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Event Schema Induction with a Probabilistic Entity-Driven Model
Nathanael Chambers
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Script Induction as Language Modeling
Rachel Rudinger
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Pushpendre Rastogi
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Francis Ferraro
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Benjamin Van Durme
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Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources
Lucie Flekova
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Iryna Gurevych
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Relation Schema Induction using Tensor Factorization with Side Information
Madhav Nimishakavi
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Uday Singh Saini
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Partha Talukdar
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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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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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A Dataset for Open Event Extraction in English
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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Joint Learning Templates and Slots for Event Schema Induction
Lei Sha
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Sujian Li
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Baobao Chang
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Zhifang Sui
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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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Modeling Semantic Plausibility by Injecting World Knowledge
Su Wang
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Greg Durrett
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Katrin Erk
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A Bayesian Mixed Effects Model of Literary Character
David Bamman
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Ted Underwood
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Noah A. Smith
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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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Liberal Event Extraction and Event Schema Induction
Lifu Huang
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Taylor Cassidy
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Xiaocheng Feng
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Heng Ji
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Clare R. Voss
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Jiawei Han
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Avirup Sil
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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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Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut
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Jianfu Chen
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David Warren
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Hannaneh Hajishirzi
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Yejin Choi
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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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Unsupervised Discovery of Biographical Structure from Text
David Bamman
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Noah A. Smith
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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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Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
Laura Kallmeyer
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Behrang QasemiZadeh
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Jackie Chi Kit Cheung
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Interactions between Narrative Schemas and Document Categories
Dan Simonson
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Anthony Davis
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NASTEA: Investigating Narrative Schemas through Annotated Entities
Dan Simonson
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Anthony Davis
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Statistical Script Learning with Recurrent Neural Networks
Karl Pichotta
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Raymond Mooney
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Inducing Event Types and Roles in Reverse: Using Function to Discover Theme
Natalie Ahn
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Language Understanding
Information Extraction
Information Retrieval
Relation Extraction
Coreference Resolution
Approach
Generative Model
Language
English
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