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Metrical Tagging in the Wild: Building and Annotating Poetry Corpora
  with Rhythmic Features
v1v2 (latest)

Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features

17 February 2021
Thomas Haider
ArXiv (abs)PDFHTML

Papers citing "Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features"

8 / 8 papers shown
Title
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic
  Emotions in German and English Poetry
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry
T. Haider
Steffen Eger
Evgeny Kim
Roman Klinger
Winfried Menninghaus
71
32
0
17 Mar 2020
Relative contributions of Shakespeare and Fletcher in Henry VIII: An
  Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns
Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns
Petr Plechác
35
16
0
30 Oct 2019
Learning Rhyming Constraints using Structured Adversaries
Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani
Sanket Vaibhav Mehta
J. Carbonell
Taylor Berg-Kirkpatrick
GAN
41
12
0
15 Sep 2019
Predicting Prosodic Prominence from Text with Pre-trained Contextualized
  Word Representations
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
Aarne Talman
Antti Suni
H. Çelikkanat
Sofoklis Kakouros
Jörg Tiedemann
M. Vainio
65
31
0
06 Aug 2019
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
Jey Han Lau
Trevor Cohn
Timothy Baldwin
Julian Brooke
Adam Hammond
54
74
0
10 Jul 2018
A Comparison of Feature-Based and Neural Scansion of Poetry
A Comparison of Feature-Based and Neural Scansion of Poetry
Manex Agirrezabal
I. Alegria
Mans Hulden
54
13
0
02 Nov 2017
Reporting Score Distributions Makes a Difference: Performance Study of
  LSTM-networks for Sequence Tagging
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers
Iryna Gurevych
81
437
0
31 Jul 2017
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence
  Models
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Harsh Jhamtani
Varun Gangal
Eduard H. Hovy
Eric Nyberg
84
178
0
04 Jul 2017
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