Semantic processing
Semantic Processing in NLP Semantic processing is the branch of Natural Language Processing (NLP) that focuses on understanding the meaning of words, phrases, and sentences beyond just their syntactic structure. It ensures that machines interpret language in a way that reflects its intended meaning, helping in tasks like text comprehension, machine translation, and information retrieval. Key Aspects of Semantic Processing Word Sense Disambiguation (WSD) : Determines the correct meaning of a word based on context. Example: "I went to the bank to withdraw money." → Bank = Financial Institution "The boat drifted towards the bank." → Bank = River Edge Named Entity Recognition (NER) : Identifies entities like names, places, and organizations. Example: "Microsoft was founded by Bill Gates." "Microsoft" → ORG (Organization) "Bill Gates" → PER (Person) Coreference Resolution : Identifies relationships between w...