Introduction to Semantic Processing
Introduction
Welcome to the module on Sematic Processing . The previous two modules had focussed on lexical and syntactic processing techniques in which you had learnt the following concepts and techniques.
Lexical Processing
- Regular expressions
- Tokenization, Stemming, Lemmatization
- TF-IDF model
- Phonetic hashing
- The minimum edit distance algorithm
Syntactic Processing
- POS tagging and HMMs
- GFGs and PGFGs
- Dependency parsing
- Information Extraction (NER using GRFs and Other techniques)
In this module, Semantic processing, you will learn techniques and algorithms to infer the meaning of a given piece of text.
Semantic processing is processing is probably the most challenging area in the field of NLP, partly because the concept of ‘meaning’ itself is quite wide, and because it is a genuinely hard problem to make machines understand text the same way as we humans do – inferring the intent of a statement , meanings of ambiguous words, dealing with synonyms, detecting sarcasm and so on.
In this module ,you will learn the techniques used to solve common semantic processing problem in NLP.
In this Module
In this module, you will study the following concepts:
- Introduction to semantic text processing : Defining meaning , understanding concepts, terms, entities, relations between entities etc.
- Vector Semantics: Representing word as vectors
- Topic Modelling : Identifying ‘topics’ being talked about in text
In this Session
This session, Introduction to Semantic Processing. will introduce you to the following topics:
- What is semantics and why it is important
- Semantic association
- Word sense disambiguation
- The Lesk algoritham
Guidelines for in-module questions
The in -video and in – content question foe this module are not graded .note that graded question are given on a separate page labelled ‘Graded Question’ at the end of this session. The graded Questions in this session. the graded questions in this session will adhere to the following guidelines:
| First Attempt Marks | Second Attempt marks | |
| Question with 2 Attempts | 10 | 5 |
| Question with 1 Attempt | 10 | 0 |
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