NLPExplorer

Deep multi-task learning with low level tasks supervised at lower layers

Anders Søgaard | Yoav Goldberg |

Paper Details:

Month: August
Year: 2016
Location: Berlin, Germany
Venue: ACL |

Citations

URL

Keystroke dynamics as signal for shallow syntactic parsing
Barbara Plank |

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection
Erik-Lân Do Dinh | Steffen Eger | Iryna Gurevych |

Contextual String Embeddings for Sequence Labeling
Alan Akbik | Duncan Blythe | Roland Vollgraf |

Robust Lexical Features for Improved Neural Network Named-Entity Recognition
Abbas Ghaddar | Phillippe Langlais |

Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Onur Güngör | Suzan Uskudarli | Tunga Güngör |

Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning
Shabnam Tafreshi | Mona Diab |

Word-Level Loss Extensions for Neural Temporal Relation Classification
Artuur Leeuwenberg | Marie-Francine Moens |

Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato | Claudio Delli Bovi | Roberto Navigli |

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto | Caiming Xiong | Yoshimasa Tsuruoka | Richard Socher |

Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation
Murhaf Fares | Stephan Oepen | Erik Velldal |

Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark | Minh-Thang Luong | Christopher D. Manning | Quoc Le |

Semantics as a Foreign Language
Gabriel Stanovsky | Ido Dagan |

What do character-level models learn about morphology? The case of dependency parsing
Clara Vania | Andreas Grivas | Adam Lopez |

Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Anne Lauscher | Goran Glavaš | Simone Paolo Ponzetto | Kai Eckert |

When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso | Barbara Plank |

evision PDF of 'Multitask Learning for Mental Health Conditions with Limited Social Media Data
Adrian Benton | Margaret Mitchell | Dirk Hovy |

Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel | Anders Søgaard |

Deep Automated Multi-task Learning
Davis Liang | Yan Shu |

Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato | Hiroyuki Shindo | Ikuya Yamada | Yuji Matsumoto |

Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard | Yoav Goldberg | Tal Linzen |

Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information
Go Inoue | Hiroyuki Shindo | Yuji Matsumoto |

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision
Sandro Pezzelle | Ionut-Teodor Sorodoc | Raffaella Bernardi |

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
Ana Marasović | Anette Frank |

Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi | Gholamreza Haffari |

Learning Joint Semantic Parsers from Disjoint Data
Hao Peng | Sam Thomson | Swabha Swayamdipta | Noah A. Smith |

Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini | Mirella Lapata |

Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
Isabelle Augenstein | Sebastian Ruder | Anders Søgaard |

Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem
Sven Buechel | Udo Hahn |

Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees
Ola Rønning | Daniel Hardt | Anders Søgaard |

Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents
Anuj Kumar Goyal | Angeliki Metallinou | Spyros Matsoukas |

Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger | Johannes Daxenberger | Iryna Gurevych |

Semi-supervised sequence tagging with bidirectional language models
Matthew Peters | Waleed Ammar | Chandra Bhagavatula | Russell Power |

Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng | Sam Thomson | Noah A. Smith |

Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein | Anders Søgaard |

Multitask Parsing Across Semantic Representations
Daniel Hershcovich | Omri Abend | Ari Rappoport |

Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder | Barbara Plank |

Backpropagating through Structured Argmax using a SPIGOT
Hao Peng | Sam Thomson | Noah A. Smith |

Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser | Miguel Ballesteros |

Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning
Johannes Bjerva |

Multi-task Domain Adaptation for Sequence Tagging
Nanyun Peng | Mark Dredze |

A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar | Suraj Maharjan | Adrian Pastor López-Monroy | Thamar Solorio |

Using hyperlinks to improve multilingual partial parsers
Anders Søgaard |

End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture
Gaku Morio | Katsuhide Fujita |

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
Steffen Eger | Andreas Rücklé | Iryna Gurevych |

Explicitly modeling case improves neural dependency parsing
Clara Vania | Adam Lopez |

Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding
Samuel Louvan | Bernardo Magnini |

Field Of Study

Linguistic Trends

Embeddings

Task

Tagging Chunking Named Entity Recognition

Approach

Deep Learning

Language

English

Dataset

News Blogs

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