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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
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Caiming Xiong
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Yoshimasa Tsuruoka
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Richard Socher
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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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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Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Onur Güngör
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Suzan Uskudarli
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Tunga Güngör
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Word-Level Loss Extensions for Neural Temporal Relation Classification
Artuur Leeuwenberg
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Marie-Francine Moens
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Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
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Shuailong Liang
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Yue Zhang
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Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Neural-Davidsonian Semantic Proto-role Labeling
Rachel Rudinger
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Adam Teichert
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Ryan Culkin
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Sheng Zhang
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Benjamin Van Durme
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Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark
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Minh-Thang Luong
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Christopher D. Manning
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Quoc Le
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Legal Judgment Prediction via Topological Learning
Haoxi Zhong
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Zhipeng Guo
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Cunchao Tu
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Chaojun Xiao
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Zhiyuan Liu
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Maosong Sun
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Syntactic Scaffolds for Semantic Structures
Swabha Swayamdipta
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Sam Thomson
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Kenton Lee
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Luke Zettlemoyer
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Chris Dyer
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Noah A. Smith
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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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Predefined Sparseness in Recurrent Sequence Models
Thomas Demeester
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Johannes Deleu
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Fréderic Godin
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Chris Develder
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Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Hiyori Yoshikawa
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Tomoya Iwakura
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An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen
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Karin Verspoor
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Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision
Sandro Pezzelle
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Ionut-Teodor Sorodoc
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Raffaella Bernardi
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi
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Gholamreza Haffari
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Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
Isabelle Augenstein
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Sebastian Ruder
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Anders Søgaard
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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Natural Language to Structured Query Generation via Meta-Learning
Po-Sen Huang
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Chenglong Wang
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Rishabh Singh
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Wen-tau Yih
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Xiaodong He
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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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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
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Shengqi Yang
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Veselin Stoyanov
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Heng Ji
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Global-Locally Self-Attentive Encoder for Dialogue State Tracking
Victor Zhong
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Caiming Xiong
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Richard Socher
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Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min
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Victor Zhong
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Richard Socher
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Caiming Xiong
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Backpropagating through Structured Argmax using a SPIGOT
Hao Peng
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Sam Thomson
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Noah A. Smith
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Investigating NP-Chunking with Universal Dependencies for English
Ophélie Lacroix
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Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu
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Andrea Madotto
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Chien-Sheng Wu
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Ji Ho Park
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Pascale Fung
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https://github.com/hassyGo/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Textual Entailment
Relation Extraction
Machine Translation
Approach
Deep Learning
Representation Learning
Semi-supervised Learning
Language
English
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