NLP-Bubble
🖨 Natural Language Processing Learning Blog，a Study Bubble to recording learning.
https://github.com/JackHCC/NLP-Bubble
Last synced: about 22 hours ago
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Papers
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DataSet
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Resource
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NLP Task
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Other
- AMR Parsing with an Incremental Joint Model - parser) |
- Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
- Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
- MoNoise: Modeling Noise Using a Modular Normalization System
- Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
- Strong Baselines for Neural Semi-supervised Learning under Domain Shift - supervised-baselines) |
- End-to-End Neural Entity Linking
- CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
- Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
- Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
- MoNoise: Modeling Noise Using a Modular Normalization System
- Understanding Back-Translation at Scale
- Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling
- Black Holes and White Rabbits: Metaphor Identification with Visual Features
- Context-Dependent Sentiment Analysis in User-Generated Videos - lstm) |
- Contextual String Embeddings for Sequence Labeling
- Improving Language Understanding by Generative Pre-Training
- Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
- CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
- A Fast and Accurate Vietnamese Word Segmenter
- Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
- Universal Language Model Fine-tuning for Text Classification
- Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
- Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
- AMR Parsing with an Incremental Joint Model - parser) |
- Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
- RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
- Predicting Semantic Relations using Global Graph Properties
- Event2Mind: Commonsense Inference on Events, Intents, and Reactions
- Constituency Parsing with a Self-Attentive Encoder - attentive-parser) |
- Higher-order Coreference Resolution with Coarse-to-fine Inference - coref) |
- Deep Biaffine Attention for Neural Dependency Parsing
- Slot-Gated Modeling for Joint Slot Filling and Intent Prediction - SLU) |
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
- Constituency Parsing with a Self-Attentive Encoder - attentive-parser) |
- Higher-order Coreference Resolution with Coarse-to-fine Inference - coref) |
- Deep Biaffine Attention for Neural Dependency Parsing
- Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems - research-datasets/simulated-dialogue) |
- Strong Baselines for Neural Semi-supervised Learning under Domain Shift - supervised-baselines) |
- End-to-End Neural Entity Linking
- CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
- Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
- Understanding Back-Translation at Scale
- Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling
- CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
- Universal Language Model Fine-tuning for Text Classification
- Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
- Predicting Semantic Relations using Global Graph Properties
- RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
- A Fast and Accurate Vietnamese Word Segmenter
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