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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
Kenji Sagae
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Jun’ichi Tsujii
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
CoNLL |
EMNLP |
Citations
URL
Learning Reliable Information for Dependency Parsing Adaptation
Wenliang Chen
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Youzheng Wu
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Hitoshi Isahara
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Shift-Reduce Dependency DAG Parsing
Kenji Sagae
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Jun’ichi Tsujii
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Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
Kun Yu
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Daisuke Kawahara
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Sadao Kurohashi
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Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields
Jun Hatori
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Yusuke Miyao
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Jun’ichi Tsujii
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Evaluating Dependency Representations for Event Extraction
Makoto Miwa
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Sampo Pyysalo
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Tadayoshi Hara
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Jun’ichi Tsujii
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Semi-supervised dependency parsing using generalized tri-training
Anders Søgaard
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Christian Rishøj
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Comparable Study of Event Extraction in Newswire and Biomedical Domains
Makoto Miwa
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Paul Thompson
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Ioannis Korkontzelos
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Sophia Ananiadou
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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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The CoNLL 2007 Shared Task on Dependency Parsing
Joakim Nivre
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Johan Hall
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Sandra Kübler
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Ryan McDonald
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Jens Nilsson
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Sebastian Riedel
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Deniz Yuret
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Improving Dependency Parsing with Subtrees from Auto-Parsed Data
Wenliang Chen
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Jun’ichi Kazama
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Kiyotaka Uchimoto
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Kentaro Torisawa
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Uptraining for Accurate Deterministic Question Parsing
Slav Petrov
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Pi-Chuan Chang
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Michael Ringgaard
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Hiyan Alshawi
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Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
Ekaterina Buyko
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Udo Hahn
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A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
Mathias Verbeke
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Vincent Van Asch
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Roser Morante
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Paolo Frasconi
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Walter Daelemans
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Luc De Raedt
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Multi-Domain Learning: When Do Domains Matter?
Mahesh Joshi
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Mark Dredze
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William W. Cohen
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Carolyn Rosé
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Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
Alexander Rush
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Roi Reichart
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Michael Collins
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Amir Globerson
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Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
Joseph Le Roux
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Antoine Rozenknop
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Jennifer Foster
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Semi-Supervised Feature Transformation for Dependency Parsing
Wenliang Chen
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Min Zhang
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Yue Zhang
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Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach
William Yang Wang
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Lingpeng Kong
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Kathryn Mazaitis
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William W. Cohen
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Modeling Joint Entity and Relation Extraction with Table Representation
Makoto Miwa
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Yutaka Sasaki
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Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Eliyahu Kiperwasser
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Yoav Goldberg
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Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
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Liang Huang
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Lillian Lee
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Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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Creating POS Tagging and Dependency Parsing Experts via Topic Modeling
Atreyee Mukherjee
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Sandra Kübler
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Matthias Scheutz
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Typed Entity and Relation Annotation on Computer Science Papers
Yuka Tateisi
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Tomoko Ohta
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Sampo Pyysalo
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Yusuke Miyao
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Akiko Aizawa
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Target Language Adaptation of Discriminative Transfer Parsers
Oscar Täckström
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Ryan McDonald
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Joakim Nivre
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Task-oriented Evaluation of Syntactic Parsers and Their Representations
Yusuke Miyao
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Rune Sætre
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Kenji Sagae
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Takuya Matsuzaki
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Jun’ichi Tsujii
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Cross Language Dependency Parsing using a Bilingual Lexicon
Hai Zhao
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Yan Song
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Chunyu Kit
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Guodong Zhou
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Transition-based Dependency Parsing with Rich Non-local Features
Yue Zhang
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Joakim Nivre
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Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts
Derya Ozkan
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Louis-Philippe Morency
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Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Ariya Rastrow
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Mark Dredze
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Sanjeev Khudanpur
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Utilizing Dependency Language Models for Graph-based Dependency Parsing Models
Wenliang Chen
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Min Zhang
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Haizhou Li
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Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data
Xuezhe Ma
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Fei Xia
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Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing
Zhenghua Li
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Min Zhang
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Wenliang Chen
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Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
Min Xiao
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Yuhong Guo
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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Vidur Joshi
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Matthew Peters
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Mark Hopkins
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Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
Ashish Vaswani
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Kenji Sagae
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Similarity Based Genre Identification for POS Tagging Experts & Dependency Parsing
Atreyee Mukherjee
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Sandra Kübler
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BioinformaticsUA: Concept Recognition in Clinical Narratives Using a Modular and Highly Efficient Text Processing Framework
Sérgio Matos
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Tiago Nunes
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José Luís Oliveira
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Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems
Natalie Schluter
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Anders Søgaard
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Jakob Elming
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Dirk Hovy
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Barbara Plank
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Héctor Martínez Alonso
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Anders Johanssen
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Sigrid Klerke
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Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing
Yantao Du
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Fan Zhang
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Weiwei Sun
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Xiaojun Wan
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An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen
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Mark Dras
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Mark Johnson
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High-accuracy Annotation and Parsing of CHILDES Transcripts
Kenji Sagae
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Eric Davis
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Alon Lavie
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Brian MacWhinney
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Shuly Wintner
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Data-Driven Dependency Parsing across Languages and Domains: Perspectives from the CoNLL-2007 Shared task
Joakim Nivre
|
Probabilistic Model for Syntactic and Semantic Dependency Parsing
Enhong Chen
|
Liu Shi
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Dawei Hu
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Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
Roi Reichart
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Ari Rappoport
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Event Extraction from Trimmed Dependency Graphs
Ekaterina Buyko
|
Erik Faessler
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Joachim Wermter
|
Udo Hahn
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A memory-based learning approach to event extraction in biomedical texts
Roser Morante
|
Vincent Van Asch
|
Walter Daelemans
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Biomedical Event Detection using Rules, Conditional Random Fields and Parse Tree Distances
Farzaneh Sarafraz
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James Eales
|
Reza Mohammadi
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Jonathan Dickerson
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David Robertson
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Goran Nenadic
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A Comparative Study of Syntactic Parsers for Event Extraction
Makoto Miwa
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Sampo Pyysalo
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Tadayoshi Hara
|
Jun’ichi Tsujii
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Semantic Role Labeling of Gene Regulation Events: Preliminary Results
Roser Morante
|
Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Roser Morante
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Vincent Van Asch
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Walter Daelemans
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Exploiting Rich Features for Detecting Hedges and their Scope
Xinxin Li
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Jianping Shen
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Xiang Gao
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Xuan Wang
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Towards Exhaustive Event Extraction for Protein Modifications
Sampo Pyysalo
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Tomoko Ohta
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Makoto Miwa
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Jun’ichi Tsujii
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ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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BioNLP Shared Task 2011: Supporting Resources
Pontus Stenetorp
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Goran Topić
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Sampo Pyysalo
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Tomoko Ohta
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Jin-Dong Kim
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Jun’ichi Tsujii
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Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser
Nathan Green
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Zdeněk Žabokrtský
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Dependency Parsing Domain Adaptation using Transductive SVM
Antonio Valerio Miceli-Barone
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Giuseppe Attardi
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Revisiting the Case for Explicit Syntactic Information in Language Models
Ariya Rastrow
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Sanjeev Khudanpur
|
Mark Dredze
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Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model
Raphael Cohen
|
Yoav Goldberg
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Michael Elhadad
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Using an SVM Ensemble System for Improved Tamil Dependency Parsing
Nathan Green
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Loganathan Ramasamy
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Zdeněk Žabokrtský
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Unsupervised Linguistically-Driven Reliable Dependency Parses Detection and Self-Training for Adaptation to the Biomedical Domain
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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Overview of the Cancer Genetics (CG) task of BioNLP Shared Task 2013
Sampo Pyysalo
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Tomoko Ohta
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Sophia Ananiadou
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Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013
Tomoko Ohta
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Sampo Pyysalo
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Rafal Rak
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Andrew Rowley
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Hong-Woo Chun
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Sung-Jae Jung
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Sung-Pil Choi
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Sophia Ananiadou
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Jun’ichi Tsujii
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NaCTeM EventMine for BioNLP 2013 CG and PC tasks
Makoto Miwa
|
Sophia Ananiadou
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Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers
Nathan Green
|
Zdeněk Žabokrtský
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Working with a small dataset - semi-supervised dependency parsing for Irish
Teresa Lynn
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Jennifer Foster
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Mark Dras
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The impact of near domain transfer on biomedical named entity recognition
Nigel Collier
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Mai-vu Tran
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Ferdinand Paster
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Exploring Options for Fast Domain Adaptation of Dependency Parsers
Viktor Pekar
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Juntao Yu
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Mohab El-karef
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Bernd Bohnet
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Introducing the IMS-Wrocław-Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled Data
Anders Björkelund
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Özlem Çetinoğlu
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Agnieszka Faleńska
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Richárd Farkas
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Thomas Mueller
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Wolfgang Seeker
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Zsolt Szántó
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Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu
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Bernd Bohnet
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Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification
Hiroyuki Shinnou
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Liying Xiao
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Minoru Sasaki
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Kanako Komiya
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http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/maxent/
http://chasen.org/~taku/software/TinySVM/
http://www.lsi.upc.edu/~mbertran/cess-ece/
Field Of Study
Language
Multilingual
Chinese
English
Arabic
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