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Annotating Named Entities in Twitter Data with Crowdsourcing
Tim Finin
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William Murnane
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Anand Karandikar
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Nicholas Keller
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Justin Martineau
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Mark Dredze
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles
Venue:
WS |
Citations
URL
Part of Speech Tagging for French Social Media Data
Farhad Nooralahzadeh
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Caroline Brun
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Claude Roux
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Adapting taggers to Twitter with not-so-distant supervision
Barbara Plank
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Dirk Hovy
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Ryan McDonald
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Anders Søgaard
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Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
Leon Derczynski
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Kalina Bontcheva
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Ian Roberts
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Named Entity Recognition in Tweets: An Experimental Study
Alan Ritter
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Sam Clark
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Mausam
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Oren Etzioni
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Active Learning with Amazon Mechanical Turk
Florian Laws
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Christian Scheible
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Hinrich Schütze
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Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Eiji ARAMAKI
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Sachiko MASKAWA
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Mizuki MORITA
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Using Crowdsourcing to get Representations based on Regular Expressions
Anders Søgaard
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Hector Martinez
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Jakob Elming
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Anders Johannsen
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Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Nanyun Peng
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Mark Dredze
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Estimation of Discourse Segmentation Labels from Crowd Data
Ziheng Huang
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Jialu Zhong
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Rebecca J. Passonneau
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NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Franck Dernoncourt
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Ji Young Lee
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Peter Szolovits
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Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin
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Wei Lu
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Learning part-of-speech taggers with inter-annotator agreement loss
Barbara Plank
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Dirk Hovy
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Anders Søgaard
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Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets
Leon Derczynski
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Kalina Bontcheva
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Crowdsourcing for the identification of event nominals: an experiment
Rachele Sprugnoli
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Alessandro Lenci
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Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
Giuseppe Rizzo
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Marieke van Erp
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Raphaël Troncy
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Crowdsourcing and annotating NER for Twitter #drift
Hege Fromreide
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Dirk Hovy
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Anders Søgaard
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Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
Marta Sabou
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Kalina Bontcheva
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Leon Derczynski
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Arno Scharl
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Enhancing Access to Online Education: Quality Machine Translation of MOOC Content
Valia Kordoni
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Antal van den Bosch
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Katia Lida Kermanidis
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Vilelmini Sosoni
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Kostadin Cholakov
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Iris Hendrickx
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Matthias Huck
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Andy Way
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Focus Annotation of Task-based Data: A Comparison of Expert and Crowd-Sourced Annotation in a Reading Comprehension Corpus
Kordula De Kuthy
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Ramon Ziai
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Detmar Meurers
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What to do about bad language on the internet
Jacob Eisenstein
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The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
Colin Cherry
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Hongyu Guo
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Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
Stefan Rüd
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Massimiliano Ciaramita
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Jens Müller
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Hinrich Schütze
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel
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Nathan Schneider
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Brendan O’Connor
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Dipanjan Das
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Daniel Mills
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Jacob Eisenstein
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Michael Heilman
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Dani Yogatama
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Jeffrey Flanigan
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Noah A. Smith
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They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems
Nitin Madnani
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Martin Chodorow
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Joel Tetreault
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Alla Rozovskaya
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Joint Inference of Named Entity Recognition and Normalization for Tweets
Xiaohua Liu
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Ming Zhou
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Xiangyang Zhou
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Zhongyang Fu
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Furu Wei
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Experiments with crowdsourced re-annotation of a POS tagging data set
Dirk Hovy
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Barbara Plank
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Anders Søgaard
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Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
Nanyun Peng
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Mark Dredze
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Aggregating and Predicting Sequence Labels from Crowd Annotations
An Thanh Nguyen
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Byron Wallace
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Junyi Jessy Li
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Ani Nenkova
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Matthew Lease
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Platforms for Non-speakers Annotating Names in Any Language
Ying Lin
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Cash Costello
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Boliang Zhang
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Di Lu
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Heng Ji
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James Mayfield
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Paul McNamee
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Efficient Named Entity Annotation through Pre-empting
Leon Derczynski
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Kalina Bontcheva
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The Role of Emotional Stability in Twitter Conversations
Fabio Celli
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Luca Rossi
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Focus Annotation of Task-based Data: Establishing the Quality of Crowd Annotation
Kordula De Kuthy
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Ramon Ziai
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Detmar Meurers
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Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation
Mark Dredze
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Nicholas Andrews
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Jay DeYoung
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A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia
Kazuaki Hanawa
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Akira Sasaki
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Naoaki Okazaki
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Kentaro Inui
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http://tl.gd/d798d
http://bit.ly/dwoQMD
http://j.mp/cwJSUg
http://www.samasource.org/
http://www.geobytes.com/
http://crowdflower.com/general/examples
http://nlp.stanford.edu/software/CRF-NER.shtml
http://royal.pingdom.com-
Field Of Study
Task
Tagging
Named Entity Recognition
Information Extraction
Information Retrieval
Language
English
Dataset
News
Twitter
Blogs
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