Who Cited It

Natural Language Processing (almost) from Scratch

2011 · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 3,991 citations · 17 from inside this corpus

Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.

Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Curriculum learning (2009)Curriculum learningClass-based n -gram models of natural language (1992)Class-based n -gram models of…Feature-rich part-of-speech tagging with a cyclic dependency network (2003)Feature-rich part-of-speech t…Three models for the description of language (1956)Three models for the descript…Prediction and Entropy of Printed English (1951)Prediction and Entropy of Pri…Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…RCV1: A New Benchmark Collection for Text Categorization Research (2004)RCV1: A New Benchmark Collect…The Proposition Bank: An Annotated Corpus of Semantic Roles (2005)The Proposition Bank: An Anno…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Head-Driven Statistical Models for Natural Language Parsing (2003)Head-Driven Statistical Model…Automatic Labeling of Semantic Roles (2002)Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (1988)Learning Quickly When Irrelev…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw… (2014)Learning and Transferring Mid…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Recurrent Convolutional Neural Networks for Text Classification (2015)Recurrent Convolutional Neura…Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond (2016)Abstractive Text Summarizatio…Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen… (2017)Deep learning for sentiment analysis: A survey (2018)Deep learning for sentiment a…A Fast and Accurate Dependency Parser using Neural Networks (2014)A Fast and Accurate Dependenc…Deep Contextualized Word Representations (2018)Deep Contextualized Word Repr…A Survey on Deep Learning for Named Entity Recognition (2020)A Survey on Deep Learning for…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …Explaining nonlinear classification decisions with deep Taylor decomposition (2016)Explaining nonlinear classifi…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)Don't count, predict! A syste…
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What this paper cites, inside the corpus

PaperYearCited
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Curriculum learning20095,154
Class-based n -gram models of natural language19922,894
Feature-rich part-of-speech tagging with a cyclic dependency network20032,885
Three models for the description of language19562,804
Prediction and Entropy of Printed English19512,708
Phoneme recognition using time-delay neural networks19892,650
RCV1: A New Benchmark Collection for Text Categorization Research20042,604
The Proposition Bank: An Annotated Corpus of Semantic Roles20052,311
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Head-Driven Statistical Models for Natural Language Parsing20031,861
Automatic Labeling of Semantic Roles20021,652
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm19881,382
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
Convolutional Neural Networks for Sentence Classification201413,987
Neural Architectures for Named Entity Recognition20164,482
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…20143,197
Deep learning for healthcare: review, opportunities and challenges20173,115
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
Convolutional 2D Knowledge Graph Embeddings20182,467
Recurrent Convolutional Neural Networks for Text Classification20152,314
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond20162,233
Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…20172,077
Deep learning for sentiment analysis: A survey20181,918
A Fast and Accurate Dependency Parser using Neural Networks20141,884
Deep Contextualized Word Representations20181,783
A Survey on Deep Learning for Named Entity Recognition20201,534
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444
Explaining nonlinear classification decisions with deep Taylor decomposition20161,413
Don't count, predict! A systematic comparison of context-counting vs. context-predicting …20141,388

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Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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