[PDF] Top 20 WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
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WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
... In this work, we address the lack of large train- ing sets for pronoun disambiguation by introduc- ing a large dataset that can be easily extended. To generate this dataset, we find passages of text where a ... See full document
10
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model
... an unsupervised, nonparamet- ric Bayesian approach to coreference reso- lution which models both global entity iden- tity across a corpus as well as the sequen- tial anaphoric structure within each ... See full document
8
A Coreference Corpus and Resolution System for Dutch
... the coreference resolution module, we run ten-fold cross-validation experiments on 242 documents from the KNACK ...to large fluctuations in the performance of a machine learning ... See full document
6
Cross Document Coreference on a Large Scale Corpus
... document coreference resolution, doing more careful work to find additional mentions of the entity in the ...within-document coreference chains produced by ... See full document
8
Extracting Bacteria Biotopes with Semi supervised Named Entity Recognition and Coreference Resolution
... a large amount of raw text. We also perform coreference resolution to deal with events hav- ing a large textual scope, which may span over several sentences (or even ...for coreference ... See full document
8
A Knowledge-Based Approach for Unsupervised Chinese Coreference Resolution
... pair-wise coreference decisions being made independently of the relationships of each element of a ...a large amount of data in order for meaningful statistics to be ... See full document
26
Joint Unsupervised Coreference Resolution with Markov Logic
... Further, deterministic or strong non-deterministic dependencies cause Gibbs sampling to break down (Poon & Domingos, 2006), making it difficult to leverage many linguistic regularities. For exam- ple, apposition (as ... See full document
10
Large Corpus based Semantic Feature Extraction for Pronoun Coreference
... in coreference resolution. The combination of large corpora and ‘deep’ analysis procedures has made it possible to acquire a range of semantic informa- tion and apply it to this ...a large ... See full document
9
Unsupervised Ranking Model for Entity Coreference Resolution
... Datasets. Due to the availability of readily parsed data, we select the APW and NYT sections of Giga- word Corpus (years 1994-2010) (Parker et al., 2011) to train the model. Following previous work (Cham- bers and ... See full document
7
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
8
Unsupervised Event Coreference Resolution with Rich Linguistic Features
... To preserve the consistency of semantic role features, we align frame elements to predicate ar- guments by running the PropBank semantic parser on the manual annotations from FrameNet; con- versely, we also run the ... See full document
11
Unsupervised Models for Coreference Resolution
... line, Degenerate EM performs consistently worse according to CEAF but generally better according to MUC. This discrepancy stems from the aforemen- tioned properties that MUC under-penalizes parti- tions with too few ... See full document
10
Chinese Event Coreference Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
... (IC) corpus (Hovy et al., 2013). The IC corpus, which at the time of writing is not yet pub- licly available, is different from the MUC and ACE corpora in that it is annotated with not only full event ... See full document
11
Bootstrapping coreference resolution using word associations
... an unsupervised framework that bootstraps a complete corefer- ence resolution (CoRe) system from word as- sociations mined from a large unlabeled cor- ...our unsupervised approach addresses ... See full document
10
Unsupervised Event Coreference Resolution
... The feature values selected by this mechanism are used to represent the event men- tions in the clustering process of the HDP. The main difference from the original imple- mentation of the HDP extensions is that, in this ... See full document
38
Coreference Resolution with World Knowledge
... Table 2 shows the results obtained when the dif- ferent types of features are added to the Baseline one after the other. Specifically, we add the feature types in this order: YAGO T YPE , YAGO M EANS , Noun Pairs, ... See full document
11
Coreference or Not: A Twin Model for Coreference Resolution
... for coreference res- olution: a link component, modeling the coref- erential relationship between an anaphor and a candidate antecedent, and a creation com- ponent modeling the possibility that a phrase is not ... See full document
8
Coreference Resolution with Reconcile
... for coreference resolution that can be used to easily create various coreference ...in coreference reso- lution, including implementation of the basic ar- chitecture of contemporary ... See full document
6
CRAFT Shared Tasks 2019 Overview — Integrated Structure, Semantics, and Coreference
... CRAFT corpus span ten Open Biomedical Ontologies (Smith et ...CRAFT corpus are permit- ted to have discontinuous spans with intervening text; ...CRAFT corpus are shown in Table ... See full document
11
Interoperable annotation of (co)references in the Democrat project
... In this paper, we presented a quick overview of the formats used for existing coreference-annotated corpora. While some efforts of standardization exist, it is our beliefs that those do not fulfill our goals of ... See full document
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