NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations
Paul Michel
|
Abhilasha Ravichander
|
Shruti Rijhwani
|
Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
Rep4NLP |
WS |
SIG: SIGREP
Citations
URL
No Citations Yet
https://code.google.com/archive/p/word2vec/
http://www.aclweb.org/anthology/P11-
http://dl.acm.org/citation.cfm?id=1857999.1858119
http://dl.acm.org/citation.cfm?id=2390665.2390688
https://doi.org/10.1145/1008992.1009029
Field Of Study
Linguistic Trends
Embeddings
Task
Information Retrieval
Sentiment Analysis
Language
English
Dataset
News
Similar Papers
Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang
|
Zhiyang Teng
|
Yue Zhang
|
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora
Andrius Mudinas
|
Dell Zhang
|
Mark Levene
|
A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke
|
Sven Buechel
|
Jan Goldenstein
|
Philipp Poschmann
|
Tinghui Duan
|
Peter Walgenbach
|
Udo Hahn
|
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
|
Iryna Gurevych
|
A Joint Model of Conversational Discourse Latent Topics on Microblogs
Jing Li
|
Yan Song
|
Zhongyu Wei
|
Kam-Fai Wong
|