Results 131 to 140 of about 7,575 (302)
Large Margin Methods for Part‐of‐Speech Tagging
, 2009 Part of speech tagging, an important component of speech recognition systems, is a sequence labeling problem which involves in- ferring a state sequence from an observation sequence, where the state sequence encodes a labeling, annotation or segmentation
Altun, Y.
core +1 more source
Part-of-speech tagging using Progol
, 1997 A system for ‘tagging’ words with their part-of-speech (POS) tags is constructed. The system has two components: a lexicon containing the set of possible POS tags for a given word, and rules which use a word's context to eliminate possible tags for a word.
openaire +2 more sources
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
AIChE Journal, EarlyView.Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
, 2016 The study described in this paper belongs to the area of computational linguistics. Computational linguistics is a field of artificial intelligence dealing with the logical modeling of natural language from a computational perspective.
Ts. Dr. Herman Wahid
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STATISTICAL ANALYSIS OF PART OF SPEECH (POS) TAGGING ALGORITHMS FOR ENGLISH CORPUS [PDF]
, 2020 -Part of speech (POS) Tagging is the procedure of allocating the portion of speech tag or supplementary philological class signal to every single and every single word in a sentence.
Gauri Mishra, Tyagi Swati, Shankar
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Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
UNSUPERVISED PART OF SPEECH TAGGING FOR PERSIAN [PDF]
, 2020 In this paper we present a rather novel unsupervised method for part of speech (below POS) disambiguation which has been applied to Persian. This method known as Iterative Improved Feedback (IIF) Model, which is a heuristic one, uses only a raw corpus of
Tayebeh Mosavi Miangah +1 more
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Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
UniBA @ KIPoS: A hybrid approach for part-of-speech tagging
, 2020 The Part of Speech tagging operation is becoming increasingly important as it represents the starting point for other high-level operations such as Speech Recognition, Machine Translation, Parsing and Information Retrieval. Although the accuracy of state-
Ferilli S., Izzi G. L.
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Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
, 2018 We consider the problem of part-of-speech tagging for informal, online conversational text. We systematically evaluate the use of large-scale unsupervised word clustering and new lexical features to improve tagging accuracy.
Brendan O'Connor (5361848) +5 more
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