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Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
Jenny Rose Finkel
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Christopher D. Manning
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Andrew Y. Ng
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Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
EMNLP |
WS |
SIG: SIGDAT
Citations
URL
Improving the Quality of Text Understanding by Delaying Ambiguity Resolution
Doo Soon Kim
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Ken Barker
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Bruce Porter
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Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering
Mengqiu Wang
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Christopher Manning
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Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach
Xiaofeng Yu
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Wai Lam
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Learning with Probabilistic Features for Improved Pipeline Models
Razvan Bunescu
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A Probabilistic Morphological Analyzer for Syriac
Peter McClanahan
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George Busby
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Robbie Haertel
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Kristian Heal
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Deryle Lonsdale
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Kevin Seppi
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Eric Ringger
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Multilayer Sequence Labeling
Ai Azuma
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Yuji Matsumoto
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Exact Sampling and Decoding in High-Order Hidden Markov Models
Simon Carter
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Marc Dymetman
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Guillaume Bouchard
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A Systematic Exploration of Diversity in Machine Translation
Kevin Gimpel
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Dhruv Batra
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Chris Dyer
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Gregory Shakhnarovich
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Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations
Liang Sun
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Jason Mielens
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Jason Baldridge
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An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective
Jie Zhao
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Yu Su
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Ziyu Guan
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Huan Sun
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Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Bonan Min
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Marjorie Freedman
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Talya Meltzer
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A Probabilistic Generative Grammar for Semantic Parsing
Abulhair Saparov
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Vijay Saraswat
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Tom Mitchell
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Bayesian Inference for PCFGs via Markov Chain Monte Carlo
Mark Johnson
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Thomas Griffiths
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Sharon Goldwater
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Improved Inference for Unlexicalized Parsing
Slav Petrov
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Dan Klein
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Joint Parsing and Named Entity Recognition
Jenny Rose Finkel
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Christopher D. Manning
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Automatic Diacritization for Low-Resource Languages Using a Hybrid Word and Consonant CMM
Robbie Haertel
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Peter McClanahan
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Eric K. Ringger
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A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji
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Gholamreza Haffari
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Jacob Eisenstein
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Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Katherine Keith
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Su Lin Blodgett
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Brendan O’Connor
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Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin
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Jason Eisner
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Pipeline Iteration
Kristy Hollingshead
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Brian Roark
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Applying Morphology Generation Models to Machine Translation
Kristina Toutanova
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Hisami Suzuki
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Achim Ruopp
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Joint Word Segmentation and POS Tagging Using a Single Perceptron
Yue Zhang
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Stephen Clark
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A global model for joint lemmatization and part-of-speech prediction
Kristina Toutanova
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Colin Cherry
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Hierarchical Sequential Learning for Extracting Opinions and Their Attributes
Yejin Choi
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Claire Cardie
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A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing
Michael Auli
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Adam Lopez
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Fine-Grained Class Label Markup of Search Queries
Joseph Reisinger
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Marius Paşca
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Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
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Christopher D. Manning
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Joint Modeling of Opinion Expression Extraction and Attribute Classification
Bishan Yang
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Claire Cardie
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Unsupervised Lexicon Discovery from Acoustic Input
Chia-ying Lee
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Timothy J. O’Donnell
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James Glass
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Monte Carlo inference and maximization for phrase-based translation
Abhishek Arun
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Chris Dyer
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Barry Haddow
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Phil Blunsom
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Adam Lopez
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Philipp Koehn
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http://www.pascal-
Field Of Study
Task
Tagging
Chunking
Textual Entailment
Information Retrieval
Question Answering
Language
English
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