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When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
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Barbara Plank
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection
Erik-Lân Do Dinh
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Steffen Eger
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Iryna Gurevych
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All-in-one: Multi-task Learning for Rumour Verification
Elena Kochkina
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Maria Liakata
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Arkaitz Zubiaga
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Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
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Claudio Delli Bovi
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Roberto Navigli
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Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning
Sotiris Lamprinidis
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Daniel Hardt
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Dirk Hovy
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Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation
Murhaf Fares
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Stephan Oepen
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Erik Velldal
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Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Anne Lauscher
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Goran Glavaš
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Simone Paolo Ponzetto
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Kai Eckert
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Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
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Patrick Verga
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Daniel Andor
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David Weiss
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Andrew McCallum
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel
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Anders Søgaard
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Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
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Yoav Goldberg
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Tal Linzen
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Training Data Augmentation for Low-Resource Morphological Inflection
Toms Bergmanis
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Katharina Kann
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Hinrich Schütze
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Sharon Goldwater
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Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Claudia Schulz
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Steffen Eger
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Johannes Daxenberger
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Tobias Kahse
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Iryna Gurevych
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Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
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Johannes Daxenberger
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Iryna Gurevych
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Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein
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Anders Søgaard
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Multitask Parsing Across Semantic Representations
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
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Miguel Ballesteros
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KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets
Thomas Nyegaard-Signori
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Casper Veistrup Helms
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Johannes Bjerva
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Isabelle Augenstein
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A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar
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Suraj Maharjan
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Adrian Pastor López-Monroy
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Thamar Solorio
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Predicting misreadings from gaze in children with reading difficulties
Joachim Bingel
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Maria Barrett
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Sigrid Klerke
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A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts
Wafia Adouane
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Simon Dobnik
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Jean-Philippe Bernardy
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Nasredine Semmar
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Multi-task learning for historical text normalization: Size matters
Marcel Bollmann
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Anders Søgaard
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Joachim Bingel
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End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture
Gaku Morio
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Katsuhide Fujita
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https://github.com/bplank/
https://github.com/bplank/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Named Entity Recognition
Relation Extraction
Machine Translation
Language
English
French
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