[PDF] Top 20 Domain Adaptation with Active Learning for Coreference Resolution
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Domain Adaptation with Active Learning for Coreference Resolution
... on coreference resolution focuses on texts in the newswire do- ...chine learning approaches to an NLP task in a spe- cific domain, one needs to collect a text corpus in the domain and ... See full document
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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 ...source domain is much lower than the ... See full document
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Active Learning for Coreference Resolution
... We present an active learning method for coreference resolution that is novel in three re- spects. (i) It uses bootstrapped neighborhood pooling, which ensures a class-balanced pool even ... See full document
5
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
... adapt coreference resolution across ...the active ensemble members during ...within- domain case, while still retaining the above ...a domain adaptation algorithm for the ... See full document
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Domain Adaptation meets Active Learning
... supervised learning models can be difficult or expensive in many prob- lem ...domains. Active Learning tries to circumvent this difficultly by only querying the labels of the most informative ... See full document
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Domain Adaptation with Active Learning for Word Sense Disambiguation
... after adaptation are ...of adaptation examples re- quired by the various approaches to reach certain levels of WSD ...29% adaptation examples ...of adaptation ex- amples needed by a, ... See full document
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Active Learning for Coreference Resolution
... Active learning can lower the cost of anno- tation for some natural language processing tasks by using a classifier to select informa- tive instances to send to human ...However, coreference ... See full document
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Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... machine learning-based approaches that dominate natural language processing research require massive amounts of la- beled training ...data. Active learning has the potential to substantially reduce ... See full document
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Active Sentiment Domain Adaptation
... Active learning is a useful technique in scena- rios where unlabeled data is abundant but their labels are difficult or expensive to obtain (Tong and Koller, 2002; Settles, ...label, active lear- ... See full document
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An Effective Hybrid Machine Learning Approach for Coreference Resolution
... Our Active Learning Framework In this active learning framework, an initial clas- sifier is trained by CRFs [ 1 ] that uses only atomic features, and then two human teachers are asked to ... See full document
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Domain-specific vs. Uniform Modeling for Coreference Resolution
... that domain selection and adaptation methods have the potential to improve the performance of ...in coreference as many of the corpora used for ...ing coreference methods has been carried out ... See full document
5
Domain Specific Coreference Resolution with Lexicalized Features
... 2002). Learning-based corefer- ence resolvers can be easily retrained for a spe- cialized domain given annotated training texts for that ...off-the-shelf coreference resolver with domain- ... See full document
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Investigating Domain Specific Information for Neural Coreference Resolution on Biomedical Texts
... Protein Coreference dataset (Nguyen et ...machine learning methods (Nguyen et ...and domain-specific features into the deep neural sys- tem improved the performance of both mention detection and ... See full document
6
Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution
... We adopted the MUC-6 guidelines for evaluating coref- erence relationships based on transitivity in anaphoric chains. For example, if {NP 1 , NP 2 , NP 3 } are all coref- erent, then each NP must be linked to one of the ... See full document
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Coupling for Coreference Resolution in a Never-ending Learning System
... Language Learning (NELL) is a system that attempts learning to learn from the Web every day, in an autonomous ...NELL’s learning active and improving ...improving coreference ... See full document
11
End to end Deep Reinforcement Learning Based Coreference Resolution
... multi-task coreference model that has ELMo sup- port (Luan et ...reinforcement learning combined with the state-of-the-art end-to-end model in Lee et ...more active ex- ploration produces better ... See full document
6
Improving Machine Learning Approaches to Coreference Resolution
... syntactic coreference resolution ...disallows coreference between NPs that contain distinct proper names but are not them- selves proper names ... See full document
8
Prune and Score: Learning for Greedy Coreference Resolution
... search-based coreference resolution called ...incremental coreference resolution since the search space for coreference resolution con- sists of partial outputs, ... See full document
12
Joint Learning for Coreference Resolution with Markov Logic
... For coreference resolution, the most notable one is unsupervised coreference resolution by Poon and Domingos ...on coreference layer for CoNLL-2011 has excluded these two conditions of ... See full document
10
Error Analysis for Learning-based Coreference Resolution
... Finally, some phenomena are still not covered by our fea- ture set. For example, we do not account for quantitative constructions (such as the link between ”three-month daily average” and “88,700 shares” in our CD Radio ... See full document
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