Neural Network Methods for Natural Language Processing

Deep Residual Learning for Image Recognition

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Long Short-Term Memory

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Gradient-based learning applied to document recognition

Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805 · see citing works

Untitled work

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Learning representations by back-propagating errors

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Advances in neural information processing systems 7

Cios, K. J., & Shields, M. E. (1997) · Neurocomputing · doi:10.1016/s0925-2312(97)90018-7 · Cited by 22,089 · see citing works

Multilayer feedforward networks are universal approximators

Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728 · see citing works

Regularization and Variable Selection Via the Elastic Net

Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957 · see citing works

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.123 · Cited by 19,741 · see citing works

Approximation by superpositions of a sigmoidal function

Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883 · see citing works

Advances in Neural Information Processing Systems 25

Zhang, Y., Sutton, C. A., Storkey, A., & Zoubin Ghahramani, A. (2012) · Cited by 12,653 · see citing works

A training algorithm for optimal margin classifiers

Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992 · see citing works

Introduction to Information Retrieval

Manning, C. D., Raghavan, P., & Schütze, H. (2008) · doi:10.1017/cbo9780511809071 · Cited by 11,288 · see citing works

Finding structure in time

Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212 · see citing works

Bidirectional recurrent neural networks

Schuster, M., & Paliwal, K. K. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.650093 · Cited by 10,172 · see citing works

Foundations of statistical natural language processing

Manning, C. D., & Schütze, H. (1999) · Cited by 9,816 · see citing works

Advances in Neural Information Processing Systems 14

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LSTM: A Search Space Odyssey

Greff, K., Srivastava, R. K., Koutnik, J., Steunebrink, B. R., & Schmidhuber, J. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2582924 · Cited by 6,955 · see citing works

Opinion mining and sentiment analysis

Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372 · see citing works

Show and tell: A neural image caption generator

Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298935 · Cited by 6,318 · see citing works

Curriculum learning

Bengio, Y., Louradour, J., Collobert, R., & Weston, J. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning · doi:10.1145/1553374.1553380 · Cited by 5,366 · see citing works

A unified architecture for natural language processing: deep neural networks with multitask learning

Collobert, R., & Weston, J. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390177 · Cited by 5,058 · see citing works

Deep visual-semantic alignments for generating image descriptions

Karpathy, A., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298932 · Cited by 4,902 · see citing works

Backpropagation through time: what it does and how to do it

Werbos, P. J. (1990) · Proceedings of the IEEE · doi:10.1109/5.58337 · Cited by 4,879 · see citing works

WordNet

(1998) · The MIT Press eBooks · doi:10.7551/mitpress/7287.001.0001 · Cited by 4,851 · see citing works

Distributional Structure

Harris, Z. S. (1954) · <i>WORD</i> · doi:10.1080/00437956.1954.11659520 · Cited by 4,807 · see citing works

Convolutional networks for images, speech, and time series

LeCun, Y., & Bengio, Y. (1998) · HAL · doi:10.5555/303568.303704 · Cited by 4,637 · see citing works

The approximation of one matrix by another of lower rank

Eckart, C., & Young, G. (1936) · Psychometrika · doi:10.1007/bf02288367 · Cited by 4,497 · see citing works

Regression Shrinkage and Selection via The Lasso: A Retrospective

Tibshirani, R. J. (2011) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2011.00771.x · Cited by 3,601 · see citing works

Speech and language processing

Politt, R., Pollock, J., & Waller, E. (2010) · Taylor & Francis eBooks · doi:10.4324/9780203461891_chapter_3 · Cited by 3,597 · see citing works

Supervised Sequence Labelling with Recurrent Neural Networks

Graves, A. (2012) · Studies in Computational Intelligence · doi:10.1007/978-3-642-24797-2 · Cited by 3,120 · see citing works

Understanding Machine Learning: From Theory to Algorithms

Shalev-Shwartz, S., & Ben-David, S. (2014) · doi:10.1017/cbo9781107298019 · Cited by 3,115 · see citing works

Some methods of speeding up the convergence of iteration methods

Polyak, B. T. (1964) · USSR Computational Mathematics and Mathematical Physics · doi:10.1016/0041-5553(64)90137-5 · Cited by 2,867 · see citing works

From Frequency to Meaning: Vector Space Models of Semantics

Turney, P. D., & Pantel, P. (2010) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2934 · Cited by 2,845 · see citing works

Introductory Lectures on Convex Optimization

Nesterov, Y. E. (2004) · Applied optimization · doi:10.1007/978-1-4419-8853-9 · Cited by 2,734 · see citing works

Advances in Neural Information Processing Systems 20

Bonilla, E. V., Chai, K. M. A., & Williams, C. K. I. (2008) · neural information processing systems · Cited by 2,701 · see citing works

Practical Recommendations for Gradient-Based Training of Deep Architectures

Bengio, Y. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8_26 · Cited by 2,259 · see citing works

Multilayer feedforward networks with a nonpolynomial activation function can approximate any function

Leshno, M., Lin, V. Y., Pinkus, A., & Schocken, S. (1993) · Neural Networks · doi:10.1016/s0893-6080(05)80131-5 · Cited by 2,121 · see citing works

An empirical study of smoothing techniques for language modeling

Chen, S. F., & Goodman, J. (1999) · Computer Speech & Language · doi:10.1006/csla.1999.0128 · Cited by 2,100 · see citing works

Stochastic Gradient Descent Tricks

Bottou, L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-35289-8_25 · Cited by 2,097 · see citing works

Discriminative training methods for hidden Markov models

Collins, M. (2002) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/1118693.1118694 · Cited by 1,863 · see citing works

The PASCAL Recognising Textual Entailment Challenge

Dagan, I., Glickman, O., & Magnini, B. (2006) · Lecture notes in computer science · doi:10.1007/11736790_9 · Cited by 1,674 · see citing works

Design Challenges and Misconceptions in Named Entity Recognition

Ratinov, L., & Roth, D. (2009) · Conference on Computational Natural Language Learning · doi:10.3115/1596374.1596399 · Cited by 1,640 · see citing works

Extensions of recurrent neural network language model

Mikolov, T., Kombrink, S., Burget, L., Černocký, J., & Khudanpur, S. P. (2011) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2011.5947611 · Cited by 1,594 · see citing works

Improved backing-off for M-gram language modeling

Kneser, R., & Ney, H. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1995.479394 · Cited by 1,471 · see citing works

Improving deep neural networks for LVCSR using rectified linear units and dropout

Dahl, G. E., Sainath, T. N., & Hinton, G. E. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6639346 · Cited by 1,310 · see citing works

Improving Distributional Similarity with Lessons Learned from Word Embeddings

Levy, O., Goldberg, Y., & Dagan, I. (2015) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00134 · Cited by 1,307 · see citing works

Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL

Turney, P. D. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44795-4_42 · Cited by 1,305 · see citing works

A Primer on Neural Network Models for Natural Language Processing

Goldberg, Y. (2016) · Journal of Artificial Intelligence Research · doi:10.1613/jair.4992 · Cited by 1,259 · see citing works

Foundations of Machine Learning

(2012) · The MIT Press eBooks · doi:10.7551/mitpress/8291.003.0006 · Cited by 1,102 · see citing works

Word association norms, mutual information, and lexicography

Church, K. W., & Hanks, P. (1989) · Proceedings of the 27th annual meeting on Association for Computational Linguistics - · doi:10.3115/981623.981633 · Cited by 1,094 · see citing works

Feature hashing for large scale multitask learning

Weinberger, K. Q., Dasgupta, A., Langford, J. C., Smola, A. J., & Attenberg, J. (2009) · International Conference on Machine Learning · doi:10.1145/1553374.1553516 · Cited by 928 · see citing works

Efficient BackProp

LeCun, Y., Bottou, L., Orr, G., & Müller, K. R. (1998) · Lecture notes in computer science · doi:10.1007/3-540-49430-8_2 · Cited by 920 · see citing works

Coarse-to-fine n -best parsing and MaxEnt discriminative reranking

Charniak, E., & Johnson, M. S. (2005) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/1219840.1219862 · Cited by 876 · see citing works

Statistical Machine Translation

Koehn, P. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815829 · Cited by 874 · see citing works

Recursive distributed representations

Pollack, J. B. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90005-k · Cited by 848 · see citing works

Extracting semantic representations from word co-occurrence statistics: A computational study

Bullinaria, J. A., & Levy, J. P. (2007) · Behavior Research Methods · doi:10.3758/bf03193020 · Cited by 823 · see citing works

Online large-margin training of dependency parsers

McDonald, R., Crammer, K., & Pereira, F. M. B. (2005) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/1219840.1219852 · Cited by 813 · see citing works

A bit of progress in language modeling

Goodman, J. (2001) · Computer Speech and Language · doi:10.1006/csla.2001.0174 · Cited by 744 · see citing works

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Linzen, T., Emmanuel Dupoux, A., & Goldberg, Y. (2016) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00115 · Cited by 733 · see citing works

Discriminative Reranking for Natural Language Parsing

Collins, M., & Koo, T. (2005) · Computational Linguistics · doi:10.1162/0891201053630273 · Cited by 702 · see citing works

Distributional Memory: A General Framework for Corpus-Based Semantics

Baroni, M., & Lenci, A. (2010) · Computational Linguistics · doi:10.1162/coli_a_00016 · Cited by 660 · see citing works

Purely Functional Data Structures

Okasaki, C. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511530104 · Cited by 635 · see citing works

Multitask Learning

Caruana, R. (1998) · Learning to Learn · doi:10.1007/978-1-4615-5529-2_5 · Cited by 577 · see citing works

Neural Probabilistic Language Models

Bengio, Y., Schwenk, H., Senécal, J.-S., Morin, F., & Gauvain, J. (2006) · Springer eBooks · doi:10.1007/3-540-33486-6_6 · Cited by 548 · see citing works

A maximum entropy approach to adaptive statistical language modelling

Rosenfeld, R. (1996) · Computer Speech & Language · doi:10.1006/csla.1996.0011 · Cited by 546 · see citing works

Predicting Structured Data

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Computational methods in authorship attribution

Koppel, M., Schler, J., & Argamon, S. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20961 · Cited by 528 · see citing works

Dropout improves Recurrent Neural Networks for Handwriting RecognitionPreprint

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Search-based structured prediction

Daumé, H., Langford, J. C., & Marcu, D. (2009) · Machine Learning · doi:10.1007/s10994-009-5106-x · Cited by 465 · see citing works

The Distributional Hypothesis

Sahlgren, M. (2008) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 459 · see citing works

Algorithms for Deterministic Incremental Dependency Parsing

Nivre, J. (2008) · Computational Linguistics · doi:10.1162/coli.07-056-r1-07-027 · Cited by 449 · see citing works

Neural Machine Translation in Linear Time

Kalchbrenner, N., Espeholt, L., Simonyan, K., Oord, A. V. D., Graves, A., & Kavukcuoglu, K. (2016) · arXiv · doi:10.48550/arxiv.1610.10099 · Cited by 414 · see citing works

Italian Journal of Linguistics

Cennamo, M. (2006) · Cited by 350 · see citing works

Unsupervised models for morpheme segmentation and morphology learning

Creutz, M., & Lagus, K. (2007) · ACM Transactions on Speech and Language Processing · doi:10.1145/1187415.1187418 · Cited by 340 · see citing works

Factored language models and generalized parallel backoff

Bilmes, J., & Kirchhoff, K. (2003) · doi:10.3115/1073483.1073485 · Cited by 287 · see citing works

Introduction to Automatic Differentiation and MATLAB Object-Oriented Programming

Neidinger, R. D. (2010) · SIAM Review · doi:10.1137/080743627 · Cited by 277 · see citing works

Transcending Boundaries: Improvisation and Disability in Dance

Whatley, S. (2019) · Pure (Coventry University) · doi:10.1093/oxfordhb · Cited by 265 · see citing works

THE TECHNIQUE OF SEMANTICS.

Firth, J. R. (1935) · Transactions of the Philological Society · doi:10.1111/j.1467-968x.1935.tb01254.x · Cited by 251 · see citing works

Structures, Not Strings: Linguistics as Part of the Cognitive Sciences

Everaert, M. B. H., Huybregts, M. A. C., Chomsky, N. A. D. T., Berwick, R. C., & Bolhuis, J. J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.09.008 · Cited by 247 · see citing works

A high-performance semi-supervised learning method for text chunking

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Fast methods for kernel-based text analysis

Kudo, T., & Matsumoto, Y. (2003) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/1075096.1075100 · Cited by 204 · see citing works

Recognizing textual entailment models and applications

Dagan, I. (2013) · Cited by 200 · see citing works

Smart Reply

Kannan, A., Kurach, K., Ravi, S., Kaufmann, T., Tomkins, A., Miklos, B., Corrado, G. S., Lukacs, L., Ganea, M., Young, P., et al. (2016) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2939672.2939801 · Cited by 182 · see citing works

Dependency Parsing

Kübler, S., McDonald, R., & Nivre, J. (2009) · Synthesis lectures on human language technologies · doi:10.2200/s00169ed1v01y200901hlt002 · Cited by 173 · see citing works

8th Annual Conference of the International Speech Communication Association

Murray, G., & Renals, S. J. (2007) · Cited by 166 · see citing works

Efficient parsing for bilexical context-free grammars and head automaton grammars

Eisner, J. M., & Satta, G. (1999) · doi:10.3115/1034678.1034748 · Cited by 161 · see citing works

Disambiguation of super parts of speech (or supertags)

Joshi, A. K., & Srinivas, B. (1994) · International Conference on Computational Linguistics · doi:10.3115/991886.991912 · Cited by 134 · see citing works

Continuous space language models for statistical machine translation

Schwenk, H., Dchelotte, D., & Gauvain, J. (2006) · International Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics (COLING/ACL) · doi:10.3115/1273073.1273166 · Cited by 131 · see citing works

Similarity-based estimation of word cooccurrence probabilities

Dagan, I., Pereira, F. M. B., & Lee, L. (1994) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/981732.981770 · Cited by 119 · see citing works

Training Deterministic Parsers with Non-Deterministic Oracles

Goldberg, Y., & Nivre, J. (2013) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00237 · Cited by 112 · see citing works

On the Alias Method for Generating Random Variables from a Discrete Distribution

Kronmal, R. A., & Peterson, A. V. (1979) · The American Statistician · doi:10.2307/2683739 · Cited by 88 · see citing works

Recursive hetero-associative memories for translation

Forcada, M. L., & Ñeco, R. P. (1997) · Lecture notes in computer science · doi:10.1007/bfb0032504 · Cited by 84 · see citing works

SemEval-2007 task 06

Litkowski, K., & Hargraves, O. (2007) · doi:10.3115/1621474.1621479 · Cited by 76 · see citing works

Long Short-Term Memory Over Tree StructuresPreprint

Zhu, X., Sobhani, P., & Guo, H. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1503.04881 · Cited by 68 · see citing works

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

Søgaard, A. (2013) · Synthesis lectures on human language technologies · doi:10.2200/s00497ed1v01y201304hlt021 · Cited by 49 · see citing works

Universal Dependencies

Nivre, J. (2025) · HAL (Le Centre pour la Communication Scientifique Directe) · doi:10.57702/iv87i78q · Cited by 47 · see citing works

Facial Ethnicity Classification with Deep Convolutional Neural Networks

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Improved CCG Parsing with Semi-supervised Supertagging

Lewis, M., & Steedman, M. J. (2014) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00186 · Cited by 40 · see citing works

Linguistic Structure Prediction

Smith, N. A. (2011) · Synthesis lectures on human language technologies · doi:10.2200/s00361ed1v01y201105hlt013 · Cited by 33 · see citing works

Rule refinement with recurrent neural networks

Giles, C. L., & Omlin, C. W. P. (2002) · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · doi:10.1109/icnn.1993.298658 · Cited by 31 · see citing works

Linguistic Fundamentals for Natural Language Processing

Bender, E. M. (2013) · Synthesis lectures on human language technologies · doi:10.1007/978-3-031-02150-3 · Cited by 28 · see citing works

Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing

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A study of English word category prediction based on neural networks

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Syntax-based Statistical Machine Translation

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A short floating-point type in C++

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Sparse Non-negative Matrix Language Modeling

Pelemans, J., Shazeer, N., & Chelba, C. I. (2016) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00102 · Cited by 5 · see citing works

Kernel Methods

Cristianini, N., Shawe-Taylor, J. S., & Saunders, C. J. (2011) · IGI Global eBooks · doi:10.4018/9781599040424.ch001 · Cited by 1 · see citing works

A survey of deep learning techniques for autonomous driving

Grigorescu, S., Trasnea, B., Cocias, T., & Macesanu, G. (2020) · Journal of Field Robotics · doi:10.1002/rob.21918 · Cited by 1,809 · see citing works

Natural language processing: state of the art, current trends and challenges

Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13428-4 · Cited by 1,823 · see citing works

A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2979670 · Cited by 1,836 · see citing works

Attention in Natural Language Processing

Galassi, A., Lippi, M., & Torroni, P. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3019893 · Cited by 678 · see citing works

scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data

Yang, F., Wang, W., Wang, F., Fang, Y., Tang, D., Huang, J., Lu, H., & Yao, J. (2021) · doi:10.1101/2021.12.05.471261 · Cited by 617 · see citing works

Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

Ha, H. D., Prasad, P., Maag, A., & Alsadoon, A. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.10.003 · Cited by 627 · see citing works

Applying neural-network-based machine learning to additive manufacturing: current applications, challenges, and future perspectives

Qi, X., Chen, G., Li, Y., Cheng, X., & Li, C. (2019) · Engineering · doi:10.1016/j.eng.2019.04.012 · Cited by 529 · see citing works

Analysis Methods in Neural Language Processing: A Survey

Belinkov, Y., & Glass, J. R. (2019) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00254 · Cited by 485 · see citing works

The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms

van Atteveldt, W., van der Velden, M. A. C. G., & Boukes, M. (2021) · Communication Methods and Measures · doi:10.1080/19312458.2020.1869198 · Cited by 420 · see citing works

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals

Michielli, N., Acharya, U. R., & Molinari, F. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.01.013 · Cited by 385 · see citing works

Firm-Level Exposure to Epidemic Diseases: COVID-19, SARS, and H1N1

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A Deep Look into neural ranking models for information retrieval

Guo, J., Fan, Y., Pang, L., Yang, L., Ai, Q., Zamani, H., Wu, C. H., Croft, W. B., & Cheng, X. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.102067 · Cited by 380 · see citing works

A CNN-BiLSTM Model for Document-Level Sentiment Analysis

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Neural Machine Translation

Koehn, P. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108608480 · Cited by 318 · see citing works

Adversarial Attacks on Deep Learning Models in Natural Language Processing: A SurveyPreprint

Zhang, W. E., Sheng, Q. Z., Alhazmi, A., & Li, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.06796 · Cited by 253 · see citing works

The survey: Text generation models in deep learning

Iqbal, T., & Qureshi, S. (2020) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2020.04.001 · Cited by 241 · see citing works

Evaluating the Stability of Embedding-based Word Similarities

Antoniak, M., & Mimno, D. (2018) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00008 · Cited by 221 · see citing works

Natural Language Processing Advancements By Deep Learning: A SurveyPreprint

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Deep learning in law: early adaptation and legal word embeddings trained on large corpora

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OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection

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A survey on aspect-based sentiment classification

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Artificial Neural Network Algorithms for 3D Printing

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What do RNN Language Models Learn about Filler–Gap Dependencies?

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Deep learning based emotion analysis of microblog texts

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The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

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An extensive review of tools for manual annotation of documents

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Deeper Attention to Abusive User Content Moderation

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Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

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Futures of artificial intelligence through technology readiness levels

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Syntactic Structure from Deep Learning

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Developing a Twitter-based traffic event detection model using deep learning architectures

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Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview

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Algorithm-Based Fault Tolerance for Convolutional Neural Networks

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Neural Networks for Entity Matching: A Survey

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Construction of Knowledge Graphs: Current State and Challenges

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Attentive Aspect Modeling for Review-Aware Recommendation

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On technical trading and social media indicators for cryptocurrency price classification through deep learning

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Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

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The Oxford History of Phonology

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A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection

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Deceiving End-to-End Deep Learning Malware Detectors using Adversarial ExamplesPreprint

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Systematic Inequalities in Language Technology Performance across the World’s Languages

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Deep Learning Based Fusion Approach for Hate Speech Detection

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Early Quality Classification and Prediction of Battery Cycle Life in Production Using Machine Learning

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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

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Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews

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Recognition of emotion in music based on deep convolutional neural network

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Accelerated design and characterization of non-uniform cellular materials via a machine-learning based framework

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Sentiment Analysis using Bidirectional LSTM Network

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CodeFill: multi-token code completion by jointly learning from structure and naming sequences

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Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor

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A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling

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Generative Linguistics and Neural Networks at 60: Foundation, Friction, and Fusion

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Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach

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A hand gesture recognition algorithm based on DC-CNN

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Developments leading towards generative phonology

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Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender

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Scheduled Multi-Task Learning: From Syntax to Translation

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Automatic Multi-class Non-Functional Software Requirements Classification Using Neural Networks

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AI in actuarial science – a review of recent advances – part 2

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AI-Based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities

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Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.

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Using Deep learning for image watermarking attack

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State of the Art of Visual Analytics for eXplainable Deep Learning

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Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks

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Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks

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A comparative evaluation and analysis of three generations of Distributional Semantic Models

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A learning-based multiscale method and its application to inelastic impact problems

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A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review

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Aspect based sentiment analysis using deep learning approaches: A survey

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Single‐Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty

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Correcting spelling mistakes in Persian texts with rules and deep learning methods

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Brain control of bimanual movement enabled by recurrent neural networks

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Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization

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Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model

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A New Image Captioning Approach for Visually Impaired People

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Question answering method for infrastructure damage information retrieval from textual data using bidirectional encoder representations from transformers

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Eleven quick tips for data cleaning and feature engineering

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Review of Neural Network Modeling of Shape Memory Alloys

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From Feature Engineering and Topics Models to Enhanced Prediction Rates in Phishing Detection

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DeepMEC: Mobile Edge Caching Using Deep Learning

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Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization

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Multi-Task Learning for Sequence Tagging: An Empirical StudyPreprint

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A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

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Generating risk response measures for subway construction by fusion of knowledge and deep learning

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How Smartphone Accelerometers Reveal Aggressive Driving Behavior?—The Key is the Representation

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A Spam Email Detection Mechanism for English Language Text Emails Using Deep Learning Approach

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A derivative-free method for solving elliptic partial differential equations with deep neural networks

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Predicting the future from first person (egocentric) vision: A survey

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Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning

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Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse

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ChatGPT and finetuned BERT: A comparative study for developing intelligent design support systems

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How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking

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aeroBERT-Classifier: Classification of Aerospace Requirements Using BERT

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Neural Representations of Natural Language

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Feed-forward Neural Networks

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Neural Networks with TensorFlow and Keras

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Real World Applications of Neural Networks in Natural Language Processing

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