/NLP-Papers

Papers I have read, mainly about NLP. Welcome everyone to supplement in issue.

Multi-Modal NMT

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description (CMT 2016)

Attention-based Multimodal Neural Machine Translation (CMT 2016)

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation (ACL 2017)

An empirical study on the effectiveness of images in Multimodal Neural Machine Translation (ENNLP 2017)

Summarization

Unsupervised Opinion Summarization with Content Planning (AAAI 2021)

Text Generation

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints [ACL 2020]

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model [EMNLP 2019]

RNN

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks [ICLR 2019]

Transformer & Attention

Multi-Granularity Self-Attention for Neural Machine Translation [EMNLP 2019]

Tree Transformer Integrating Tree Structures into Self-Attention [EMNLP 2019]

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned [ACL 2019]

Self-Attention with Structural Position Representations [EMNLP 2019]

Are Sixteen Heads Really Better than One? [NIPS 2019]

Towards Better Modeling Hierarchical Structure for Self-Attention [EMNLP 2019]

An Analysis of Encoder Representations in Transformer-Based Machine Translation [EMNLP 2018]

How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures?[ACL 2018]

Self-Attention with Relative Position Representations [NAACL 2018]

Word Embedding

Single Training Dimension Selection for Word Embedding with PCA [EMNLP 2019]

Improving Word Embedding by Adversarial Training [NIPS 2018]

Knowledge Graph Embedding

Knowledge Graph Embedding Based Question Answering [WSDM 2019]

Sentiment Analysis

Relational Graph Attention Network for Aspect-based Sentiment Analysis [ACL 2020]

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis [EMNLP 2019]

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks [EMNLP 2019]

CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis [EMNLP 2019]

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks [EMNLP 2019]

Attentional Encoder Network for Targeted Sentiment Classification

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

Transfer Capsule Network for Aspect Level Sentiment Classification [ACL 2019]

Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis [ACL 2019]

Multi-grained Attention Network for Aspect-LevelSentiment Classification [EMNLP 2018]

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis [EMNLP 2018]

A Position-aware Bidirectional Attention Network for Aspect-levelSentiment Analysis [COLING 2018]

Neural Machine Translation

Neural Machine Translation [Tutorials by Philipp Koehn]

Neural Machine Translation by Jointly Learning to Align and Translate [ICLR 2015]

Adversarial Attack

FREELB: ENHANCED ADVERSARIAL TRAINING FOR LANGUAGE UNDERSTANDING [ICLR 2020 under review]

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment [AAAI 2020]

MIXUP INFERENCE: BETTER EXPLOITING MIXUP TO DEFEND ADVERSARIAL ATTACKS [ICLR 2020 under review] TODO

On the Robustness of Self-Attentive Models [ACL 2019]

TEXTBUGGER: Generating Adversarial Text Against Real-world Applications [NDSS 2019]

Generating Natural Language Adversarial Examples [EMNLP 2018]

Adversarial examples in the physical world [ICLR 2017]

CROSS-LINGUAL Word Embedding

CROSS-LINGUAL ALIGNMENT VS JOINT TRAINING: A COMPARATIVE STUDY AND A SIMPLE UNIFIED FRAMEWORK

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces [ACL 2019]

Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data [AAAI 2019]