[PDF] Top 20 Projection based Coreference Resolution Using Deep Syntax

... Cross-lingual projection seems to be the bottleneck of the pro- posed ...by using better align- ment ...projected coreference by machine learn- ing harms a lot more for ...fit using almost the ... See full document

... of coreference resolution in full text articles in the CRAFT Shared Task ...a syntax-based mention filtering method and ...mentions based on the resulting parse ...the ... See full document

... of coreference res- olution. However, current neural coreference models are typically trained with heuristic loss functions that are computed over a sequence of local ...learning based ... See full document

... of deep neural networks aimed at the task of coreference resolution for ...best deep neural architecture with the sieve-based approach – the cascade of rule-based ... See full document

... ence resolution. It is based on mention-pair model, which means that a classifier makes a decision for every pair of mentions whether they belong to the same coreference cluster or ...into ... See full document

... Similar results were obtained for the cross- lingual system. The results for some metrics, such as MUC, decrease slightly, while the results for other metrics, such as LEA, increase a bit. Our cross-lingual system ... See full document

... knowledge-based coreference resolution system for noun phrases in Hungarian ...a deep parser and semantic relations form the Hungarian WordNet ...name coreference identification and our ... See full document

... We proposed several novel features for machine comprehension, including those based on frame semantics, dependency syntax, word embeddings, and coreference resolution. Empirical results ... See full document

... rive coreference features for classifier training, and results should be reported on system mentions; on the other hand, in the gold-standard setting, only the columns that were extracted from human ... See full document

... of coreference-annotated data the par- ticipants can use for ...German/Russian coreference data and use it to train a Ger- man/Russian coreference resolver, or adopt a heuristic-based approach ... See full document

... Modern coreference resolution systems re- quire linguistic and general knowledge typically sourced from costly, manually curated ...CoNLL-2012 using gold and automatic preprocessing, with system ... See full document

... of coreference relations, one of the reasons being the lack of annotated parallel corpora as well as the variability in the annotated ...tation projection across parallel corpora to create more ... See full document

... Recent work by Haghighi and Klein (2009), Klen- ner and Ailloud (2009) and Raghunathan et al. (2010) challenges the appropriateness of machine learning methods for CoRe. These researchers show that a “deterministic” ... See full document

... We would argue that the MUC scoring scheme is biased by a focus on the coreference resolution process rather than on the coreference resolution result. In particular, “the re- call (resp. ... See full document

... We improve the quality of our training set by re- moving known noisy cases before passing the set to EM. For example, we anticipate that sentences with quotation marks will be problematic, as other researchers have ... See full document

... omitted. Coreference links between a full and an ab- breviated version of the same name are under-represented in our training corpus and therefore the learners cannot re- liably extract ... See full document

... With regard to concept coreference, we found that even more coreferent mentions could be grouped together. However, while the current model only accidentally merged mentions of dif- ferent gold concepts in two ... See full document

... Compared with TC AD and TC THRESH, TC NEW produces large gains in the precision rates, which rank the highest among all the four systems. Although the recall also drops at the same time, the increase in the precision ... See full document

... The distribution of different types of noun phrases in biomedical articles differs from the distribution in other general text. Pronouns are very rare, accounting for about 3% of noun phrases; whereas proper names, ... See full document

... 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 achieved ... See full document