Results 151 to 160 of about 787,502 (308)

Short Text Paraphrase Identification Model Based on RDN-MESIM. [PDF]

Comput Intell Neurosci, 2021
Li J, Zhang D, Wulamu A.
europepmc   +1 more source

Text-to-text semantic similarity for automatic short answer grading [PDF]

, 2009
Michael Mohler, Rada Mihalcea
openalex   +1 more source

Influence of Cooling Rate on Primary Silicon Size in Hypereutectic Al–Si Alloy Fabricated by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Al–Si alloys are particularly in demand for automotive and electronic applications, thanks to their excellent wear and thermal properties. Nevertheless, when processed by conventional methods with low cooling rates, the coarse primary Si phases are responsible for increasing brittleness and inducing crack propagation.
Layla Shams Tisha, Daniel Knoop, Nils Ellendt, Anastasiya Toenjes   +3 more
wiley   +1 more source

A Method of Short Text Representation Fusion with Weighted Word Embeddings and Extended Topic Information. [PDF]

Sensors (Basel), 2022
Liu W, Pang J, Du Q, Li N, Yang S.
europepmc   +1 more source

A comparison of human and computer marking of short free-text student responses [PDF]

, 2010
Philip Butcher, Sally Jordan
openalex   +1 more source

Intermetallic Compound Layer Morphology and Distribution in Friction‐Welded Steel–Aluminum Components

Advanced Engineering Materials, EarlyView.
In this study, how friction‐welding parameters (rotational speed, etc.) affect the morphology, distribution, and local thickness of the intermetallic compound layer (IMC‐layer) in friction‐welded steel‐aluminum hybrid components is investigated. In the results, it is shown that lower speeds (700 rpm) lead to a more uniform, thinner IMC‐layer (<0.5 μm),
Christoph Kahra, Armin Piwek, Julius Peddinghaus, Kai Brunotte, Hans Jürgen Maier, Florian Nürnberger, Sebastian Herbst   +6 more
wiley   +1 more source

Emotion Classification in Short English Texts using Deep Learning Techniques [PDF]

arXiv
Detecting emotions in limited text datasets from under-resourced languages presents a formidable obstacle, demanding specialized frameworks and computational strategies. This study conducts a thorough examination of deep learning techniques for discerning emotions in short English texts.
arxiv  

Long-range and short-range dihadron angular correlations in central PbPb collisions at $ \sqrt {{{s_{\text{NN}}}}} $ = 2.76 TeV [PDF]

, 2011
S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, T. Bergauer, M. Dragicevic, J. Erö, C. Fabjan, M. Friedl, R. Frühwirth, V. M. Ghete, J. Hammer, S. Hänsel, M. Hoch, N. Hörmann, J. Hrubec, M. Jeitler, W. Kiesenhofer, M. Krammer, D. Liko, I. Mikulec, M. Pernicka, H. Rohringer, R. Schöfbeck, J. Strauss, A. Taurok, F. A. Teischinger, P. Wagner, W. Waltenberger, G. Walzel, E. Widl, C.-E. Wulz, V. Mossolov, N. Shumeiko, J. Suarez Gonzalez, S. Bansal, L. Benucci, E. A. De Wolf, X. Janssen, J. Maes, T. Maes, L. Mucibello, S. Ochesanu, B. Roland, R. Rougny, M. Selvaggi, H. Van Haevermaet, P. Van Mechelen, N. Van Remortel, F. Blekman, S. Blyweert, J. D’Hondt, O. Devroede, R. Gonzalez Suarez, A. Kalogeropoulos, M. Maes, W. Van Doninck, P. Van Mulders, G. P. Van Onsem, I. Villella, O. Charaf, B. Clerbaux, G. De Lentdecker, V. Dero, A. P. R. Gay, G. H. Hammad, T. Hreus, P. Marage, L. Thomas, C. Vander Velde, P. Vanlaer, V. Adler, A. Cimmino, S. Costantini, M. Grünewald, B. Klein, J. Lellouch, A. Marinov, J. Mccartin, D. Ryckbosch, F. Thyssen, M. Tytgat, L. Vanelderen, P. Verwilligen, S. Walsh, N. Zaganidis, S. Başeğmez, G. Bruno, J. Caudron, L. Ceard, E. Cortina, J. De Favereau De Jeneret, C. Delaere, D. Favart, A. Giammanco, G. Grégoire, J. Hollar, V. Lemaı̂tre, J. Liao   +99 more
openalex   +1 more source

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Advanced Engineering Materials, EarlyView.
It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber   +18 more
wiley   +1 more source

Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers. [PDF]

Int J Mach Learn Cybern, 2023
Bayer M, Kaufhold MA, Buchhold B, Keller M, Dallmeyer J, Reuter C.   +5 more
europepmc   +1 more source