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[PDF] Top 20 Coupling for Coreference Resolution in a Never-ending Learning System

Has 10000 "Coupling for Coreference Resolution in a Never-ending Learning System" found on our website. Below are the top 20 most common "Coupling for Coreference Resolution in a Never-ending Learning System".

Coupling for Coreference Resolution in a Never-ending Learning System

Coupling for Coreference Resolution in a Never-ending Learning System

... semi-supervised learning paradigm [Zhu 2010], thus being susceptible to semantic-shift [Curran et ...performs learning from a different view, and at the end, both results are combined for a more accurate ... See full document

11

Learning Global Features for Coreference Resolution

Learning Global Features for Coreference Resolution

... Accordingly, we might expect non-local models with access to global features to perform signifi- cantly better. However, models incorporating non- local features have a rather mixed track record. For instance, ... See full document

11

A Multi classifier Approach to support Coreference Resolution in a Vector Space Model

A Multi classifier Approach to support Coreference Resolution in a Vector Space Model

... machine learning ap- proach is presented to deal with the coref- erence resolution ...multi-classifier system that classifies mention-pairs in a reduced dimensional vector ...CONLL-2011 ... See full document

8

Joint Learning for Coreference Resolution with Markov Logic

Joint Learning for Coreference Resolution with Markov Logic

... In this paper, we build a baseline system that uses maximum entropy models as the classification algo- rithm. For generation of training instances, we fol- low the method of Bengtson and Roth (2008). For each ... See full document

10

A Coreference Corpus and Resolution System for Dutch

A Coreference Corpus and Resolution System for Dutch

... For the Dutch coreference resolution module we use a typ- ical machine learning approach. We focus on identity re- lations. We start with detection of noun phrases in the documents after automatic ... See full document

6

Domain Adaptation with Active Learning for Coreference Resolution

Domain Adaptation with Active Learning for Coreference Resolution

... art coreference resolution system implemented by (Stoyanov et ...ence resolution system is raw text, and we apply a sequence of preprocessing components to process ...The ... See full document

9

Improving Machine Learning Approaches to Coreference Resolution

Improving Machine Learning Approaches to Coreference Resolution

... chine learning framework, which together consis- tently produce statistically significant gains in pre- cision and corresponding increases in ...that coreference resolution sys- tems can improve by ... See full document

8

Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures

Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures

... joint learning approach (Lu and Ng, 2017) which is the best per- forming model on the KBP 2016 ...pairwise coreference link ...based system also outperforms the pre- vious best model on the KBP 2016 ... See full document

11

Prune and Score: Learning for Greedy Coreference Resolution

Prune and Score: Learning for Greedy Coreference Resolution

... the system mention- s that are not part of gold ...extra system mentions as singleton clusters (Dur- rett and Klein, 2013; Chang et ...extra system mentions as s- ingleton clusters with our ... See full document

12

Error Analysis for Learning-based Coreference Resolution

Error Analysis for Learning-based Coreference Resolution

... a system with millions of features can always be augmented with some new ...our system already has a lot of encoded information and there- fore we have to improve the algorithm itself rather than in- ... See full document

6

Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution

Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution

... machine learning system for coref- erence resolution that is based on the large margin structure perceptron algorithm (Collins, 2002; Fer- nandes and Milidi´u, ...Our system learns a pre- ... See full document

8

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

... mize performance based on this information, as well as that of Denis et al. (2007), who do joint decoding of anaphoricity and coreference predic- tions using ILP. Both of these works are taken to contrast with the ... See full document

11

An Effective Hybrid Machine Learning Approach for Coreference Resolution

An Effective Hybrid Machine Learning Approach for Coreference Resolution

... Active learning method provides us a way that makes this combined fea- tures’ selection process goes in a proper ...a system can obtain an obvious per- formance improvement after several active learn- ing ... See full document

7

Joint Learning for Event Coreference Resolution

Joint Learning for Event Coreference Resolution

... event coreference resolvers have been evaluated on different corpora, such as MUC ...event coreference corpora are the ones used in the KBP 2015 and 2016 Event Nugget Detection and Coreference shared ... See full document

12

Coreference Resolution with Reconcile

Coreference Resolution with Reconcile

... erence resolution data sets as well as several for- mal evaluations on the task, it remains frustratingly difficult to compare results across different corefer- ence resolution ...end-to-end ... See full document

6

An Expectation Maximization Approach to Pronoun Resolution

An Expectation Maximization Approach to Pronoun Resolution

... above learning approaches require anno- tated training data for supervised ...anaphora resolution using unsupervised methods to extract useful information, such as gender and number (Ge et ...reference ... See full document

8

Active Learning for Coreference Resolution

Active Learning for Coreference Resolution

... Link selection yields a CR system that proposes a lot of singleton entities that are not coreferent with any other entity. The MUC scoring scheme does not give credit to singletons at all, thus the lower recall. ... See full document

5

Active Learning for Coreference Resolution

Active Learning for Coreference Resolution

... Coreference resolution is the task of deciding which entity mentions in a text refer to the same entity. Solving this problem is an important part of the larger task of natural language understanding in ... See full document

9

Coreference Resolution Using Competition Learning Approach

Coreference Resolution Using Competition Learning Approach

... In recent years, supervised machine learning approaches have been widely used in coreference resolution (Aone and Bennett, 1995; McCarthy, 1996; Soon et al., 2001; Ng and Cardie, 2002a), and have ... See full document

8

Semi-Supervised Never-Ending Learning in Rhetorical Relation Identification

Semi-Supervised Never-Ending Learning in Rhetorical Relation Identification

... Some languages do not have enough la- beled data to obtain good discourse pars- ing, specially in the relation identification step, and the additional use of unlabeled data is a plausible solution. A workflow is ... See full document

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