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. 2011.12432
  4. Cited By
Enhancing deep neural networks with morphological information

Enhancing deep neural networks with morphological information

24 November 2020
Matej Klemen
Luka Krsnik
Marko Robnik-Šikonja
ArXivPDFHTML

Papers citing "Enhancing deep neural networks with morphological information"

4 / 4 papers shown
Title
Applying Occam's Razor to Transformer-Based Dependency Parsing: What
  Works, What Doesn't, and What is Really Necessary
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary
Stefan Grünewald
Annemarie Friedrich
Jonas Kuhn
42
11
0
23 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
199
1,652
0
16 Mar 2020
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
Houquan Zhou
Yu Zhang
Zhenghua Li
Min Zhang
25
24
0
06 Mar 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
879
0
03 May 2018
1