NLP Highlights
Podcast készítő Allen Institute for Artificial Intelligence
145 Epizód
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24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Közzétéve: 2017. 06. 27. -
23 - Get To The Point: Summarization with Pointer-Generator Networks
Közzétéve: 2017. 06. 26. -
22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith
Közzétéve: 2017. 06. 16. -
21 - Contextual Explanation Networks, with Maruan Al-Shedivat
Közzétéve: 2017. 06. 15. -
20 - A simple neural network module for relational reasoning
Közzétéve: 2017. 06. 14. -
19 - End-to-end Differentiable Proving, with Tim Rocktäschel
Közzétéve: 2017. 06. 12. -
18 - Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
Közzétéve: 2017. 06. 09. -
17 - pix2code: Generating Code from a Graphical User Interface Screenshot
Közzétéve: 2017. 06. 08. -
16 - Arc-swift: A Novel Transition System for Dependency Parsing
Közzétéve: 2017. 06. 07. -
15 - Attention and Augmented Recurrent Neural Networks
Közzétéve: 2017. 06. 06. -
14 - Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
Közzétéve: 2017. 06. 05. -
13 - Question Answering from Unstructured Text by Retrieval and Comprehension
Közzétéve: 2017. 06. 02. -
12 - Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Közzétéve: 2017. 06. 01. -
11 - Relation Extraction with Matrix Factorization and Universal Schemas
Közzétéve: 2017. 05. 29. -
10 - A Syntactic Neural Model for General-Purpose Code Generation
Közzétéve: 2017. 05. 26. -
09 - Learning to Generate Reviews and Discovering Sentiment
Közzétéve: 2017. 05. 25. -
08 - Finding News Citations for Wikipedia
Közzétéve: 2017. 05. 24. -
07 - Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
Közzétéve: 2017. 05. 23. -
06 - Design Challenges for Entity Linking
Közzétéve: 2017. 05. 22. -
05 - Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Közzétéve: 2017. 05. 19.
**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.
