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Dependency Tree Kernels for Relation Extraction
Aron Culotta
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Jeffrey Sorensen
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
ACL |
Citations
URL
A Local Alignment Kernel in the Context of NLP
Sophia Katrenko
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Pieter Adriaans
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Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
Longhua Qian
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Guodong Zhou
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Fang Kong
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Qiaoming Zhu
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Peide Qian
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An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
Xiaofeng Yu
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Wai Lam
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A Cross-lingual Annotation Projection Approach for Relation Detection
Seokhwan Kim
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Minwoo Jeong
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Jonghoon Lee
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Gary Geunbae Lee
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Improving Graph-based Dependency Parsing with Decision History
Wenliang Chen
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Jun’ichi Kazama
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Yoshimasa Tsuruoka
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Kentaro Torisawa
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Recognizing Relation Expression between Named Entities based on Inherent and Context-dependent Features of Relational words
Toru Hirano
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Hisako Asano
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Yoshihiro Matsuo
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Genichiro Kikui
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Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Bing Liu
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Longhua Qian
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Hongling Wang
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Guodong Zhou
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Converting Phrase Structures to Dependency Structures in Sanskrit
Pawan Goyal
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Amba Kulkarni
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Exploratory Relation Extraction in Large Text Corpora
Alan Akbik
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Thilo Michael
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Christoph Boden
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An Error Analysis Tool for Natural Language Processing and Applied Machine Learning
Apoorv Agarwal
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Ankit Agarwal
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Deepak Mittal
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Learning to Identify Sentence Parallelism in Student Essays
Wei Song
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Tong Liu
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Ruiji Fu
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Lizhen Liu
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Hanshi Wang
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Ting Liu
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Probabilistic Models of Nonprojective Dependency Trees
David A. Smith
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Noah A. Smith
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Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
GuoDong Zhou
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Min Zhang
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Dong Hong Ji
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QiaoMing Zhu
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Stacking Dependency Parsers
André Filipe Torres Martins
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Dipanjan Das
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Noah A. Smith
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Eric P. Xing
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A Dependency-based Word Subsequence Kernel
Rohit Kate
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Reverse Engineering of Tree Kernel Feature Spaces
Daniele Pighin
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Alessandro Moschitti
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Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
Marco Dinarelli
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Alessandro Moschitti
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Giuseppe Riccardi
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Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
Longhua Qian
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Guodong Zhou
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Fang Kong
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Qiaoming Zhu
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Phrase Dependency Parsing for Opinion Mining
Yuanbin Wu
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Qi Zhang
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Xuanjing Huang
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Lide Wu
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Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Longhua Qian
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Guodong Zhou
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Collective Cross-Document Relation Extraction Without Labelled Data
Limin Yao
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Sebastian Riedel
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Andrew McCallum
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Automatic Detection and Classification of Social Events
Apoorv Agarwal
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Owen Rambow
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Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!
Alessandro Moschitti
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Jennifer Chu-Carroll
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Siddharth Patwardhan
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James Fan
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Giuseppe Riccardi
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Relation Acquisition using Word Classes and Partial Patterns
Stijn De Saeger
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Kentaro Torisawa
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Masaaki Tsuchida
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Jun’ichi Kazama
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Chikara Hashimoto
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Ichiro Yamada
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Jong Hoon Oh
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Istvan Varga
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Yulan Yan
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Structured Lexical Similarity via Convolution Kernels on Dependency Trees
Danilo Croce
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Alessandro Moschitti
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Roberto Basili
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Relation Extraction with Relation Topics
Chang Wang
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James Fan
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Aditya Kalyanpur
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David Gondek
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Structured Relation Discovery using Generative Models
Limin Yao
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Aria Haghighi
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Sebastian Riedel
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Andrew McCallum
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Improving NLP through Marginalization of Hidden Syntactic Structure
Jason Naradowsky
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Sebastian Riedel
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David Smith
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Unsupervised Relation Extraction with General Domain Knowledge
Oier Lopez de Lacalle
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Mirella Lapata
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A convex relaxation for weakly supervised relation extraction
Édouard Grave
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Sieve-Based Spatial Relation Extraction with Expanding Parse Trees
Jennifer D’Souza
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Vincent Ng
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Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization
Jonghoon Kim
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François Rousseau
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Michalis Vazirgiannis
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Solving Geometry Problems: Combining Text and Diagram Interpretation
Minjoon Seo
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Hannaneh Hajishirzi
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Ali Farhadi
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Oren Etzioni
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Clint Malcolm
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
Guanying Wang
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Wen Zhang
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Ruoxu Wang
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Yalin Zhou
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Xi Chen
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Wei Zhang
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Hai Zhu
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Huajun Chen
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Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing
Arushi Raghuvanshi
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Lucien Carroll
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Karthik Raghunathan
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Making Tree Kernels Practical for Natural Language Learning
Alessandro Moschitti
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Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
Claudio Giuliano
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Alberto Lavelli
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Lorenza Romano
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Syntactic and Semantic Kernels for Short Text Pair Categorization
Alessandro Moschitti
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Frame Semantic Tree Kernels for Social Network Extraction from Text
Apoorv Agarwal
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Sriramkumar Balasubramanian
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Anup Kotalwar
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Jiehan Zheng
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Owen Rambow
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Speeding up Training with Tree Kernels for Node Relation Labeling
Jun’ichi Kazama
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Kentaro Torisawa
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Non-Projective Dependency Parsing using Spanning Tree Algorithms
Ryan McDonald
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Fernando Pereira
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Kiril Ribarov
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Jan Hajič
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A Shortest Path Dependency Kernel for Relation Extraction
Razvan Bunescu
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Raymond Mooney
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Relation Extraction Using Support Vector Machine
Gumwon Hong
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Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering
Min Zhang
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Jian Su
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Danmei Wang
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Guodong Zhou
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Chew Lim Tan
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Exploring Syntactic Relation Patterns for Question Answering
Dan Shen
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Geert-Jan M. Kruijff
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Dietrich Klakow
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Context-Sensitive Convolution Tree Kernel for Pronoun Resolution
GuoDong Zhou
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Fang Kong
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QiaoMing Zhu
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A Semantic Feature for Relation Recognition Using a Web-based Corpus
Chen-Ming Hung
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A Re-examination of Dependency Path Kernels for Relation Extraction
Mengqiu Wang
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Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing
Carlos Gómez-Rodríguez
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John Carroll
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David Weir
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An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen
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Karin Verspoor
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Exploiting the Role of Position Feature in Chinese Relation Extraction
Peng Zhang
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Wenjie Li
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Furu Wei
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Qin Lu
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Yuexian Hou
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Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction
Johannes Kirschnick
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Alan Akbik
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Holmer Hemsen
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Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization
Şaziye Betül Özateş
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Arzucan Özgür
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Dragomir Radev
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Chinese Relation Classification using Long Short Term Memory Networks
Linrui Zhang
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Dan Moldovan
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A Dataset for Inter-Sentence Relation Extraction using Distant Supervision
Angrosh Mandya
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Danushka Bollegala
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Frans Coenen
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Katie Atkinson
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Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
Min Zhang
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Jie Zhang
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Jian Su
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Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text
Aron Culotta
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Andrew McCallum
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Jonathan Betz
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Semi-supervised Relation Extraction with Label Propagation
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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Syntactic Kernels for Natural Language Learning: the Semantic Role Labeling Case
Alessandro Moschitti
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A Systematic Exploration of the Feature Space for Relation Extraction
Jing Jiang
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ChengXiang Zhai
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Tree Revision Learning for Dependency Parsing
Giuseppe Attardi
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Massimiliano Ciaramita
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Exploiting Rich Syntactic Information for Relationship Extraction from Biomedical Articles
Yudong Liu
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Zhongmin Shi
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Anoop Sarkar
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Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
Michael Heilman
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Noah A. Smith
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Relation Extraction with Matrix Factorization and Universal Schemas
Sebastian Riedel
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Limin Yao
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Andrew McCallum
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Benjamin M. Marlin
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evision PDF of 'Open Information Extraction with Tree Kernels
Ying Xu
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Mi-Young Kim
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Kevin Quinn
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Randy Goebel
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Denilson Barbosa
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Template Kernels for Dependency Parsing
Hillel Taub-Tabib
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Yoav Goldberg
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Amir Globerson
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Relation extraction pattern ranking using word similarity
Konstantinos Lambrou-Latreille
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Global Relation Embedding for Relation Extraction
Yu Su
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Honglei Liu
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Semih Yavuz
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Izzeddin Gür
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Huan Sun
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Xifeng Yan
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Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction
Nanda Kambhatla
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Online Large-Margin Training of Dependency Parsers
Ryan McDonald
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Koby Crammer
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Fernando Pereira
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Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao
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Ralph Grishman
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Exploring Various Knowledge in Relation Extraction
GuoDong Zhou
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Jian Su
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Jie Zhang
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Min Zhang
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Modeling Commonality among Related Classes in Relation Extraction
GuoDong Zhou
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Jian Su
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Min Zhang
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Relation Extraction Using Label Propagation Based Semi-Supervised Learning
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
Min Zhang
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Jie Zhang
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Jian Su
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GuoDong Zhou
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A Hybrid Convolution Tree Kernel for Semantic Role Labeling
Wanxiang Che
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Min Zhang
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Ting Liu
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Sheng Li
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Unsupervised Relation Disambiguation Using Spectral Clustering
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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ARE: Instance Splitting Strategies for Dependency Relation-Based Information Extraction
Mstislav Maslennikov
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Hai-Kiat Goh
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Tat-Seng Chua
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Mildly Context-Sensitive Dependency Languages
Marco Kuhlmann
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Mathias Möhl
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Learning to Extract Relations from the Web using Minimal Supervision
Razvan Bunescu
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Raymond Mooney
|
A Multi-resolution Framework for Information Extraction from Free Text
Mstislav Maslennikov
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Tat-Seng Chua
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Detecting Semantic Relations between Named Entities in Text Using Contextual Features
Toru Hirano
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Yoshihiro Matsuo
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Genichiro Kikui
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Minimally Lexicalized Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
Vivek Srikumar
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Roi Reichart
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Mark Sammons
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Ari Rappoport
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Dan Roth
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A Novel Feature-based Approach to Chinese Entity Relation Extraction
Wenjie Li
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Peng Zhang
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Furu Wei
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Yuexian Hou
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Qin Lu
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Concise Integer Linear Programming Formulations for Dependency Parsing
André Martins
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Noah Smith
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Eric Xing
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Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Jing Jiang
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Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
Yulan Yan
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Naoaki Okazaki
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Yutaka Matsuo
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Zhenglu Yang
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Mitsuru Ishizuka
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A Framework for Entailed Relation Recognition
Dan Roth
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Mark Sammons
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V.G.Vinod Vydiswaran
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Composite Kernels For Relation Extraction
Frank Reichartz
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Hannes Korte
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Gerhard Paass
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Kernel Based Discourse Relation Recognition with Temporal Ordering Information
WenTing Wang
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Jian Su
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Chew Lim Tan
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Generating Image Descriptions Using Dependency Relational Patterns
Ahmet Aker
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Robert Gaizauskas
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End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories
Truc-Vien T. Nguyen
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Alessandro Moschitti
|
Social Network Extraction from Texts: A Thesis Proposal
Apoorv Agarwal
|
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
Barbara Plank
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Alessandro Moschitti
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Explicit and Implicit Syntactic Features for Text Classification
Matt Post
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Shane Bergsma
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Incremental Joint Extraction of Entity Mentions and Relations
Qi Li
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Heng Ji
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Omni-word Feature and Soft Constraint for Chinese Relation Extraction
Yanping Chen
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Qinghua Zheng
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Wei Zhang
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Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
Longhua Qian
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Haotian Hui
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Ya’nan Hu
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Guodong Zhou
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Qiaoming Zhu
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Robust Domain Adaptation for Relation Extraction via Clustering Consistency
Minh Luan Nguyen
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Ivor W. Tsang
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Kian Ming A. Chai
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Hai Leong Chieu
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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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A Feature-Enriched Tree Kernel for Relation Extraction
Le Sun
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Xianpei Han
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A Convolution Kernel Approach to Identifying Comparisons in Text
Maksim Tkachenko
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Hady Lauw
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A Dependency-Based Neural Network for Relation Classification
Yang Liu
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Furu Wei
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Sujian Li
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Heng Ji
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Ming Zhou
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Houfeng Wang
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JEDI: Joint Entity and Relation Detection using Type Inference
Johannes Kirschnick
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Holmer Hemsen
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Volker Markl
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Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Jing Ma
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Wei Gao
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Kam-Fai Wong
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Finding Optimal 1-Endpoint-Crossing Trees
Emily Pitler
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Sampath Kannan
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Mitchell Marcus
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[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand
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Alexandru Ginsca
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Romaric Besançon
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Olivier Mesnard
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UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros
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TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
Leon Rotim
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Martin Tutek
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Jan Šnajder
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MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
Ji Young Lee
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Franck Dernoncourt
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Peter Szolovits
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Using Entity Information from a Knowledge Base to Improve Relation Extraction
Lan Du
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Anish Kumar
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Mark Johnson
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Massimiliano Ciaramita
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N-ary Biographical Relation Extraction using Shortest Path Dependencies
Gitansh Khirbat
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Jianzhong Qi
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Rui Zhang
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Engineering of Syntactic Features for Shallow Semantic Parsing
Alessandro Moschitti
|
Bonaventura Coppola
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Daniele Pighin
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Roberto Basili
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Studying Feature Generation from Various Data Representations for Answer Extraction
Dan Shen
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Geert-Jan M. Kruijff
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Dietrich Klakow
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Improving Semi-supervised Acquisition of Relation Extraction Patterns
Mark A. Greenwood
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Mark Stevenson
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Incremental Integer Linear Programming for Non-projective Dependency Parsing
Sebastian Riedel
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James Clarke
|
Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction
Akane Yakushiji
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Yusuke Miyao
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Tomoko Ohta
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Yuka Tateisi
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Jun’ichi Tsujii
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Unsupervised Relation Disambiguation with Order Identification Capabilities
Jinxiu Chen
|
Donghong Ji
|
Chew Lim Tan
|
Zhengyu Niu
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Learning Field Compatibilities to Extract Database Records from Unstructured Text
Michael Wick
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Aron Culotta
|
Andrew McCallum
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Decomposition Kernels for Natural Language Processing
Fabrizio Costa
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Sauro Menchetti
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Alessio Ceroni
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Andrea Passerini
|
Paolo Frasconi
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Tree Kernel Engineering in Semantic Role Labeling Systems
Alessandro Moschitti
|
Daniele Pighin
|
Roberto Basili
|
Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization
Qin Iris Wang
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Colin Cherry
|
Dan Lizotte
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Dale Schuurmans
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Co-occurrence Contexts for Noun Compound Interpretation
Diarmuid Ó Séaghdha
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Ann Copestake
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Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information
Massimiliano Ciaramita
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Giuseppe Attardi
|
A Study of Convolution Tree Kernel with Local Alignment
Lidan Zhang
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Kwok-Ping Chan
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Efficient Linearization of Tree Kernel Functions
Daniele Pighin
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Alessandro Moschitti
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Relation detection between named entities: report of a shared task
Cláudia Freitas
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Diana Santos
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Cristina Mota
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Hugo Gonçalo Oliveira
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Paula Carvalho
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On Reverse Feature Engineering of Syntactic Tree Kernels
Daniele Pighin
|
Alessandro Moschitti
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Dependency Parser for Chinese Constituent Parsing
Xuezhe Ma
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Xiaotian Zhang
|
Hai Zhao
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Bao-Liang Lu
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Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text
Philippe Thomas
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Stefan Pietschmann
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Illés Solt
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Domonkos Tikk
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Ulf Leser
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A Study on Dependency Tree Kernels for Automatic Extraction of Protein-Protein Interaction
Faisal Md. Chowdhury
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Alberto Lavelli
|
Alessandro Moschitti
|
Using Sequence Kernels to identify Opinion Entities in Urdu
Smruthi Mukund
|
Debanjan Ghosh
|
Rohini Srihari
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A Combination of Topic Models with Max-margin Learning for Relation Detection
Dingcheng Li
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Swapna Somasundaran
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Amit Chakraborty
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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
|
Mrinmaya Sachan
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Kartik Goyal
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Huying Li
|
Whitney Sanders
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Eduard Hovy
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IRISA participation to BioNLP-ST13: lazy-learning and information retrieval for information extraction tasks
Vincent Claveau
|
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to “Parse”?
Fabio Massimo Zanzotto
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Lorenzo Dell’Arciprete
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Artificial IntelliDance: Teaching Machine Learning through a Choreography
Apoorv Agarwal
|
Caitlin Trainor
|
Extending NegEx with Kernel Methods for Negation Detection in Clinical Text
Chaitanya Shivade
|
Marie-Catherine de Marneffe
|
Eric Fosler-Lussier
|
Albert M. Lai
|
Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation
Gustavo Henrique Paetzold
|
Relation extraction from clinical texts using domain invariant convolutional neural network
Sunil Sahu
|
Ashish Anand
|
Krishnadev Oruganty
|
Mahanandeeshwar Gattu
|
Comparison of Short-Text Sentiment Analysis Methods for Croatian
Leon Rotim
|
Jan Šnajder
|
Inducing Event Types and Roles in Reverse: Using Function to Discover Theme
Natalie Ahn
|
UHH Submission to the WMT17 Quality Estimation Shared Task
Melania Duma
|
Wolfgang Menzel
|
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
|
Karin Verspoor
|
http://www.cis.upenn.edu/adwait/statnlp.html
http://www.cogsci.princeton.edu/wn/
http://www.csie.ntu.edu.tw/cjlin/libsvm/
Field Of Study
Task
Tagging
Information Extraction
Relation Extraction
Coreference Resolution
Approach
Kernel Method
Generative Model
Language
English
Dataset
News
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