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Learning Whom to Trust with MACE
Dirk Hovy
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Taylor Berg-Kirkpatrick
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Ashish Vaswani
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Eduard Hovy
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Modeling Newswire Events using Neural Networks for Anomaly Detection
Pradeep Dasigi
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Eduard Hovy
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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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Selection Bias, Label Bias, and Bias in Ground Truth
Anders Søgaard
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Barbara Plank
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Dirk Hovy
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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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Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings
Paul Felt
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Eric Ringger
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Kevin Seppi
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Sprucing up the trees – Error detection in treebanks
Ines Rehbein
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Josef Ruppenhofer
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Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Paul Felt
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Eric Ringger
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Jordan Boyd-Graber
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Kevin Seppi
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A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Andreas Hanselowski
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Avinesh PVS
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Benjamin Schiller
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Felix Caspelherr
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Debanjan Chaudhuri
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Christian M. Meyer
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Iryna Gurevych
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Towards an argumentative content search engine using weak supervision
Ran Levy
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Ben Bogin
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Shai Gretz
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Ranit Aharonov
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Noam Slonim
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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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The Rating Game: Sentiment Rating Reproducibility from Text
Lasse Borgholt
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Peter Simonsen
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Dirk Hovy
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Building an Evaluation Scale using Item Response Theory
John Lalor
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Hao Wu
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Hong Yu
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What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation
Ivan Habernal
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Iryna Gurevych
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“i have a feeling trump will win..................”: Forecasting Winners and Losers from User Predictions on Twitter
Sandesh Swamy
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Alan Ritter
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Marie-Catherine de Marneffe
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Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Natalie Parde
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Rodney Nielsen
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Argotario: Computational Argumentation Meets Serious Games
Ivan Habernal
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Raffael Hannemann
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Christian Pollak
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Christopher Klamm
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Patrick Pauli
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Iryna Gurevych
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TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Wenpeng Yin
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Dan Roth
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A Probabilistic Annotation Model for Crowdsourcing Coreference
Silviu Paun
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Jon Chamberlain
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Udo Kruschwitz
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Juntao Yu
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Massimo Poesio
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Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab
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Tristan Miller
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Benjamin Schiller
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Pranav Rai
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Iryna Gurevych
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Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
Paul Felt
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Eric Ringger
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Jordan Boyd-Graber
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Kevin Seppi
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Augmenting English Adjective Senses with Supersenses
Yulia Tsvetkov
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Nathan Schneider
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Dirk Hovy
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Archna Bhatia
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Manaal Faruqui
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Chris Dyer
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Momresp: A Bayesian Model for Multi-Annotator Document Labeling
Paul Felt
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Robbie Haertel
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Eric Ringger
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Kevin Seppi
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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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Crowdsourcing as a preprocessing for complex semantic annotation tasks
Héctor Martínez Alonso
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Lauren Romeo
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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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Combining Ontologies and Neural Networks for Analyzing Historical Language Varieties. A Case Study in Middle Low German
Maria Sukhareva
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Christian Chiarcos
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A Multi-Layered Annotated Corpus of Scientific Papers
Beatriz Fisas
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Francesco Ronzano
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Horacio Saggion
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Inconsistency Detection in Semantic Annotation
Nora Hollenstein
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Nathan Schneider
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Bonnie Webber
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Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data
Christopher Tauchmann
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Thomas Arnold
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Andreas Hanselowski
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Christian M. Meyer
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Margot Mieskes
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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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The Importance of Calibration for Estimating Proportions from Annotations
Dallas Card
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Noah A. Smith
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Spotting Spurious Data with Neural Networks
Hadi Amiri
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Timothy Miller
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Guergana Savova
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Annotation of regular polysemy and underspecification
Héctor Martínez Alonso
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Bolette Sandford Pedersen
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Núria Bel
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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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Linguistically debatable or just plain wrong?
Barbara Plank
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Dirk Hovy
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Anders Søgaard
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LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett
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Timothy Baldwin
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Jey Han Lau
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Diana McCarthy
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Francis Bond
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Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Ivan Habernal
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Iryna Gurevych
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The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews – An Adversarial Study
Dirk Hovy
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Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations
Gavin Abercrombie
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Dirk Hovy
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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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Detecting annotation noise in automatically labelled data
Ines Rehbein
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Josef Ruppenhofer
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Argumentation Quality Assessment: Theory vs. Practice
Henning Wachsmuth
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Nona Naderi
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Ivan Habernal
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Yufang Hou
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Graeme Hirst
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Iryna Gurevych
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Benno Stein
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Efficient Online Scalar Annotation with Bounded Support
Keisuke Sakaguchi
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Benjamin Van Durme
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Finding Convincing Arguments Using Scalable Bayesian Preference Learning
Edwin Simpson
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Iryna Gurevych
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Comparing Bayesian Models of Annotation
Silviu Paun
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Bob Carpenter
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Jon Chamberlain
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Dirk Hovy
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Udo Kruschwitz
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Massimo Poesio
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Efficient Named Entity Annotation through Pre-empting
Leon Derczynski
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Kalina Bontcheva
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SemEval-2018 Task 12: The Argument Reasoning Comprehension Task
Ivan Habernal
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Henning Wachsmuth
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Iryna Gurevych
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Benno Stein
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Identifying Metaphorical Word Use with Tree Kernels
Dirk Hovy
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Shashank Srivastava
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Sujay Kumar Jauhar
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Mrinmaya Sachan
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Kartik Goyal
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Huying Li
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Whitney Sanders
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Eduard Hovy
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What I’ve learned about annotating informal text (and why you shouldn’t take my word for it)
Nathan Schneider
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Reconstructing Ancient Literary Texts from Noisy Manuscripts
Moshe Koppel
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Moty Michaely
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Alex Tal
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Filling in the Blanks in Understanding Discourse Adverbials: Consistency, Conflict, and Context-Dependence in a Crowdsourced Elicitation Task
Hannah Rohde
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Anna Dickinson
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Nathan Schneider
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Christopher N. L. Clark
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Annie Louis
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Bonnie Webber
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Combining Lexical and Spatial Knowledge to Predict Spatial Relations between Objects in Images
Manuela Hürlimann
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Johan Bos
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Annotating omission in statement pairs
Héctor Martínez Alonso
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Amaury Delamaire
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Benoît Sagot
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A Simple Method for Clarifying Sentences with Coordination Ambiguities
Michael White
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Manjuan Duan
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David L. King
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Evaluating discourse annotation: Some recent insights and new approaches
Jet Hoek
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Merel Scholman
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Acoustic Word Disambiguation with Phonogical Features in Danish ASR
Andreas Søeborg Kirkedal
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http://www.isi.edu/
http://www.isi.edu/publications/
Field Of Study
Task
Word Sense Disambiguation
Textual Entailment
Approach
Generative Model
Graphical Model
Unsupervised Learning
Language
English
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