Papers for Relevance Assessment by Rebecca Hwa

Research Question: Active learning -- if we can only afford to annotate a small amount of Chinese data, what kind of data should be annotated so as to be the most helpful in training the tagging model?

Paper ID
(Link to PDF)

Title

Author(s)

N03-4009

WordFreak: An Open Tool for Linguistic Annotation

Thomas Morton; Jeremy LaCivita

P01-1005

Scaling to Very Very Large Corpora for Natural Language Disambiguation

Michele Banko; Eric Brill

I05-2015

Building an Annotated Japanese-Chinese Parallel Corpus �C A Part of NICT Multilingual Corpora

Yujie Zhang; Kiyotaka Uchimoto; Qing Ma; Hitoshi Isahara

185_pdf_2-col

Multi-Criteria-based Active Learning for Named Entity Recognition

Dan Shen, Jie Zhang, Jian Su, Guodong Zhou and Chew-Lim Tan

Baldridge

Active Learning and the Total Cost of Annotation

Jason Baldridge and Miles Osborne

W03-0403

Active learning for HPSG parse selection

Jason Baldridge; Miles Osborne

N03-1031

Example Selection for Bootstrapping Statistical Parsers

Mark Steedman; Rebecca Hwa; Stephen Clark; Miles Osborne; Anoop Sarkar; Julia Hockenmaier; Paul Ruhlen; Steven Baker; Jeremiah Crim

H05-2019

POSBIOTM/W: A Development Workbench for Machine Learning Oriented Biomedical Text Mining System

Kyungduk Kim; Yu Song; Gary Geunbae Lee

29-FangGao-2col

A Semi-Supervised Approach to Build Annotated Corpus for Chinese Named Entity Recognition

Xiaoshan Fang, Jianfeng Gao and Huanye Sheng

W01-0710

On minimizing training corpus for parser acquisition

Hwa, Rebecca

W00-1306

Sample Selection for Statistical Grammar Induction

Rebecca Hwa

P02-1064

An Empirical Study of Active Learning with Support Vector Machines forJapanese Word Segmentation

Manabu Sassano

W02-0817

Building a Sense Tagged Corpus with Open Mind Word Expert

Timothy Chklovski; Rada Mihalcea

N03-2007

Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models

Shona Douglas

N03-1023

Weakly Supervised Natural Language Learning Without Redundant Views

Vincent Ng; Claire Cardie