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Generating Coherent Event Schemas at Scale
Niranjan Balasubramanian
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Stephen Soderland
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Mausam
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Oren Etzioni
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Employing Event Inference to Improve Semi-Supervised Chinese Event Extraction
Peifeng Li
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Qiaoming Zhu
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Guodong Zhou
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Mise en Place: Unsupervised Interpretation of Instructional Recipes
Chloé Kiddon
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Ganesa Thandavam Ponnuraj
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Luke Zettlemoyer
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Yejin Choi
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Globally Coherent Text Generation with Neural Checklist Models
Chloé Kiddon
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Luke Zettlemoyer
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Yejin Choi
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Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky
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Ido Dagan
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Integrating Order Information and Event Relation for Script Event Prediction
Zhongqing Wang
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Yue Zhang
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Ching-Yun Chang
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Story Comprehension for Predicting What Happens Next
Snigdha Chaturvedi
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Haoruo Peng
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Dan Roth
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Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
Hongyu Lin
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Le Sun
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Xianpei Han
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Automatic Event Salience Identification
Zhengzhong Liu
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Chenyan Xiong
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Teruko Mitamura
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Eduard Hovy
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Hierarchical Quantized Representations for Script Generation
Noah Weber
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Leena Shekhar
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Niranjan Balasubramanian
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Nathanael Chambers
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Statistical Script Learning with Multi-Argument Events
Karl Pichotta
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Raymond Mooney
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A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
Haoruo Peng
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Snigdha Chaturvedi
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Dan Roth
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Detecting Subevent Structure for Event Coreference Resolution
Jun Araki
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Zhengzhong Liu
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Eduard Hovy
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Teruko Mitamura
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Solving Hard Coreference Problems
Haoruo Peng
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Daniel Khashabi
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Dan Roth
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Lexical Event Ordering with an Edge-Factored Model
Omri Abend
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Shay B. Cohen
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Mark Steedman
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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Nasrin Mostafazadeh
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Nathanael Chambers
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Xiaodong He
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Devi Parikh
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Dhruv Batra
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Lucy Vanderwende
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Pushmeet Kohli
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James Allen
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Generative Event Schema Induction with Entity Disambiguation
Kiem-Hieu Nguyen
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Xavier Tannier
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Olivier Ferret
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Romaric Besançon
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Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky
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Ido Dagan
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Mausam
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Using Sentence-Level LSTM Language Models for Script Inference
Karl Pichotta
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Raymond J. Mooney
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Two Discourse Driven Language Models for Semantics
Haoruo Peng
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Dan Roth
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Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
Madhav Nimishakavi
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Manish Gupta
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Partha Talukdar
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Towards Evaluating Narrative Quality In Student Writing
Swapna Somasundaran
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Michael Flor
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Martin Chodorow
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Hillary Molloy
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Binod Gyawali
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Laura McCulla
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CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures
Nasrin Mostafazadeh
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Alyson Grealish
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Nathanael Chambers
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James Allen
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Lucy Vanderwende
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Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events
Elahe Rahimtoroghi
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Ernesto Hernandez
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Marilyn Walker
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Statistical Script Learning with Recurrent Neural Networks
Karl Pichotta
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Raymond Mooney
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Inference of Fine-Grained Event Causality from Blogs and Films
Zhichao Hu
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Elahe Rahimtoroghi
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Marilyn Walker
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Inducing Event Types and Roles in Reverse: Using Function to Discover Theme
Natalie Ahn
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Inferring Narrative Causality between Event Pairs in Films
Zhichao Hu
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Marilyn Walker
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An Example-Based Approach to Difficult Pronoun Resolution
Canasai Kruengkrai
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Naoya Inoue
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Jun Sugiura
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Kentaro Inui
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http://www.usna.edu/Users/cs/
http://relgrams.cs.washington.edu
http://knowitall.github.io/
http://nlp.stanford
http://www.usna.edu/Users/cs/
http://relgrams.cs.washington.edu
Field Of Study
Task
Tagging
Textual Entailment
Information Extraction
Coreference Resolution
Summarization
Approach
Unsupervised Learning
Language
English
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