[PDF] Top 20 Infusion of Labeled Data into Distant Supervision for Relation Extraction

... 2011 data includes 200 query named entities with the relations they are involved ...a relation) as the test ...assessment data. We used KBP 2012 assessment data to generate guide- lines since ... See full document

... of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled ...require labeled corpora, avoiding the domain dependence of ACE- style ... See full document

... noisy labeled data and this causes poor ex- traction ...one relation while a knowledge base stores a subset of the ...birth relation between Michael Jackson and Gary in Figure ...birth ... See full document

... Distant supervision has been widely used in relation extraction tasks without hand-labeled datasets ...wrongly labeled negative instances due to the incompleteness of knowledge ... See full document

... Since then, it has gain popularity (Mintz et al., 2009; Bunescu and Mooney, 2007; Wu and Weld, 2007; Riedel et al., 2010; Hoffmann et al., 2011; Sur- deanu et al., 2012; Nguyen and Moschitti, 2011). To tolerate noisy ... See full document

... each relation in the KB requires that the source and destination entities should be of valid types, ...the relation “DirectorOfFilm” should be of the types “Director” and “Film” ...the relation even ... See full document

... corresponding labeled dataset, there is not a ground-truth test dataset to evaluate the performance of distant supervision re- lation extraction ...Similarly, relation facts that ... See full document

... Mike Mintz, Steven Bills, Rion Snow, and Dan Ju- rafsky. 2009. Distant supervision for relation ex- traction without labeled data. In Proceedings of the Joint Conference of the 47th ... See full document

... Relation Extraction (RE) from text as defined in ACE (Doddington et ...require labeled data, which is usually costly to pro- duce; (ii) they are typically domain-dependent as different domains ... See full document

... Distant supervision (DS) has been widely used to automatically construct (noisy) labeled data for relation extraction ...ties, distant supervision exploits ... See full document

... hand-labeled data and experimenting with a variety of lexical, syntac- tic and sematnic features (GuoDong et ...pattern-based relation extraction (Brin, 1998; Riloff et ...tion ... See full document

... to Relation Extrac- tion (RE) are characterized by higher ac- curacy than unsupervised ...training data for each rela- tion type. Automatic creation of such data using Distant ... See full document

... Distant supervision algorithms learn informa- tion extraction models given only large read- ily available databases and text ...generating labeled data, for example assum- ing that ... See full document

... ated label can be incomplete due to the incomplete knowledge base (Ritter et al., 2013). For exam- ple, the fourth relation mention in Figure 1 should be labeled by the relation Senate-of. However, ... See full document

... supervised relation extraction ap- proaches (Zeng et ...target relation type. Each relation type has a agent 1 ...incorrectly- labeled instances, we hope that our agent is ca- pable of ... See full document

... incorrectly labeled in- stances as a reinforcement learning ...the relation classifier to update parameters ...no relation between two entities or that the relation is of no ...The ... See full document

... Thus, the held-out evaluation suffers from false negatives in Freebase. We perform a manual eval- uation to eliminate these problems. For the manual evaluation, we choose the entity pairs for which at least one ... See full document

... testing data generated by distant supervi- ...testing data could be wrong due to the limitation of dis- tant supervision ...testing data may affect the experimental ...the ... See full document

... Distant supervision (DS) is an important paradigm for automatically extracting rela- ...the relation we intend to extract, and then uses these examples to au- tomatically generate the training ... See full document

... Because the two types of lexical features used in our passage retrieval models are not used in MUL- TIR, we created another baseline MULTIRLEX by adding these features into MULTIR in order to rule out the improvement ... See full document