NLP Highlights

NLP Highlights

**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.** Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

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Episoder(145)

16 - Arc-swift: A Novel Transition System for Dependency Parsing

16 - Arc-swift: A Novel Transition System for Dependency Parsing

https://www.semanticscholar.org/paper/Arc-swift-A-Novel-Transition-System-for-Dependency-Qi-Manning/56fc1372a41a46f777ac77859219bb4b76bfd098

7 Jun 201710min

15 - Attention and Augmented Recurrent Neural Networks

15 - Attention and Augmented Recurrent Neural Networks

http://distill.pub/2016/augmented-rnns/

6 Jun 201714min

14 - Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning

14 - Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning

https://arxiv.org/abs/1705.00557

5 Jun 20178min

13 - Question Answering from Unstructured Text by Retrieval and Comprehension

13 - Question Answering from Unstructured Text by Retrieval and Comprehension

https://www.semanticscholar.org/paper/Question-Answering-from-Unstructured-Text-by-Retri-Watanabe-Dhingra/89d06c2996f379c602e64b4243f026cd164400d7

2 Jun 201722min

12 - Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

12 - Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://arxiv.org/abs/1705.02364

1 Jun 201719min

11 - Relation Extraction with Matrix Factorization and Universal Schemas

11 - Relation Extraction with Matrix Factorization and Universal Schemas

https://www.semanticscholar.org/paper/Relation-Extraction-with-Matrix-Factorization-and-Riedel-Yao/52b5eab895a2d9ae24ea72ca72782974a52f90c4

29 Mai 201715min

10 - A Syntactic Neural Model for General-Purpose Code Generation

10 - A Syntactic Neural Model for General-Purpose Code Generation

https://www.semanticscholar.org/paper/A-Syntactic-Neural-Model-for-General-Purpose-Code-Yin-Neubig/c8d0e13de2eaa09a928eff36b99d63f494c2f5ec

26 Mai 201716min

09 - Learning to Generate Reviews and Discovering Sentiment

09 - Learning to Generate Reviews and Discovering Sentiment

https://www.semanticscholar.org/paper/Learning-to-Generate-Reviews-and-Discovering-Senti-Radford-Jozefowicz/664ec878de4b7170712baae4a7821fc2602bba25 https://blog.openai.com/unsupervised-sentiment-neu...

25 Mai 201712min

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