ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1508.02096
  4. Cited By
Finding Function in Form: Compositional Character Models for Open
  Vocabulary Word Representation

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

9 August 2015
Wang Ling
Tiago Luís
Luís Marujo
Ramón Fernández Astudillo
Silvio Amir
Chris Dyer
A. Black
Isabel Trancoso
    CoGe
ArXivPDFHTML

Papers citing "Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation"

4 / 4 papers shown
Title
Mimicking Word Embeddings using Subword RNNs
Mimicking Word Embeddings using Subword RNNs
Yuval Pinter
Robert Guthrie
Jacob Eisenstein
52
159
0
21 Jul 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
74
394
0
07 Feb 2017
Exploring the Limits of Language Modeling
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
120
1,143
0
07 Feb 2016
Compositional Morphology for Word Representations and Language Modelling
Compositional Morphology for Word Representations and Language Modelling
Jan A. Botha
Phil Blunsom
58
253
0
16 May 2014
1