[PDF] Top 20 Coreference Resolution Using Competition Learning Approach
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Coreference Resolution Using Competition Learning Approach
... For a NP under consideration, all of its preceding NPs could be the antecedent candidates. Neverthe- less, since in the twin-candidate model the number of instances for a given anaphor is about the square of the number ... See full document
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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
An NP Cluster Based Approach to Coreference Resolution
... supervised learning-based approach to coreference resolu- ...our approach does resolution by ex- ploring the relationships between an NP and the coreferential ...rules learning ... See full document
7
Prune and Score: Learning for Greedy Coreference Resolution
... novel approach for search-based coreference resolution called ...incremental coreference resolution since the search space for coreference resolution con- sists of partial ... See full document
12
Improving Machine Learning Approaches to Coreference Resolution
... NP coreference system that investigates two types of extensions to the Soon et ...machine learning framework, which together pro- vide substantial and statistically significant gains in coreference ... See full document
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A Listwise Approach to Coreference Resolution in Multiple Languages
... This shared task attracted lots of researchers’ attentions, but finally only six teams submitted their final results. The participating systems differed in terms of architecture, machine learning methods, etc. ... See full document
10
Domain Adaptation with Active Learning for Coreference Resolution
... simplest approach to avoid the time- consuming data annotation in a new domain is to train a coreference resolution system on a resource-rich domain and apply it to a different target domain without ... See full document
9
End to end Deep Reinforcement Learning Based Coreference Resolution
... To avoid the cascading errors of pipeline sys- tems, recent NLP researchers have developed end- to-end approaches (Lee et al., 2017; Luan et al., 2018; Lee et al., 2018; Zhang et al., 2018), which directly consider all ... See full document
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Bootstrapping coreference resolution using word associations
... self-trained approach where a su- pervised model is trained on a corpus that was auto- matically labeled by the unsupervised model based on the association ...self-trained approach is better than the per- ... See full document
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Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
... for coreference resolution due to their efficiency and effectiveness, and they have often been taken as base models in ensemble learning (Rahman and Ng, 2011a; Munson et ...by using the ... See full document
10
Machine Learning for Mention Head Detection in Multilingual Coreference Resolution
... we approach the task of finding the men- tion heads by identifying syntactic heads, the task would be trivial if we had a full syntactic analy- sis, as provided in X-bar theory (Chomsky, 1970; Jackendoff, 1977) or ... See full document
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Improving Coreference Resolution by Learning Entity Level Distributed Representations
... left-to-right approach. Using a left-to-right strategy simply requires changing the preprocessing step ordering the mentions so men- tions are sorted by their position in the document instead of their ... See full document
11
An Expectation Maximization Approach to Pronoun Resolution
... above learning approaches require anno- tated training data for supervised ...unsupervised approach that partitions noun phrases into coreferent groups through clustering ...anaphora resolution ... See full document
8
A Knowledge-Based Approach for Unsupervised Chinese Coreference Resolution
... Coreference resolution is the process of determining the entity that noun phrases refer ...English, using approaches ranging from those based on linguistics to those based on machine ...Chinese ... See full document
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Learning Global Features for Coreference Resolution
... ignores much structural information, the mention- ranking approach has been attractive for at least two reasons. First, inference is relatively simple and ef- ficient, requiring only a left-to-right pass through a ... See full document
11
A Constraint Based Hypergraph Partitioning Approach to Coreference Resolution
... R ELAX C OR achieved second position in the official closed track results, as shown in Figure 20. The final column shows the official ranking score. The difference from the system in first place is 1.8 points, which is ... See full document
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Coupling for Coreference Resolution in a Never-ending Learning System
... [Duarte and Hruschka 2014] presented a discussion on semantic features (based on Kownledge Base’s (KB) relations) used by ConceptResolver and how the results could be improved with the addition of morphological features ... See full document
11
Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution
... our coreference resolver, we define θ to be the set of all candidate antecedents for an ...model using Equa- tion ...conservative approach and declines to make a ... See full document
8
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
... and coreference predic- tions using ...popular approach of do- ing an initial non-anaphoric pruning step (Ng and Cardie, 2002; Rahman and Ng, 2009; Recasens et ...proposed using the output of ... See full document
11
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
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