknowwhoiamgodhelpme
  • 161
  • 1
4
votes
3 answers

Are Rationality and Intelligence distinct?

This just popped into my head, and I haven't thought it through, but it feels like a sound question. The definition of intelligence might still be somewhat fuzzy, possibly a factor of our evolving understanding of "intelligence" in regard to…
DukeZhou
  • 6,237
  • 5
  • 25
  • 53
2
votes
1 answer

How to find the category of a technical text on a surface-semantic-level

There are some predefined categories( Overview, Data Architecture, Technical Details, Applications, etc). The requirement is to classify the input text of paragraphs into their resp. category. I can't use any pre-trained word embeddings (Word2Vec,…
A.S.
  • 21
  • 1
2
votes
2 answers

Is there a way to understand the type of a sentence?

I am a beginner, just started studying around NLP, specifically various language models. So far, my understanding is that - the goal is to understand/produce natural language. So far the methods I have studied speak about correlation of words,…
Dibyajyoti Mohapatra
  • 21
  • 1
1
vote
1 answer

Choosing Instance Semantic Detection

A fixed video camera records people moving through its field of view. The goal is to detect and track the head, in real-time as it moves through the video. The norm is there are many heads, which often are sometimes partially obscured. This…
gatorback
  • 196
  • 1
  • 7
1
vote
1 answer

Reasoning about 2d spatial square configuration

I am trying to use RCC8 algebra relations and axioms in order to tackle the following problem : We consider the below configuration and square $x$ such that "$x$ NTPP $a$" and "$x$ TPP $c$" and we must prove that : a) $x$ DC $b$ b) For $y$ such…
nick
  • 113
  • 4
1
vote
3 answers

What is the difference (if any) between semantic segmentation and multi-class, mutually exclusive classification?

Multi-class classification is simply assigning all data points into one of up to any finite number of mutually exclusive labels. I am new to the field(s) of AI/ML and I keep hearing people use the term "semantic segmentation." I want to "translate"…
brethvoice
  • 115
  • 7
1
vote
0 answers

Applications of polar decomposition in Machine Learning

Assume there exists a new and very efficient algorithm for calculating the polar decomposition of a matrix $A=UP$, where $U$ is a unitary matrix and $P$ is a positive-semidefinite Hermitian matrix. Would there be any interesting applications in…
Samuel
  • 11
  • 2
1
vote
2 answers

How much knowledge of the world is learnt through words?

We know a lot of common sense about the world. Things like "to buy something you need money". I wonder how much of this common sense comes about through actual someone explicitly telling you the instructions "You need money to buy things". Which we…
zooby
  • 2,196
  • 1
  • 11
  • 21
1
vote
2 answers

Does it matter if it's a bot or a human generating text? Doesn't it come down to the content?

It was noted today that automated text generation is advancing at a rapid pace, potentially accelerating. As bots become more and more capable of passing turing tests, especially in single iterations, such as social media posts or news blurbs, I…
DukeZhou
  • 6,237
  • 5
  • 25
  • 53
0
votes
0 answers

Is BERT capable of producing semantically close word embeddings for synonyms?

I am currently working on my undergraduate thesis on matching job descriptions to resumes based on the contents of both. Recently, I came across the following statement by Schmitt et al., 2016: "[...] [Recruiters] and job seekers [...] do not seem…
nesquick
  • 11
  • 2
0
votes
0 answers

What is all necessary types of data for a bidirectional RNN to learn embeddings?

Bidirectional RNNs are used for generating the semantic vectors of the text at the sentence level and word level. In order to train a CNN for the classification tasks, images, and labels/outputs are required in general. If the data required is…
hanugm
  • 3,571
  • 3
  • 18
  • 50