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. 1503.00095
  4. Cited By
Task-Oriented Learning of Word Embeddings for Semantic Relation
  Classification

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification

28 February 2015
Kazuma Hashimoto
Pontus Stenetorp
Makoto Miwa
Yoshimasa Tsuruoka
ArXivPDFHTML

Papers citing "Task-Oriented Learning of Word Embeddings for Semantic Relation Classification"

7 / 7 papers shown
Title
SoftNER: Mining Knowledge Graphs From Cloud Incidents
SoftNER: Mining Knowledge Graphs From Cloud Incidents
Manish Shetty
Chetan Bansal
Sumit Kumar
Nikitha Rao
Nachiappan Nagappan
21
13
0
15 Jan 2021
Cross-Lingual Adaptation Using Universal Dependencies
Cross-Lingual Adaptation Using Universal Dependencies
Nasrin Taghizadeh
Heshaam Faili
42
5
0
24 Mar 2020
A Comparison of Word-based and Context-based Representations for
  Classification Problems in Health Informatics
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Aditya Joshi
Sarvnaz Karimi
R. Sparks
Cécile Paris
C. Macintyre
22
14
0
13 Jun 2019
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
Steven Schockaert
DRL
30
19
0
18 Aug 2018
Classifying medical relations in clinical text via convolutional neural
  networks
Classifying medical relations in clinical text via convolutional neural networks
Bin He
Y. Guan
Rui Dai
11
66
0
17 May 2018
Improved Relation Extraction with Feature-Rich Compositional Embedding
  Models
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
Mo Yu
Mark Dredze
CoGe
25
173
0
10 May 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
1