[PDF] Top 20 Active Learning and the Total Cost of Annotation
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Active Learning and the Total Cost of Annotation
... the cost of creating highly informative labeled sets for speech and language ...of annotation; thus, in practice, we will need to reuse the labeled training material with other ... See full document
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Active Learning for Dependency Parsing with Partial Annotation
... Meanwhile, active learning (AL) aims to reduce annotation effort by choosing and manually an- notating unlabeled instances that are most valu- able for training statistical models (Olsson, ...full ... See full document
11
Active learning for sense annotation
... synthetic) active-learning experiment to obtain supersense annotations for Dan- ...the annotation process, across domains for the final resulting system, as well as against in-domain adjudicated ... See full document
5
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... partial annotation with active learn- ing to adapt a Japanese dependency parser to new domains, and showed that active learning is not limited to single-domain ...tial annotation can be ... See full document
9
Active DOP: an Active Learning Constituency Treebank Annotation Tool
... treebank annotation tool supporting rich annotations with discontinuous constituents and function ...evaluate active learning methods to speed up annotation in a naturalistic setting, ... See full document
5
Reducing Annotation Effort for Quality Estimation via Active Learning
... vestigate active learning techniques to re- duce the size of these datasets and thus annotation ...our active learning query strategies can not only reduce annotation effort but ... See full document
6
Approximating Learning Curves for Active-Learning-Driven Annotation
... Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning methods for various ... See full document
6
AlpacaTag: An Active Learning based Crowd Annotation Framework for Sequence Tagging
... data annotation framework (AlpacaTag) for se- quence tagging tasks such as named-entity recognition ...1) Active in- telligent recommendation: dynamically sug- gesting annotations and sampling the most in- ... See full document
6
Estimating Annotation Cost for Active Learning in a Multi Annotator Environment
... beforehand. Annotation cost also depends on the user interface used for annotation (Gweon et ...an annotation task. Thus, we need a general annotation cost estimator that can ... See full document
9
Annotating named entities in clinical text by combining pre annotation and active learning
... tive learning is proposed. In order to fa- cilitate annotation and to avoid bias, two alternative automatic pre-taggings are pre- sented to the annotator, without reveal- ing which of them is given a higher ... See full document
7
An active learning-enabled annotation system for clinical named entity recognition
... that annotation cost for each sample is ...however, annotation cost ...estimated cost savings by AL in simulated studies may not be applicable in ...real-world annotation costs ... See full document
10
Multi Criteria Based Strategy to Stop Active Learning for Data Annotation
... stop active learn- ing is still an unsolved problem and seldom men- tioned issue in previous ...the active learning procedure until the whole unlabeled corpus has been ...The active ... See full document
8
Active Learning Based Corpus Annotation
... Common active learning algorithms can be di- vided into two classes, membership query and selective sampling ( Dagan and Engelson, 1995) ...constructs learning instances by itself according to the ... See full document
8
APLenty: annotation tool for creating high quality datasets using active and proactive learning
... the active learning algorithm. The main point of ac- tive learning is that a learning algorithm must be able to interactively query the annotators to obtain the desired outputs at new data ... See full document
6
Online Active Learning for Cost Sensitive Domain Adaptation
... online active learning with domain adaptation in a different set- ting, where source domains with a large amount of free labeled data are not ...a cost. Moreover, we assume the annotation ... See full document
9
Content-Based Visual Information Retrieval using Active Learning Method
... the annotation effort in RF is active learning (AL) that aims at finding the most explanatory images in the collection that, when annotated and included in the set of related and irrelated images ... See full document
8
A Comparison of Models for Cost Sensitive Active Learning
... studies, cost- sensitive AL is a new branch of AL. In an early study on cost metrics for AL, Becker and Osborne (2005) examined whether AL, while decreasing the sample size on the one hand, on the other ... See full document
9
Rule Writing or Annotation: Cost efficient Resource Usage for Base Noun Phrase Chunking
... Relative Training Size for Same Performance Active Learning Sequential Training... 90 Active Learning Expert Annotation 88 Performance F-Measure.[r] ... See full document
9
Evaluating Automation Strategies in Language Documentation
... on active learning assumes some sort of unit cost to determine the effectiveness of different sample selection strate- ...unit cost measurements include the number of documents in text ... See full document
9
A Prototype Tool Set to Support Machine Assisted Annotation
... in annotation time with higher inter-annotator agreement. Pre-annotation using simple approaches such as regular expres- sions coupled with dictionaries (South et ...pre- annotation of information ... See full document
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