Papers for Relevance Assessment

Papers for Relevance Assessment by Caroline Sporleder

Research Question: Which machine-learning set-up is best suited for the task (i.e.classifier stacking, one-step vs. two-step chunking).

Reformulation: Which machine-learning set-up is best suited for discourse sentence chunking (i.e. classifier stacking, one-step vs. two-step chunking).

Paper ID (Link to PDF)	Title	Author(s)
W02-2016	Japanese Dependency Analysis using Cascaded Chunking	Taku Kudo; Yuji Matsumoto
W00-1309	Error-driven HMM-based Chunk Tagger with Context-dependent Lexicon	GuoDong Zhou; Jian Su
P03-1064	A SNoW Based Supertagger with Application to NP Chunking	Libin Shen; Aravind K. Joshi
A00-2007	Noun Phrase Recognition by System Combination	Erik F. Tjong
W00-0735	Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task	Marc Vilain; David Day
I05-2022	HMM Based Chunker for Hindi	Akshay Singh; Sushma Bendre; Rajeev Sangal
C00-2089	Tagging and Chunking with Bigrams	Ferran Pla; Antonio Molina; Natividad Prieto
W05-0611	Improving Sequence Segmentation Learning by Predicting Trigrams	Antalvan denBosch; Walter Daelemans
W02-2011	Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition	Cyril Goutte; Herve Dejean; Eric Gaussier; Nicola Cancedda; Jean-Michel Renders
W03-0419	Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition	Erik F. Tjong Kim Sang; Fien De Meulder
W02-1036	Combining Outputs of Multiple Japanese Named Entity Chunkers by Stacking	Takehito Utsuro; Manabu Sassano; Kiyotaka Uchimoto
W00-0734	Single-Classifier Memory-Based Phrase Chunking	Jorn Veenstra ; Antal van den Bosch
W01-0712	Learning Computational Grammars	Nerbonne, John; Belz, Anja; Cancedda, Nicola; Déjean, Hervé; Hammerton, James; Koeling, Rob; Konstantopoulos, Stasinos; Osborne, Miles; Thollard, Franck; Tjong Kim Sang, Erik F.
P01-1069	Text Chunking using Regularized Winnow	Tong Zhang; Fred Damerau; David Johnson
P02-1060	Named Entity Recognition using an HMM-based Chunk Tagger	GuoDong Zhou; Jian SU
N01-1025	Chunking with Support Vector Machines	Taku Kudo; Yuji Matsumoto
H01-1072	TüSBL: A Similarity-Based Chunk Parser for Robust Syntactic Processing	S. Kübler; E.W. Hinrichs
P03-1063	Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning	Seong-Bae Park; Byoung-Tak Zhang
W03-0427	Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data	Iris Hendrickx; Antal van den Bosch
W00-0736	Hybrid Text Chunking	GuoDong Zhou ; Jian Su ; TongGuan Tey