[PDF] Top 20 Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction

... sentence bag as the basic training instance, instead of individual ...Each bag would contain a group of sentences labeled by the same KB ...one bag, while more improvements (Lin et ...Selective ... See full document

... Distantly supervised relation extraction, which can automatically generate training data by align- ing facts in the existing knowledge bases to text, has gained much ...specific ... See full document

... We use cross-validation to determine the parame- ters in our model. Soft-label method uses PCNN- ONE/PCNN-ATT to represent the bags of entity pairs, and we don’t tune on the parameters of PCNN-ONE/PCNN-ATT for ... See full document

... a distantly supervised relation extractor will be less accurate than those of a supervised ...that extraction precision still leaves much room for ...nationality relation ... See full document

... Distantly-supervised relation extraction has proven to be effective to find relational facts from ...multi-layer attention-based model to improve relation extraction with ... See full document

... traction, which could automatically capture fea- tures from texts. Zeng et al. (2015) further ex- tended it with piecewise max-pooling, i.e., split- ting the sentence into three pieces with the ob- ject and subject ... See full document

... the supervised joint learning algo- ...and relation detection ...2016), attention-based model (Katiyar and Cardie 2017), sequen- tial labelling model (Zheng et ... See full document

... Distantly Supervised Relation Extraction Early distantly supervised approaches (Mintz et ...per relation instance correctly expresses the ...selective attention ... See full document

... and j th column of T and T 0 . The element values of matrix T 0 are also updated via backpropagation during training. As shown in Figure 4, using one global transition matrix ( GTM) is also beneficial and improves both ... See full document

... self- attention approach was proposed by Zhang et ...entity-relations extraction task. Du et al. (2018) utilized self- attention mechanisms for better MIL sentence- level and bag-level ... See full document

... a relation, at least one sentence that mentions these two entities might express that ...selective attention mechanism to reduce the noise through a sentence ...selective attention mech- anism ... See full document

... large, cross-domain knowledge bases requires methods which are suitable across domains, do not require manual effort to adapt to new domains, are able to deal with noise, and integrate information extracted from ... See full document

... This paper proposes a semi-supervised learn- ing method for relation extraction. Given a small amount of labeled data and a large amount of unlabeled data, it first bootstraps a moderate number of ... See full document

... Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are the ear- liest and commonly used approaches for relation extraction. Zeng et al. (2014) showed that CNN with position embeddings ... See full document

... per bag, which is an asumption that is not true for relation extraction (see ...weakly supervised relation ...between relation labels, such as the fact that two labels cannot be ... See full document

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

... Our cross-lingual structure transfer approach (see Figure 2) consists of four steps: (1) Convert each sentence in any language into a language-universal tree structure based on universal dependency pars- ...train ... See full document

... Tseng et al. (2014) describe an open RE for Chi- nese that employs word segmentation, POS-tagging, dependency parsing. Lewis and Steedman (2013) learn clusters of semantically equivalent relations across French and ... See full document

... Figure 1: Sar-graph for two English constructions. The artificially simplified example in Figure 2 may serve to illustrate the structure and contents of a more complex sar-graph. The target relation is marriage ... See full document

... English-to-Chinese attention weights respectively with respect to the relation PlaceOfBirth in ...their attention weights from CNN+Zh and ...with cross-lingual at- tention, MNRE can identify ... See full document