Results 41 to 50 of about 53,994 (254)
Performance of the Charniak-Lease parser on biological text using different training corpora [PDF]
, 2008 POS tagging is used as the first step in many NLP workflows, although the accuracy of tag assignment frequently goes unchecked. We hypothesize that changing the training corpora for a parser will affect its POS tagging of a target corpus.
Alison V. Callahan, Michel Dumontier
core +1 more source
Advanced Science, EarlyView.Dysregulated TCA cycle contributes to Alzheimer's disease (AD) pathogenesis. Here, we show that microglial isocitrate dehydrogenase 1 (IDH1) is a critical driver. Elevated IDH1 disrupts citrate metabolism and mitochondrial function, exacerbating AD pathology.
Qianqian Li +13 more
wiley +1 more source
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing [PDF]
, 2017 We evaluate a semantic parser based on a character-based sequence-to-sequence model in the context of the SemEval-2017 shared task on semantic parsing for AMRs.
Bos, Johan, van Noord, Rik
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Journal of the American Oil Chemists' Society, EarlyView.Cerrado oil is richer in MUFA and antioxidant compounds, while Xingu oil shows higher SFA and enhanced oxidative stability, reinforcing the potential of pequi oil as a sustainable bioactive ingredient. ABSTRACT Pequi (Caryocar brasiliense) is a native fruit widely distributed in Brazilian biomes, specially in Cerrado, known for its high oil yield and ...
Dhayna O. Sobral +8 more
wiley +1 more source
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing [PDF]
, 2019 We propose the first multi-task learning model for joint Vietnamese word segmentation, part-of-speech (POS) tagging and dependency parsing. In particular, our model extends the BIST graph-based dependency parser (Kiperwasser and Goldberg, 2016) with ...
Nguyen, Dat Quoc
core +1 more source
A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging
, 2015 In this paper, we propose a new approach to construct a system of transformation rules for the Part-of-Speech (POS) tagging task. Our approach is based on an incremental knowledge acquisition method where rules are stored in an exception structure and ...
Nguyen, Dai Quoc +3 more
core +1 more source
Journal of the American Oil Chemists' Society, EarlyView.ABSTRACT This study examined whether enzymatic modification of soybean oil (SBO) can be tailored to produce trans‐free fats with physicochemical properties comparable to palm olein, stearin, or palm‐mid fractions (PMFs). US‐grown SBO was modified by lipase‐catalyzed acidolysis using palmitic acid at linearly interpolated substrate molar ratios (C16:0 ...
Ityotagher P. Aondoakaa +2 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley +1 more source
To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging
, 2017 Does normalization help Part-of-Speech (POS) tagging accuracy on noisy, non-canonical data? To the best of our knowledge, little is known on the actual impact of normalization in a real-world scenario, where gold error detection is not available.
Nissim, Malvina +2 more
core +2 more sources
POS tagging of dialectal Arabic [PDF]
Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages - Semitic '05, 2005 Natural language processing technology for the dialects of Arabic is still in its infancy, due to the problem of obtaining large amounts of text data for spoken Arabic. In this paper we describe the development of a part-of-speech (POS) tagger for Egyptian Colloquial Arabic. We adopt a minimally supervised approach that only requires raw text data from
Kevin Duh, Katrin Kirchhoff
openaire +2 more sources