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[PDF] Top 20 Sentence Embedding Alignment for Lifelong Relation Extraction

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Sentence Embedding Alignment for Lifelong Relation Extraction

Sentence Embedding Alignment for Lifelong Relation Extraction

... to relation extraction usually require a fixed set of pre-defined re- ...as lifelong relation extraction and investigate memory- efficient incremental learning methods without ... See full document

11

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

... rent sentence and the sentences that have been re- moved in early ...of sentence is represented by a con- tinuous real-valued ...supervised relation extraction ap- proaches (Zeng et ...word ... See full document

11

Cross Sentence N ary Relation Extraction with Graph LSTMs

Cross Sentence N ary Relation Extraction with Graph LSTMs

... Most neural architectures resemble Figure 2, where there is a core representation learner (blue) that takes word embeddings as input and produces contextual entity representations. Such representa- tions are then taken ... See full document

16

Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision

Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision

... the sentence and collect heuristically aligned data for the RE based on distant ...construct sentence embedding, relation flow embedding, and finally to generate a single concentrated ... See full document

5

Neural Cross Lingual Relation Extraction Based on Bilingual Word Embedding Mapping

Neural Cross Lingual Relation Extraction Based on Bilingual Word Embedding Mapping

... a sentence, an RE model determines whether these two entities have a rela- tionship, and if yes, classifies the relationship into one of the pre-defined relation ... See full document

11

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

... mention, sentence level features are extracted which include part of speech, named entity and de- pendency tree path ...no relation (labeled “NA”) – there are 4700 Freebase relations mentioned in the ... See full document

6

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

... 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 ... See full document

8

Global Relation Embedding for Relation Extraction

Global Relation Embedding for Relation Extraction

... mechanism to weight contextual sentences, and in- corporate additional entity description information from knowledge bases. Luo et al. (2017) manage to alleviate the negative impact of noise by mod- eling and learning ... See full document

11

Improved Relation Extraction with Feature Rich Compositional Embedding Models

Improved Relation Extraction with Feature Rich Compositional Embedding Models

... of sentence an- notations and utilizing global information for ...two relation extraction tasks, and demonstrate that our model outper- forms both previous compositional models and traditional ... See full document

11

Meta Learning Improves Lifelong Relation Extraction

Meta Learning Improves Lifelong Relation Extraction

... an alignment module as proposed by Wang et ...their alignment module), its variant without the alignment module (EA-EMR NoAlign) and our ap- proach ...on Lifelong FewRel and Lifelong ... See full document

6

Sentence Alignment for Monolingual Comparable Corpora

Sentence Alignment for Monolingual Comparable Corpora

... Our full method outperforms both the base- line (“Cosine”) and the more complex systems (“SimFinder” and “Decomposition”). Interestingly, methods that use simple local similarity functions significantly outperform ... See full document

8

Sentence Alignment of Historical Classics based on Mode Prediction and Term Translation Pairs

Sentence Alignment of Historical Classics based on Mode Prediction and Term Translation Pairs

... anchor sentence according to Chi- nese anchor ...anchor sentence must satisfy the following four conditions: (1) The anchor sentence is not the first sentence or the last sentence of ... See full document

5

A Sentence Simplification System for Improving Relation Extraction

A Sentence Simplification System for Improving Relation Extraction

... Relation Extraction (RE) is the task of recognizing the assertion of relationships between two or more entities in NL ...hand-crafted extraction patterns or patterns learned from hand-labeled ... See full document

5

Inter sentence Relation Extraction with Document level Graph Convolutional Neural Network

Inter sentence Relation Extraction with Document level Graph Convolutional Neural Network

... Chemical-Disease Relations dataset (CDR): The CDR dataset is a document-level, inter- sentence relation extraction dataset developed for the BioCreative V challenge (Wei et al., 2015). CHemical ... See full document

8

Integrating Word Embedding Offsets into the Espresso System for Part-Whole Relation Extraction

Integrating Word Embedding Offsets into the Espresso System for Part-Whole Relation Extraction

... part-whole relation extraction problem, the Espresso bootstrap- ping algorithm (Pantel and Pennacchiotti, 2006) has proved to be effective by significantly improving re- call while keeping high ...induce ... See full document

9

Exploiting Sentence Embedding for Medical Question Answering

Exploiting Sentence Embedding for Medical Question Answering

... Fig.6 demonstrates how multi-scale mechanism outper- forms the word-level models. The longer the strip is, the more support the statement receives from the document. Both the statement and positive document is about ... See full document

8

Improved Unsupervised Sentence Alignment for Symmetrical and Asymmetrical Parallel Corpora

Improved Unsupervised Sentence Alignment for Symmetrical and Asymmetrical Parallel Corpora

... model-optimal alignment composed of the smallest possible correspondences, namely 1-to- 0/0-to-1 and 1-to-1, and then merges those cor- respondences into larger ...the alignment procedure low: our aligner ... See full document

9

UGENT LT3 SCATE System for Machine Translation Quality Estimation

UGENT LT3 SCATE System for Machine Translation Quality Estimation

... English-Spanish sentence pairs generated by a statistical MT system, which consists of a train- ing set of 11,271 sentences, a development set of 1,000 sentences and a test set of 1,817 ... See full document

8

A Novel Digital Blind Watermark Embedding Process Using Gain Control Tamper Detection Algorithm

A Novel Digital Blind Watermark Embedding Process Using Gain Control Tamper Detection Algorithm

... The watermark should be unnoticeable so as not to affect the screening experience of the image or the quality of the audio signal. The watermarking algorithm should embed the watermark in some watermarking applications, ... See full document

5

Cross Sentence N ary Relation Extraction using Lower Arity Universal Schemas

Cross Sentence N ary Relation Extraction using Lower Arity Universal Schemas

... existing relation extraction approaches exclusively target binary relations, and n-ary relation extraction is relatively ...n-ary relation extrac- tion method is based on a supervised ... See full document

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