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Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
Matteo Pagliardini
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Prakhar Gupta
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Martin Jaggi
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger
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Paul Youssef
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Iryna Gurevych
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Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
Kamil Bennani-Smires
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Claudiu Musat
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Andreea Hossmann
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Michael Baeriswyl
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Martin Jaggi
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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Mikhail Khodak
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Nikunj Saunshi
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Yingyu Liang
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Tengyu Ma
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Brandon Stewart
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Sanjeev Arora
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Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia
Dan Iter
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Jong Yoon
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Dan Jurafsky
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Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario
Deepthi Karkada
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Ramesh Manuvirakurike
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Kallirroi Georgila
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Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task
Ramesh Manuvinakurike
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Trung Bui
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Walter Chang
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Kallirroi Georgila
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Embedding Individual Table Columns for Resilient SQL Chatbots
Bojan Petrovski
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Ignacio Aguado
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Andreea Hossmann
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Michael Baeriswyl
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Claudiu Musat
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Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task
Chi-kiu Lo
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Michel Simard
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Darlene Stewart
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Samuel Larkin
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Cyril Goutte
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Patrick Littell
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http://github.com/epfml/
http://www.cs.toronto.edu/
http://www.cs.toronto.edu/
Field Of Study
Linguistic Trends
Discourse
Embeddings
Syntax
Task
Semantic Similarity
Information Retrieval
Sentiment Analysis
Question Answering
Approach
Deep Learning
Generative Model
Unsupervised Learning
Language
English
Dataset
News
Twitter
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