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СТАТЬИ НЕ ИЗ СПИСКА ПРИВЕТСТВУЮТСЯ!
Ключевые конференции: ACL, EMNLP, NAACL, EACL, CoNLL, ...		Кто беретСсылка
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Векторные представления:
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GloVe: Global Vectors for Word Representation Анастасия Рысьмятова (10)http://www-nlp.stanford.edu/pubs/glove.pdf
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Linear Algebraic Structure of Word Senses, with Applications to PolysemyНикита Шаповалов (10, больше времени)https://arxiv.org/abs/1601.03764
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Distributed Representations of Sentences and DocumentsНиколай Поповhttp://cs.stanford.edu/~quocle/paragraph_vector.pdf
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Learning Deep Structured Semantic Models for Web Search using Clickthrough DataВсеволод Викулин (10)
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/cikm2013_DSSM_fullversion.pdf
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Neural Word Embedding as Implicit Matrix Factorization
https://levyomer.files.wordpress.com/2014/09/neural-word-embeddings-as-implicit-matrix-factorization.pdf
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Неросетевые подходы:
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A Neural Probabilistic Language Modelhttp://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf
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Sequence to Sequence Learning with Neural NetworksРуслан Камаловhttps://arxiv.org/pdf/1409.3215.pdf
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Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankАида Гетоеваhttp://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf
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Memory Networks (for Question Answering)https://arxiv.org/pdf/1410.3916.pdf
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Globally Normalized Transition-Based Neural NetworksНадежда Чиркова (17, больше вреемни)https://arxiv.org/pdf/1603.06042.pdf
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Олег Иванов (17)https://arxiv.org/abs/1609.05473
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Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Александра Степина (май, если будет)https://arxiv.org/pdf/1611.04558.pdf
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Тематическое моделирование:
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A Biterm Topic Model for Short TextsАнжелика Сухарева
https://pdfs.semanticscholar.org/f499/5dc2a4eb901594578e3780a6f33dee02dad1.pdf
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A Topic Model for Word Sense Disambiguationhttp://www.aclweb.org/anthology/D07-1109
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Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Qualityhttp://www.aclweb.org/anthology/E14-1056
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Integrating Topics and Syntax http://psiexp.ss.uci.edu/research/papers/composite.pdf
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Mining Contrastive Opinions on Political Texts using Cross-Perspective Topic ModelТаснима Садекова (май)
https://pdfs.semanticscholar.org/ef40/1fdf8e856989e7704e3bde7e991a79675d32.pdf
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Машинный перевод:
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Neural Mаchine Translation by Jointly Learning to Align and Translatehttps://arxiv.org/pdf/1409.0473.pdf
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Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationАят Оспановhttps://arxiv.org/pdf/1609.08144.pdf
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BLEU: a Method for Automatic Evaluation of Machine TranslationВадим Журавлёвhttp://www.aclweb.org/anthology/P02-1040.pdf
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A Simple, Fast, and Effective Reparameterization of IBM Model 2http://www.aclweb.org/anthology/N13-1073
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Разное:
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Discovering Word Senses from TextАнтон Андрейцев
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.12.6771&rep=rep1&type=pdf
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Modelling Compression with Discourse ConstraintsАдиль Тлеубаевhttp://www.aclweb.org/anthology/D07-1001
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Structured Perceptron with Inexact Search (POS-tagging)http://www.aclweb.org/anthology/N12-1015
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Using Semantic Roles to Improve Question Answeringhttp://www.aclweb.org/anthology/D07-1002
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Easy Contextual Intent Prediction and Slot Detectionhttp://www.cs.toronto.edu/~aditya/publications/contextual.pdf
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First Story DetectionВладислав Амелин (май)
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