[PDF] Top 20 A Graph based Cross lingual Projection Approach for Weakly Supervised Relation Extraction
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A Graph based Cross lingual Projection Approach for Weakly Supervised Relation Extraction
... for relation extraction instead of using task-specific training or seed exam- ...tion extraction (Kim et ...this approach exploited a cross-lingual annotation pro- jection by ... See full document
6
A Cross lingual Annotation Projection based Self supervision Approach for Open Information Extraction
... 4) based on our proposed cross-lingual anno- tation projection-based self-supervised ...and relation-independent ... See full document
8
Cross lingual Structure Transfer for Relation and Event Extraction
... Information Extraction task, is doubly difficult from sources written in under-resourced and under-annotated lan- ...of cross- lingual structure transfer techniques for these ...exploit ... See full document
13
A convex relaxation for weakly supervised relation extraction
... for relation extraction (see ...method, based on an undirected graphical model, to solve the problem of weakly supervised relation ...between relation labels, such as the ... See full document
11
Cross Sentence N ary Relation Extraction with Graph LSTMs
... in relation extraction has focused on binary relations in single ...general relation extraction framework based on graph long short-term memory networks (graph LSTMs) that ... See full document
16
Weakly Supervised Cross Lingual Named Entity Recognition via Effective Annotation and Representation Projection
... are supervised ma- chine learning models that require large amounts of manually annotated data to achieve high ...two weakly supervised ap- proaches for cross-lingual NER with no human ... See full document
11
Neural Cross Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
... few weakly supervised cross-lingual RE ...create weakly labeled training data via aligned parallel ...the relation phrases back to the target-language ...adaptation ... See full document
11
Cross lingual Projected Expectation Regularization for Weakly Supervised Learning
... in weakly-supervised scenarios, as demonstrated by Yarowsky and Ngai (2001), and Xi and Hwa ...out projection noise by com- bining projections from from multiple source lan- ...this approach ... See full document
12
A Cross lingual Annotation Projection Approach for Relation Detection
... many supervised machine learning ap- proaches have been successfully applied to the RDC task (Kambhatla, 2004; Zhou et ...on weakly-supervised relation ...utilized ... See full document
8
Weakly Supervised Cross lingual Semantic Relation Classification via Knowledge Distillation
... a cross-lingual relation classifier trained only with English examples and a bilingual ...distillation approach to ac- count for translation ambiguity when trans- ferring knowledge from ... See full document
12
Weakly Supervised Attentional Model for Low Resource Ad hoc Cross lingual Information Retrieval
... Feature Extraction Convolutional Neural Networks (CNNs) have been found effective for extracting features from ...feature extraction for ...ture extraction for CLIR is similar to (Sasaki et ... See full document
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Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
... Tsvetkov et al. (2014) performed metaphor de- tection, using, among others, concreteness and im- ageability as their features. To propagate these features, obtained from the MRC psycholinguis- tic database (Wilson, 1988) ... See full document
6
Relaxed Cross lingual Projection of Constituent Syntax
... stituency projection can make use of the syntactic information of another language, so that it proba- bly induce a better ...syntax projection technique to supervised or semi-supervised ... See full document
10
Data Mining Information System
... Abstract— Decision making between couple of things gone turn out critical for human thinking ability. Though, it is not always simple to recognize what to evaluate and what are the alternatives. To tackle this ... See full document
6
ABSApp: A Portable Weakly Supervised Aspect Based Sentiment Extraction System
... Convention Impact Analysis. Analysis of sen- timent towards different aspects is useful also for measuring the impact of professional events, de- termining user impressions, and acting accord- ingly. ABSApp was used ... See full document
6
Clustering Based Stratified Seed Sampling for Semi Supervised Relation Classification
... clustering- based stratified seed sampling approach to semi-supervised ...bootstrapping approach in the semantic rela- tion classification subtask of the ACE RDC (Relation Detection and ... See full document
10
AUTOMATIC IMAGE ANNOTATION USING WEAKLY SUPERVISED GRAPH PROPAGATION
... another graph characterizing the incongruity relationship is ...this graph, the edge weight denotes patch ...the graph by maintaining the farthest neighbours for each image patch and setting other ... See full document
6
Cross lingual Discourse Relation Analysis: A corpus study and a semi supervised classification system
... English. Based on the PDTB, a number of studies have provided insightful analysis of the use of discourse connectives in English news text and have developed methods for the identification of discourse relations ... See full document
11
Annotation Projection based Representation Learning for Cross lingual Dependency Parsing
... a cross-lingual direct transfer method which uses universal dependency rules to con- struct linguistic constraints (Naseem et ...constraints- based method which uses typological features for ... See full document
10
Improving the Cross Lingual Projection of Syntactic Dependencies
... Treebank translation has been proposed by Tiede- mann et al. (2014). In this paper, we would like to explore the impact of our modifications of the pro- jection algorithm on that approach as well. For this, we use ... See full document
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