Results 51 to 60 of about 35,833 (287)
A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory
Entropy, 2020 Name ambiguity, due to the fact that many people share an identical name, often deteriorates the performance of information integration, document retrieval and web search.
Yingying Ma, Youlong Wu, Chengqiang Lu
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Disambiguation of morpho-syntactic features of African American English -- the case of habitual be [PDF]
, 2022 Harrison Santiago +3 more
openalex +2 more sources
InformationTo address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which ...
Qishun Mei, Xuhui Li
doaj +1 more source
Enriching Frame Representations with Distributionally Induced Senses [PDF]
, 2018 We introduce a new lexical resource that enriches the Framester knowledge graph, which links Framnet, WordNet, VerbNet and other resources, with semantic features from text corpora.
Biemann, Chris +3 more
core +1 more source
Ambiguous keyboards for AAC [PDF]
, 2011 Purpose – “Ambiguous keyboards” and “disambiguation processes” are becoming universally recognised through the popularisation of “predictive text messaging” on mobile phones. As this paper shows, although originating in the AT and AAC fields, these terms
Friday, M., Judge, S.
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Improving word sense disambiguation using topic features
, 2016 This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the latent dirichlet allocation (LDA) algorithm on unlabeled data. The features are incorporated into a modified näive Bayes network alongside other features such as part-of ...
Cai, J, Lee, W, Teh, Y
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Exploring feature sets for Turkish word sense disambiguation
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2016 This paper presents an exploration and evaluation of a diverse set of features that inuence word-sense disambiguation (WSD) performance. WSD has the potential to improve many natural language processing (NLP) tasks as being one of the most crucial steps in the area.
Adalı, Eşref +2 more
openaire +3 more sources
Advanced Science, EarlyView.Pulmonary hypertension (PH) is a progressive condition with high morbidity and mortality, largely owing to right ventricular (RV) failure resulting from maladaptive remodeling. Our study provides strong evidence in support of a critical, detrimental role for AXL as a previously unrecognized determinant driving RV fibrotic pathology in PH.
Li‐Wei Wu +17 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source