neural sequence chunker - SERP Analysis

https://people.idsia.ch/~juergen/FKI-148-91ocr.pdf

https://people.idsia.ch/~juergen/very-deep-learning-1991.html

https://github.com/lucidrains/neural-sequence-chunkers-pytorch

https://eecs.csuohio.edu/~sschung/CIS601/NN%20Sequence%20Chunking.pdf

https://www.sciencedirect.com/science/article/pii/S1364661325000324

https://arxiv.org/abs/1701.04027

https://www.semanticscholar.org/paper/Neural-Sequence-Chunkers-Schmidhuber/c69201d091dd92699fd90a17b9e3407319726791

https://ojs.aaai.org/index.php/AAAI/article/view/10995/10854

https://arxiv.org/html/2505.11576v1

https://gwern.net/doc/ai/nn/rnn/1992-schmidhuber.pdf

https://dl.acm.org/doi/10.5555/3298023.3298057

https://www.reddit.com/r/MachineLearning/comments/ko7yaf/r_schmidhubers_blog_post_on_world_models_and/

https://www.bioinf.jku.at/publications/older/2604.pdf

https://github.com/lucidrains/neural-sequence-chunkers-pytorch/pulls

https://intellabs.github.io/nlp-architect/tagging/sequence_tagging.html

https://awspntest.apa.org/record/2025-86306-001

https://en.wikipedia.org/wiki/Recurrent_neural_network

http://proceedings.mlr.press/v32/koutnik14.pdf

https://faculty.sites.iastate.edu/tesfatsi/archive/tesfatsi/DeepLearningInNeuralNetworksOverview.JSchmidhuber2015.pdf

https://deeplearning.cs.cmu.edu/S23/document/readings/LSTM.pdf

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=cc87e14744c799568589d133b93b0e30af103070

https://pmc.ncbi.nlm.nih.gov/articles/PMC4652905/

https://proceedings.neurips.cc/paper/1991/file/2bb232c0b13c774965ef8558f0fbd615-Paper.pdf

https://www.bioinf.jku.at/publications/older/2304.pdf

https://www.researchgate.net/publication/386709266_Neural_Models_for_Sequence_Chunking

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010214

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c61d139a2382760f560164e25e4be264de5dd59f

https://pmc.ncbi.nlm.nih.gov/articles/PMC8176225/

https://mediatum.ub.tum.de/doc/814767/document.pdf

https://www.biorxiv.org/content/10.1101/215392v1

https://home.cs.colorado.edu/~mozer/Research/Selected%20Publications/reprints/SchmidhuberMozerPrelinger1993.pdf

https://www.reddit.com/r/MachineLearning/comments/e3buo3/d_five_major_deep_learning_papers_by_geoff_hinton/

https://openreview.net/pdf?id=S1LVSrcge

https://x.com/SchmidhuberAI/status/1732430359969571014

https://aclanthology.org/2021.nodalida-main.19/

https://www.linkedin.com/posts/j%C3%BCrgen-schmidhuber-39226872_deepseekr1-activity-7291372258533539840-W3-0

https://bpb-us-w2.wpmucdn.com/sites.umassd.edu/dist/a/1298/files/2022/11/Deep-Learning-in-Neural-Networks-An-Overview.pdf

https://peerj.com/preprints/27377.pdf

https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-

https://dl.acm.org/doi/10.1145/3637877

https://www.sciencedirect.com/science/article/pii/S187705092101591X/pdf?md5=ace9720dee1f8aa5d542b36eb997c0ee&pid=1-s2.0-S187705092101591X-main.pdf

https://dspace.mit.edu/bitstream/handle/1721.1/111905/1005139501-MIT.pdf?sequence=1

https://link.springer.com/article/10.1007/s10071-024-01835-z

https://proceedings.neurips.cc/paper/1989/file/45fbc6d3e05ebd93369ce542e8f2322d-Paper.pdf

https://cepdnaclk.github.io/co542-neural-networks-reading-group-e15/slides/06.pdf

https://www.researchgate.net/publication/341341839_Deep_Learning_Our_Miraculous_Year_1990-1991

https://www.coactionslab.com/research/87-top-menu/research/218-sequence-learning-and-chunking

https://colab.research.google.com/github/aurelio-labs/semantic-chunkers/blob/main/docs/00-chunkers-intro.ipynb

https://www.cell.com/trends/cognitive-sciences/pdf/S1364-6613(25)00032-4.pdf

https://svenschmit.com/jax-language-model-rnn

https://elifesciences.org/reviewed-preprints/97894

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010233

https://www.aurelio.ai/learn/semantic-chunkers-intro

https://paperswithcode.com/task/chunking

https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber

https://cdn.aaai.org/ojs/4586/4586-13-7625-1-10-20190707.pdf

https://www.academia.edu/33086170/Deep_learning_in_neural_networks_An_overview

https://openreview.net/forum?id=LceHl9wKmoQ

https://hal.science/hal-04680741/document

https://www.nature.com/articles/s41598-019-55320-6

https://aclanthology.org/C18-1185.pdf

https://towardsdatascience.com/how-to-chunk-text-data-a-comparative-analysis-3858c4a0997a/

https://direct.mit.edu/coli/article-pdf/doi/10.1162/coli_a_00545/2480127/coli_a_00545.pdf

https://europepmc.org/article/med/31836728

https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2016.00136/full

https://scispace.com/pdf/unsupervised-pre-training-of-a-deep-lstm-based-stacked-2mesdohlf3.pdf

http://d2l.ai/chapter_recurrent-neural-networks/sequence.html

https://ijisae.org/index.php/IJISAE/article/download/5241/3965/10299

https://www.dfki.de/~neumann/publications/new-ps/multilingual_neural_question.pdf

https://escholarship.org/content/qt7bn6c9xm/qt7bn6c9xm.pdf

https://docs.chonkie.ai/api-reference/neural-chunker

https://stackoverflow.com/questions/38843440/in-which-scenario-do-you-use-chunking-instead-of-full-parsing

https://spacy.io/

https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=38016&idi=2

https://www.scielo.org.mx/pdf/cys/v28n2/2007-9737-cys-28-02-517.pdf

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/naaclhlt2016-dropout-cameraready.pdf

https://www.worldscientific.com/doi/10.1142/S0219720010004999?srsltid=AfmBOoqjTVWCansCYUW8tBr2TpdpLiBgfqDy4RLA91TZIwdPkcOqdtOH

https://ieeexplore.ieee.org/iel8/6287639/10380310/10786223.pdf

https://huggingface.co/datasets/kenhktsui/test_arxiv_classification

https://docs.science.ai.cam.ac.uk/hands-on-llms/evaluation/10_evaluation/

https://opac.nitk.ac.in/cgi-bin/koha/opac-showmarc.pl?id=91659&viewas=html

https://ftp.math.utah.edu/pub/tex/bib/toc/tallip.html

https://www.wikiwand.com/en/articles/Recurrent_Neural_Network

https://www.scribd.com/document/399475833/sended-to-jamal-iqra-docx

http://pdfs.semanticscholar.org/e536/3b97a0722c9fa92f989eb69f0a3ea8944e68.pdf

https://www2.isical.ac.in/~mtcs-mentor-comm/docs/mtcs-brochure.pdf

https://stackoverflow.com/questions/434287/how-to-iterate-over-a-list-in-chunks?page=2&tab=scoredesc

https://link.springer.com/content/pdf/10.1007/978-3-031-71484-9.pdf

https://www.cortical.io/static/downloads/continuous-online-sequence-learning.pdf

https://www.youtube.com/watch?v=DP454c1K_vQ

https://developer.nvidia.com/blog/deep-learning-nutshell-sequence-learning/

https://ui.adsabs.harvard.edu/abs/2015arXiv151205463C/abstract