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🗃 NLP-Papers

Emoji	Description	Emoji	Description
✔️	Perusal	📎	Paper
🔰	Diagonal	📰	Article
💡	Next	🛠	Code
📝	Summary/Notes

The list of entries follows an alphabetical order.

📈 NLP-Blogs

Christopher Olah 📰

dair-ai 📰 📰

Denny Britz 📰

💡 How to generate text: using different decoding methods for language generation with Transformers 📰

Hugging Face - Awesome NLP Paper Discussions 📰

Jay Alammar 📰

Kawin Ethayarajh 📰

Sebastian Ruder 📰

FloydHub Blog 📰

📁 NLP-Datasets

A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations 📝 📎

Affective Neural Response Generation 📝 📎

Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs 📎 🛠

💡 DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset 📝 📎 📝 🛠

💡 Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances 📎

Movie-DiC: a Movie Dialogue Corpus for Research and Development 📎 🛠

Finding Alternative Translations in a Large Corpus of Movie Subtitle 📎 🛠

💡 Polite Dialogue Generation Without Parallel Data 📝 📎 🛠

Politeness Transfer: A Tag and Generate Approach 📎

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank 📝 📎 🛠

The Big Bad NLP Database 🛠

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations 📝 📎 🛠

✔️ Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset 📝 📎 🛠

💬 NLP-Emotion

CARER: Contextualized Affect Representations for Emotion Recognition 📎

Confiding in and Listening to Virtual Agents: The Effect of Personality 📎

Generating Empathetic Responses by Looking Ahead the User’s Sentiment 📎

Text‐based emotion detection: Advances, challenges, and opportunities 📎

🏗 NLP-Evolutive

A comparative study of genetic algorithm in sentiment analysis 📎

📃 NLP-General

A Diversity-Promoting Objective Function for Neural Conversation Models 📎 📝

A Neural Chatbot with Personality 📎

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses 📝 📎

💡 A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation 📎

✔️ A Persona-Based Neural Conversation Model 📝 📎

Recipes for building an open-domain chatbot 📎 📰

A Survey of Available Corpora for Building Data-Driven Dialogue Systems 📎

A Survey of Deep Learning for Scientific Discovery 📎

A Survey on Empathetic Dialogue Systems 📎

💡 Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach 📎

✔️ Enhancing sentient embodied conversational agents with machine learning 📝 📎

Fine-Tuning Language Models from Human Preferences 📎

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks 📎 📰

✔️ Personalizing Dialogue Agents: I have a dog, do you have pets too? 📝 📎

Recipes for building an open-domain chatbot 📎 📰 🛠

💡 Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference 📎 📰

The Role of Syntax in Vector Space Models of Compositional Semantics 📎

The Second Conversational Intelligence Challenge (ConvAI2) 📎

ToxicBot A Conversational Agent to Fight Online Hate Speech

Training Millions of Personalized Dialogue Agents 📎

What makes a good conversation? How controllable attributes affect human judgments 📎 📰 🛠

🏗 NLP-Graphs

A Gentle Introduction to Deep Learning for Graphs 📎

🏗 NLP-Metric

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing 📎

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding 📎

🏗 NLP-Model

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 📎

Spanish Pre-Trained Bert Model and Evaluation Data 📎 📰 🛠

CTRL: A Conditional Transformer Language Model for Controllable Generation 📎 🛠

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation 📎

ELMO: Deep contextualized word representations 📎

💡 EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems 📎 📰 🛠

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding 📎 📰

GPT: Improving language understanding by generative pre-training 📎 🛠

GPT-2: Language Models are Unsupervised Multitask Learners 📎 🛠

Language Models are Few-Shot Learners 📎 📰 🛠

✔️ Plug and Play Language Models: A Simple Approach to Controlled Text Generation 📝 📎 📰 🛠

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents 📎

TRANSFORMERS: Attention Is All You Need 📎

Variational Transformers for Diverse Response Generation 📎 🛠

📈 NLP-Personality

Response Generation based on the Big Five Personality Traits 📎

IEC: Towards Interest-Eliciting Neural Conversational Agents 📎

📈 NLP-Representation

✔️ How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings 📝 📎 📰

📁 NLP-Reports

OpenAI’s Latest Breakthrough is Astonishingly Powerful, but Still Fighting its Flaws 📰

📈 NLP-Techniques

Generating Long Sequences with Sparse Transformers 📎

Generating Wikipedia by Summarizing Long Sequences 📎

📈 NLP-Tutorial

Jay Alammar Notebooks 🛠

PyTorch Sentiment Analysis 🛠

Transformers Notebooks 🛠