research
∙
01/08/2022
Impact of Stop Sets on Stopping Active Learning for Text Classification
Active learning is an increasingly important branch of machine learning ...
share
research
∙
01/20/2020
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning
When creating text classification systems, one of the major bottlenecks ...
research
∙
01/26/2019
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification
Annotation of training data is the major bottleneck in the creation of t...
research
∙
01/26/2019
Stopping Active Learning based on Predicted Change of F Measure for Text Classification
During active learning, an effective stopping method allows users to lim...
research
∙
01/24/2018
Impact of Batch Size on Stopping Active Learning for Text Classification
When using active learning, smaller batch sizes are typically more effic...
research
∙
01/24/2018
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection
This paper investigates and evaluates support vector machine active lear...
research
∙
06/06/2017
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords
With the advent of informal electronic communications such as social med...
research
∙
04/24/2017
Using Global Constraints and Reranking to Improve Cognates Detection
Global constraints and reranking have not been used in cognates detectio...
research
∙
02/20/2017
Filtering Tweets for Social Unrest
Since the events of the Arab Spring, there has been increased interest i...
research
∙
02/25/2016
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection
Many important forms of data are stored digitally in XML format. Errors ...
research
∙
04/23/2015
Analysis of Stopping Active Learning based on Stabilizing Predictions
Within the natural language processing (NLP) community, active learning ...
research
∙
03/04/2015
Statistical modality tagging from rule-based annotations and crowdsourcing
We explore training an automatic modality tagger. Modality is the attitu...
research
∙
02/05/2015
Use of Modality and Negation in Semantically-Informed Syntactic MT
This paper describes the resource- and system-building efforts of an eig...
research
∙
01/13/2015
Annotating Cognates and Etymological Origin in Turkic Languages
Turkic languages exhibit extensive and diverse etymological relationship...
research
∙
10/31/2014
Rapid Adaptation of POS Tagging for Domain Specific Uses
Part-of-speech (POS) tagging is a fundamental component for performing n...
research
∙
10/30/2014
A random forest system combination approach for error detection in digital dictionaries
When digitizing a print bilingual dictionary, whether via optical charac...
research
∙
10/21/2014
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more tra...
research
∙
10/20/2014
Using Mechanical Turk to Build Machine Translation Evaluation Sets
Building machine translation (MT) test sets is a relatively expensive ta...
research
∙
09/24/2014