[PDF] Top 20 Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
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Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
... for coreference that does not require pre- specifying any feature ...in learning representations for nat- ural language tasks (Collobert et ...unconjoined features as input, and attempt to learn ... See full document
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Combining Dependency and Constituent-based Syntactic Information for Anaphoricity Determination in Coreference Resolution
... Alternatively, anaphoricity determination and antecedent identification have been modeled as a joint task more ...joint anaphoricity determination and antecedent identification by informing ... See full document
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Syntactic Parsing for Ranking Based Coreference Resolution
... tured features for the joint CR ...tured features is simplicity: we no longer need to design heuristics to extract the desired fea- tures ...structured features to train an MP model for anaphora ... See full document
9
Machine Learning for Coreference Resolution: From Local Classification to Global Ranking
... partition-based features and method-based features, we train our ranking model using each type of features in iso- ...of features are applied in ...of features are ... See full document
8
Specialized Models and Ranking for Coreference Resolution
... their resolution preferences. Thus, the resolution of lexical expressions like definite descriptions and proper names is likely to benefit from the inclusion of features that compare the strings of ... See full document
10
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non local Features
... local features are used, greedy search (either with CLE or the best-first decoder) suffices to find the highest scoring ...Non-local features, however, render the ex- act search problem ...non-local ... 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
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Dependency driven Anaphoricity Determination for Coreference Resolution
... on coreference resolution of different NP ...an anaphoricity determination module in advance harms the ...for coreference resolu- tion which modeled anaphoricity and corefer- ence as a ... See full document
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Joint Learning for Event Coreference Resolution
... event coreference also allows an event mention to be posited as non-anaphoric (by resolving it to a null candidate antecedent), our decision to train a sep- arate anaphoricity model and integrate it ... See full document
12
Understanding the Value of Features for Coreference Resolution
... our features are similar to those described in Culotta et ...Relation Features, Gender and Num- ber Match, WordNet Features, Alias, Apposition, Relative Pronoun, and Both Mentions ...those ... See full document
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Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
... Coreference resolution, the task of determining which noun phrases (NPs) in a text refer to the same real-world entity, has long been considered an important and difficult problem in natural language ...on ... See full document
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Active Learning for Coreference Resolution
... four coreference measures: MUC, B3, entity-based CEAF (hence- forth: CEAF), and the arithmetic mean of MUC, B3 and CEAF (as suggested by the CoNLL-2011 shared ... See full document
5
Exploring Lexicalized Features for Coreference Resolution
... in coreference resolution – the training set comprises 2,374 ...lexicalized features. Besides lexical features, we created features that use part-of-speech tags and semantic ... See full document
6
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 ...the antecedent for the ...the antecedent for the ... See full document
8
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
Analyzing and Visualizing Coreference Resolution Errors
... Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, Ed- uard Hovy, Vincent Ng, and Michael Strube. 2014. Scoring coreference partitions of predicted mentions: A reference implementation. In Proceedings of the 52nd ... See full document
5
Multi Lingual Coreference Resolution With Syntactic Features
... pronoun resolution work (Hobbs, 1976; Lappin and Leass, 1994; Ge et ...as features in a maximum entropy corefer- ence system; (3) The syntactic features are evaluated on three languages: Arabic, ... See full document
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Unsupervised Event Coreference Resolution with Rich Linguistic Features
... cross-document coreference an- notations, we adopted the same approach as de- scribed in (Bagga and Baldwin, 1999) by merg- ing all the documents from the same topic into a meta-document and then scoring this ... See full document
11
Word Embeddings as Features for Supervised Coreference Resolution
... study, coreference chains are viewed as complete one directional graphs, following the order in which mentions occur in the ...and antecedent decisions made by a system are used in a similar ... See full document
8
Lexical Features in Coreference Resolution: To be Used With Caution
... For a less overlapping genre, i.e. wb, the perfor- mance gain of including the genre in the training data is significantly lower for all lexicalized sys- tems. Interestingly, the performance of berkeley- final, cort and ... See full document
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