In natural language processing (NLP), semantics plays a crucial role in tasks such as machine translation, sentiment analysis, and question answering. By understanding the meaning of words and sentences, NLP systems can more accurately translate text from one langua...
Semantic analysis is a particular technique, which is an interesting area of research that associates with Natural Language Processing (NLP), artificial intelligence, opinion mining, text clustering, and classification. Numerous text processing techniques are being used to find out sentiments from the ...
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Semantics is a key component of natural language processing, which involves the interaction between computers and human language. NLP systems utilize semantic analysis techniques to extract meaning from text, enabling tasks such as sentiment analysis, language translation, and question answering. By unders...
Practical Program Analysis (academic course) presented in Innopolis University in 2023 programming-languagecourselatexformal-semanticsprogram-analysislecture-notesformal-grammar UpdatedOct 7, 2024 TeX iamrecursion/absol Star5 Code Issues Pull requests ...
* Semantics in NLP applications: sentiment analysis, abusive language detection, summarization, fact-checking, etc. * Multidisciplinary research on semantics * Grounding and multimodal semantics * Human semantic processing * Semantic annotation, evaluation, and resources ...
Semantics, the study of meaning, is central to research in Natural Language Processing (NLP) and many other fields connected to Artificial Intelligence. Ne
In subject area: Computer Science Evaluation Semantics refers to the process of measuring the effectiveness of a classifying model in tasks such as aspect-level sentiment analysis. It involves metrics like Precision, Recall, F-score, and Accuracy to assess the system's performance in assigning label...
Text classification is a typical problem in NLP, which is to classify a given text into a certain category. In this article, we propose a classification-based training method, which is mainly based on the input text adaptive masking, and then further pre-training and fine-tuning training. Thi...
The main claim of the paper is that no significant progress in NLP semantics is possible without a comprehensive formal theory. It is demonstrated that, while having a great deal to offer to NLP semantics, linguistic semantics lacks such... V Raskin,W Frawley - 《Language》 被引量: 39发表...