1 |
Detecting Text Formality: A Study of Text Classification Approaches ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Taxonomy Enrichment with Text and Graph Vector Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Studying Taxonomy Enrichment on Diachronic WordNet Versions ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Making Fast Graph-based Algorithms with Graph Metric Embeddings ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Watset: Local-global graph clustering with applications in sense and frame induction
|
|
|
|
BASE
|
|
Show details
|
|
19 |
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Sentiment Index of the Russian Speaking Facebook ...
|
|
|
|
Abstract:
A sentiment index measures the average emotional level in a corpus. We introduce four such indexes and use them to gauge average "positiveness" of a population during some period based on posts in a social network. This article for the first time presents a text-, rather than word-based sentiment index. Furthermore, this study presents the first large-scale study of the sentiment index of the Russian-speaking Facebook. Our results are consistent with the prior experiments for the English language. ... : In Proceedings of the 20th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue'2014). Moscow, Russia. RGGU ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1808.07851 https://arxiv.org/abs/1808.07851
|
|
BASE
|
|
Hide details
|
|
|
|