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A Feasibility Study of Using an In-Ear EEG System for a Quantitative Assessment of Stress and Mental Workload. [PDF]
Fu Z +6 more
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Zero-shot reranking with dense encoder models for news background linking. [PDF]
Essam M, Elsayed T.
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A context-augmented large language model for accurate precision oncology medicine recommendations. [PDF]
Jun H +19 more
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Investigating Lexical NP-Chunking with Universal Dependencies for Portuguese
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022), 2022A tarefa de análise superficial consiste em recuperar uma quantidade limitada de informações sintáticas de frases escritas em linguagem natural. Este trabalho tem como objetivo identificar e extrair um tipo particular de sintagma nominal denominado sintagma nominal lexical (SNL).
Aleksander Tomaz de Souza +1 more
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Lexical noun phrase chunking with Universal Dependencies for Portuguese
Anais do XIV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2023), 2023Partial parsing retrieves a limited amount of syntactic information from a sentence. This project describes the identification of a specific type of noun phrase, through partial syntactic analysis, defined as a lexical noun phrase (NPL), in texts written in Brazilian Portuguese, and annotated according to the Universal Dependency (UD) formalism.
Aleksander Tomaz de Souza +1 more
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The Mnemonic Effect of Noticing Alliteration in Lexical Chunks
Applied Linguistics, 2008If good proficiency in L2 entails the acquisition not only of many single words but of many lexical chunks as well, it must then be asked how all this additional lexis is to be committed to long-term memory in the limited time available on non-intensive classroom-based language courses.
Lindstromberg, Seth, Boers, Frank
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Chinese word segmentation as morpheme-based lexical chunking
Information Sciences, 2008Chinese word segmentation plays an important role in many Chinese language processing tasks such as information retrieval and text mining. Recent research in Chinese word segmentation focuses on tagging approaches with either characters or words as tagging units.
G FU, C KIT, J WEBSTER
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