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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
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Eduard Hovy
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
An Empirical Study on Fine-Grained Named Entity Recognition
Khai Mai
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Thai-Hoang Pham
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Minh Trung Nguyen
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Tuan Duc Nguyen
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Danushka Bollegala
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Ryohei Sasano
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Satoshi Sekine
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Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts
Yasuhide Miura
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Ryuji Kano
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Motoki Taniguchi
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Tomoki Taniguchi
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Shotaro Misawa
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Tomoko Ohkuma
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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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The Labeled Segmentation of Printed Books
Lara McConnaughey
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Jennifer Dai
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David Bamman
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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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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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Scientific Information Extraction with Semi-supervised Neural Tagging
Yi Luan
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Mari Ostendorf
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Hannaneh Hajishirzi
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PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages
Yiqing Zhang
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Jianzhong Qi
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Rui Zhang
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Chuandong Yin
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Effective Use of Context in Noisy Entity Linking
David Mueller
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Greg Durrett
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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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Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks
Oliver Hellwig
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Sebastian Nehrdich
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Deep Exhaustive Model for Nested Named Entity Recognition
Mohammad Golam Sohrab
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Makoto Miwa
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
Aditi Chaudhary
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Chunting Zhou
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Lori Levin
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Graham Neubig
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David R. Mortensen
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Jaime Carbonell
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Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty
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Lluís Màrquez
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Preslav Nakov
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Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
Yan Shao
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Christian Hardmeier
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Jörg Tiedemann
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Joakim Nivre
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From Raw Text to Universal Dependencies - Look, No Tags!
Miryam de Lhoneux
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Yan Shao
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Ali Basirat
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Eliyahu Kiperwasser
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Sara Stymne
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Yoav Goldberg
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Joakim Nivre
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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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Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li
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Shexia He
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Zhuosheng Zhang
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Hai Zhao
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Parsing Tweets into Universal Dependencies
Yijia Liu
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Yi Zhu
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Wanxiang Che
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Bing Qin
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Nathan Schneider
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Noah A. Smith
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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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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
Salman Mohammed
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Peng Shi
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Jimmy Lin
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu
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Dat Quoc Nguyen
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Dai Quoc Nguyen
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Mark Dras
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Mark Johnson
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Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
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Xuezhe Ma
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Zhengzhong Liu
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Eduard Hovy
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Eric Xing
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Semi-supervised sequence tagging with bidirectional language models
Matthew Peters
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Waleed Ammar
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Chandra Bhagavatula
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Russell Power
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Sentence-State LSTM for Text Representation
Yue Zhang
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Qi Liu
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Linfeng Song
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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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Chinese NER Using Lattice LSTM
Yue Zhang
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Jie Yang
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A Named Entity Recognition Shootout for German
Martin Riedl
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Sebastian Padó
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Hybrid semi-Markov CRF for Neural Sequence Labeling
Zhixiu Ye
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Zhen-Hua Ling
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Obligation and Prohibition Extraction Using Hierarchical RNNs
Ilias Chalkidis
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Ion Androutsopoulos
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Achilleas Michos
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Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Rudra Murthy
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Anoop Kunchukuttan
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Pushpak Bhattacharyya
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From Word Segmentation to POS Tagging for Vietnamese
Dat Quoc Nguyen
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Thanh Vu
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Dai Quoc Nguyen
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Mark Dras
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Mark Johnson
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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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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
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Karin Verspoor
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Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model
Qiuyue Wang
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Xiaofeng Meng
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Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model
Yujie Zhou
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Yinan Shao
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Yong Zhou
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Treatment Side Effect Prediction from Online User-generated Content
Van Hoang Nguyen
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Kazunari Sugiyama
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Min-Yen Kan
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Kishaloy Halder
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Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
Zenan Zhai
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Dat Quoc Nguyen
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Karin Verspoor
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Evaluation of a Sequence Tagging Tool for Biomedical Texts
Julien Tourille
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Matthieu Doutreligne
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Olivier Ferret
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Aurélie Névéol
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Nicolas Paris
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Xavier Tannier
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A POS Tagging Model Adapted to Learner English
Ryo Nagata
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Tomoya Mizumoto
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Yuta Kikuchi
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Yoshifumi Kawasaki
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Kotaro Funakoshi
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Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts
Kemal Kurniawan
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Samuel Louvan
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http://nlp.stanford.edu/projects/
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