Interesting Stuff at EMNLP (part II)

Learning To Split and Rephrase From Wikipedia Edit History

Neural Latent Extractive Document Summarization

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks

QBLink: A dataset and baselines for sequential open-domain question answering

Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection

Disambiguated skip-gram model

Memory, Show the Way: Memory Based Few Shot Word Representation Learning

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention

Streaming word similarity mining on the cheap

Dissecting Contextual Word Embeddings: Architecture and Representation

Structured Alignment Networks for Matching Sentences

Universal Sentence Encoder

Learning Sentiment Memories for Sentiment Modification without Parallel Data

Cross-Pair Text Representations for Answer Sentence Selection

Context and Copying in Neural Machine Translation

Training Deeper Neural Machine Translation Models

Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Multi-Head Attention with Disagreement Regularization

Generating Natural Language Adversarial Examples

Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation

Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification

Prediction Improves Simultaneous Neural Machine Translation

Iterative Document Representation Learning Towards Summarization with Polishing

APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning

Controlling Length in Abstractive Summarization Using a Convolutional Neural Network

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

Frustratingly Easy Model Ensemble for Abstractive Summarization

MSMO: Multimodal Summarization with Multimodal Output

Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks

Improving Neural Abstractive Document Summarization with Structural Regularization

Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Unsupervised Natural Language Generation with Denoising Autoencoders

Towards a Better Metric for Evaluating Question Generation Systems

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation

QuaSE: Sequence Editing under Quantifiable Guidance

Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity

Paraphrase Generation with Deep Reinforcement Learning

A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding

Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement

Bottom-Up Abstractive Summarization

Word Sense Induction with Neural biLM and Symmetric Patterns

Similarity-Based Reconstruction Loss for Meaning Representation

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop

Grammar Induction with Neural Language Models: An Unusual Replication

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AI Research at Deep Learning lab @ MIPT

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Valentin Malykh

Valentin Malykh

AI Research at Deep Learning lab @ MIPT

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