Figure 3.1 from Extraction of synonyms and semantically related
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Figure 3.1: A flow chart of the extraction experiments - "Extraction of synonyms and semantically related words from chat logs"
Automatic information extraction from unstructured mammography reports using distributed semantics - ScienceDirect
Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust – arXiv Vanity
Important Sentence Extraction Using Contextual Semantic Network – topic of research paper in Computer and information sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.
Personalised health document summarisation exploiting Unified Medical Language System and topic-based clustering for mobile healthcare - Gun-Woo Kim, Dong-Ho Lee, 2018
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis – arXiv Vanity
Lexicon‐pointed hybrid N‐gram Features Extraction Model (LeNFEM) for sentence level sentiment analysis - Mutinda - 2021 - Engineering Reports - Wiley Online Library
Importance of Lexical Semantics and Semantic Similarity (Closeness) for SEO – (An SEO Case Study with 30 Websites) - Holistic SEO
Figure 3.1 from Extraction of synonyms and semantically related words from chat logs
Contextual information in the dictionary: A critical approach of the additional example feature in online monolingual English dictionaries with a focus on translators' needs
Usefulness of open domain model for identifying missing software requirements concepts - Zhao - Software: Practice and Experience - Wiley Online Library
8. Analyzing Sentence Structure
A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals
Figure 3.1 from Extraction of synonyms and semantically related words from chat logs
Exploring patterns in dictionary definitions for synonym extraction, Natural Language Engineering
