Results 91 to 100 of about 31,081 (304)
Enhancing Information Retrieval with Adapted Word Embedding
, 2016 Recent developments on word embedding provide a novel source of information for term-to-term similarity. A recurring question now is whether the provided term associations can be properly integrated in the traditional information retrieval models while ...
Navid Rekabsaz, Rekabsaz, Navid
core +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Refining electronic medical records representation in manifold subspace
BMC Bioinformatics, 2022 Background Electronic medical records (EMR) contain detailed information about patient health. Developing an effective representation model is of great significance for the downstream applications of EMR.
Bolin Wang +5 more
doaj +1 more source
Word Embeddings as Statistical Estimators
Sankhya BWord embeddings are a fundamental tool in natural language processing. Currently, word embedding methods are evaluated on the basis of empirical performance on benchmark data sets, and there is a lack of rigorous understanding of their theoretical properties.
Neil Dey +3 more
openaire +4 more sources
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
CoRR, 2019 Word embeddings are one of the most useful tools in any modern natural language processing expert's toolkit. They contain various types of information about each word which makes them the best way to represent the terms in any NLP task. But there are some types of information that cannot be learned by these models.
Armin Seyeditabari +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir +5 more
wiley +1 more source
New method of text representation model based on neural network
Tongxin xuebao, 2017 Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors ...
Shui-fei ZENG +3 more
doaj +2 more sources
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016 Distilling knowledge from a well-trained cumbersome network to a small one has recently become a new research topic, as lightweight neural networks with high performance are particularly in need in various resource-restricted systems. This paper addresses the problem of distilling word embeddings for NLP tasks.
Lili Mou +5 more
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Word and sentence vector embedding and updating.
, 2020 Word and sentence vector embedding and updating.
Inchae Park (8407338) +2 more
core +1 more source
Visual Word Embedding for Text Classification
, 2021 The question we answer with this paper is: ‘can we convert a text document into an image to take advantage of image neural models to classify text documents?’ To answer this question we present a novel text classification method that converts a document ...
Gallo I. +3 more
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