Probabilistic Reasoning

Factorie (Scala)
Figaro (Scala)
PyMC4 (Python)
PyMC3 (Python)
Probability (Python)
BayesLoop (Python)
Tweety (Java)
Dimple (Java)
Chimple (Java)
WebPPL (JavaScript)

Probabilistic Programming and Bayesian Methods for Hackers
The Design and Implementation of Probabilistic Programming Languages

Natural Computation

• Cellular Automata
• Evolutionary Computation
• Swarm Intelligence
• Artificial Immune Systems
• Artificial Life
• Quantum Computing
• Systems Biology
• Synthetic Biology
• Cellular Computing
• DNA Computing
• Amorphous Computing
• Membrane Computing
• Neural Computation

Global Optimization

Essentials of Metaheuristics

Conversational Dialogs

• A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
• Neural Responding Machine for Short-Text Conversation
• A Neural Conversation Model

Machine Translation

• Sequence to Sequence Learning with Neural Networks
• Neural Machine Translation by Jointly Learning to Align and Translate
• A Convolutional Encoder Model for Neural Machine Translation
• Convolutional Sequence to Sequence Learning
• Convolutional Over Recurrent Encoder for Neural Machine Translation
• Neural Machine Translation
• OpenNMT

Mining Knowledge Graphs from Text

Mining Knowledge Graphs from Text

Entity Linking and Disambiguation

• Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
• Deep Joint Entity Disambiguation with Local Neural Attention
• Joint Learning of the Embedding of Words and Entities for NE Disambiguation
• A Survey of Named Entity Recognition and Classification
• Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
• Knowledge Base Population: Successful Approaches and Challenges
• SpeedRead: A Fast Named Entity Recognition Pipeline
• Capturing Semantic Similarity for Entity Linking with CNNs
• On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings
• Bi-Directional LSTM-CRF Models for Sequence Tagging
• Neural Architectures for Named Entity Recognition
• End-to-End Sequence Labeling via Bi-Directional LSTM-CNNs-CRF

Natural Language Understanding

• A Hierarchical Neural Autoencoder for Paragraphs & Documents
• LSTM Over Tree Structures
• Low-Dimensional Embeddings of Logic
• Markov Logic Networks
• A Neural Probabilistic Language Model
• Retrofitting Word Vectors to Semantic Lexicons
• Unsupervised Learning of the Morphology of Natural Language
• Computational Grounded Cognition
• Statistical Language Models Based On Neural Networks
• Understanding Natural Language Understanding
• NLU at Edinburgh
• Deep Learning for Comprehension

Natural Language Generation

• Survey of Natural Language Generation
• Generating Sentences from Semantic Vector Representations
• Deep Learning for NLG
• Generating Text using RNNs
• Text Generator Guide
• NLG Components Add Value
• Data-to-Document
• NLG System Tools
• NLG vs Templates
• Challenges of surface realisation
• SIGGen
• An ethical checklist for robot journalism
• Automation in the newsroom
• Seq2SQL
• Learning to Write
• New Generalization
• NLG at Edinburgh