[PDF] Top 20 Event Extraction Using Distant Supervision

... We compare this local classifier to a majority class base- line. The majority baseline assigns the most common label for each named entity type as observed in the training doc- uments (see Table 2). Concretely, all ... See full document

... relation extraction (SeeDev- binary), considered only relations between two ar- guments; the second, full event extraction, con- sidered relations that could be composed by two to eight ... See full document

... for distant supervision in informa- tion extraction, yet such methods are often limited to binary relations and none can han- dle nested ...alize distant supervision to complex knowl- ... See full document

... Content Extraction (ACE) RDC 2003 and 2004 corpora, for example, include over 1,000 documents in which pairs of entities have been la- beled with 5 to 7 major relation types and 23 to 24 subrelations, totaling ... See full document

... in distant supervision (Koch et ...relations using the state-of- the-art Stanford coreference systems (Lee et ...relations using the winning approach (Wang and Lan, 2015) in the CoNLL-2015 ... See full document

... the ratio of the number of labeled entity pairs ap- pearing with pattern s to the number of entity pairs including unlabeled ones. RS then selects the top n patterns (RS(rank)). We also tested a version us- ing a ... See full document

... by using mul- tilevel self-attention. To account for the noise in distant supervision labels, Liu et ...of using “soft labels” that do not nec- essarily agree with the distant ... See full document

... Given large amounts of labeled sentences, supervised methods are able to achieve good performance (Zhao and Grishman, 2005; Bunescu and Mooney, 2005). However, it is difficult to handle large scale corpus due to the high ... See full document

... Distant supervision usually utilizes only unlabeled data and existing knowledge bases to learn relation extraction ...relation-level distant supervision from a ... See full document

... However, the performance of the methods men- tioned above strongly depends on the quality of human-designed features. With the development of neural models, relation features with seman- tic meaning can be accurately, ... See full document

... information extraction (IE), a knowledge base (KB) of relation or concept instances is used to train an IE sys- ...In distant supervision, instances are first matched against a corpus, and the match- ... See full document

... training data due to their high-precision low-recall features, which were originally proposed by Mintz et al. (2009). We present a reliable and novel way to address these issues and achieve significant improvement over ... See full document

... noisy distant supervision dataset be- fore relation extraction, which explains the origin of these further improvements in Figure 5 and Fig- ure ... See full document

... of using distant supervision for knowledge base population is that it either requires a very large corpus, such as the Web, or a big knowl- edge base for ...such, distant supervision ... See full document

... The attraction of this approach is that the only input required is a list of seed instances of the relation in question and a corpus of sentences expressing new instances of that relation. However, existing studies ... See full document

... of underlying event types (which give rise to such rules) is assumed. Hence, here we follow a dif- ferent, more flexible approach, that relies on a ro- bust statistical learning framework for identifying relevant ... See full document

... gorithms at almost all recall levels (with the excep- tion of a very small region in the PR-curve). This demonstrates that by treating unla-beled data set dif- ferently and leveraging the missing positive bags, MIML-semi ... See full document

... When constructing the dataset, named entity mentions were first extracted from the text of NYT articles by using Stan- ford Named Entity Tagger (Finkel et al., 2005). Then, the named entity mentions were linked to ... See full document

... relation extraction, it can be clearly noticed that signif- icantly a large number of studies have focused on intra- sentence relation extraction in comparison to the research work on inter-sentence ... See full document

... of distant supervision and demonstrated that it can be successfully adopted for domains where named entity recognition and normalization is still an unsolved issue and the closed world assumption might be ... See full document