[PDF] Top 20 Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction

... 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 process in the hid- den ...external knowledge to rich the representation of entity pair, in which way to improve the accuracy of atten- tion ...existing relation ... See full document

... of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled ...Freebase relation, we find all sentences containing those entities in a large un- ... See full document

... structured knowledge has led to great interest in relation extraction, especially in cases with limited ...distance supervision approaches only extract relations expressed in single ... See full document

... Distant supervision has been widely used in relation extraction tasks without hand-labeled datasets ...of knowledge bases, which is neglected by current distant supervised ... See full document

... Distant supervision can effectively label data for relation extraction, but suffers from the noise labeling ...filter distant su- pervision training dataset and redistribute the false ... See full document

... pattern-based relation extraction (Brin, 1998; Riloff et ...tion extraction across sentences due to its contribution to th eoverall task of relation ...relationship extraction, Roberts ... See full document

... to relation extraction following the distant supervision paradigm have focused on exploiting large knowledge bases, from which they extract substantial amount of ...the relation ... See full document

... Our work is closest to (Fan et al., 2014), since we focus on the same noisy corpus problem. Al- though from different perspectives, we study it along with the same line of using matrix factoriza- tion (Petroni et al., ... See full document

... Distant supervision (DS) is an important paradigm for automatically extracting rela- ...existing knowledge base to collect examples for the relation we intend to extract, and then uses ... See full document

... treated relation ex- traction as a supervised learning task and designed hand-crafted features to train kernel-based mod- ...the distant su- pervision approach (Mintz et ...toward knowledge bases ... See full document

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

... with relation extraction, such as convolutional neural network (CNN) (Zeng et ...general, relation extraction need mass high quality train- ing data, which could spend much time and ...used ... See full document

... In relation extraction, distant supervision seeks to extract relations between entities from text by using a knowledge base, such as Freebase, as a source of ...a ... See full document

... by distant supervi- ...the extraction results by the model of (Hoffmann et ...slot filling task of TAC KBP, we develop a new testing dataset which is sam- pled from a set by pooling the ... See full document

... These methods have been shown to be effec- tive for relation extraction. However, their per- formance depends strongly on the quality of the designed features. Most existing studies have con- centrated on ... 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 Annual Meeting of ... See full document

... extract relation instances from large-scale online natural language corpora without hand- labeled ...edge base online which contains billions of rela- tion instances and thousands of relation names, ... See full document

... per- relation binary labels of either Positive (P) or Neg- ative (N), we add a set of latent variables ℓ which models the true bag-level labels, to bridge the ob- served bag labels y and the MIML ... See full document

... Relation Extraction (RE) from text as defined in ACE (Doddington et al., 2004) concerns the extrac- tion of relationships between two entities. This is typically carried out by applying supervised learn- ... See full document