semantic relation extraction
Semantic Relation Extraction from a Cultural Database
... in semantic relation extraction has shown the possibility to automatically find such relation ...discover relation instances based on the outputs from dependency ...tract ...
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Automatic semantic relation extraction from Portuguese texts
... Automatic semantic relation extraction is a task for which existing systems still don’t have high performance (Girju et al., 2010), mainly due to its complexity. Considering the Portuguese language, ...
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Dependency Based Text Compression for Semantic Relation Extraction
... A semantic relation found in a sentence can be usually represented by a dependency link between two entities, even if there are items of extra informa- tion that can make the sentence very ...
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A Study of Hybrid Similarity Measures for Semantic Relation Extraction
... the semantic relation, nouns and compound nouns stand between the square ...form. Semantic similarity score is equal to the number of co-occurences of terms in the square brackets within the same ...
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Evaluating Various Linguistic Features on Semantic Relation Extraction
... desired relation from (semi)structured resources, such as Wikipedia ...tion relation we get pairs such as “Michel Tournier - writer”, “Edgar Snow - journalist”, ...
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Attention Based Convolutional Neural Network for Semantic Relation Extraction
... for relation classification to learn vectors in the syntactic tree path connecting two nominals to determine their semantic ...neural relation extraction model allowing for the explicit ...
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Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction
... kernel-based relation extraction, and proposes a new approach to dynamically determine the tree span (DSPT) for relation instances by exploiting constituent ...entity-related semantic features ...
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Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports
... the relation of location, we can distinguish two kinds of relations depending on the ...the relation r_lieu (hepatocellular carcinoma is at the level of the ...second relation is ...
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A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction
... Latent Semantic Analysis (Landauer et Dumais, 1997), trained on the TASA corpus (Veksler et ...However, extraction capability of such measures is limited by the corpus – if “TALN” does not occur in the text ...
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Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
... for semantic relation extraction, as de- scribed in many reports such as (Kambhatla, 2004); (Bunescu and Mooney, 2005); (Harabagiu et ...for semantic relation extraction are ...
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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel based Method for Relation Extraction
... the semantic syntac- tic tree kernel (SSTK) (Bloehdorn and Moschitti, 2007) and apply it to the domain adaptation prob- lem of ...latent semantic analysis (LSA) of large ...latent semantic but differ ...
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A Text Based Video Retrieval Using Semantic and Visual Approach
... kind semantic video indexing is a step towards automatic video indexing and retrieval, therefore a latent semantic indexing (LSI) technique is ...Latent semantic indexing (LSI), it is a technique ...
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Neural Temporal Relation Extraction
... our relation extraction tasks, de- spite the intuition that LSTMs, by modeling the entire word sequence, should be a better model of natural language ...
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Adversarial Training for Relation Extraction
... of relation ex- traction, where the goal is to predict the relation that exists between a particular entity pair given several text ...setting, relation extraction is much harder than the ...
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Cross lingual Semantic Specialization via Lexical Relation Induction
... Lexical simplification (LS) aims to automatically replace complex words (i.e., specialized terms, words used less frequently and known to fewer speakers) with their simpler in-context synonyms: the simplified text must ...
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Disamibiguating and Interpreting Verb Definitions
... In a second group of cases, the correct semantic relation, based on the appropriate semantic category, is one of 2 andrarely of 3 semantic relations assigned to the string.. There are 15[r] ...
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Incorporating Relation Paths in Neural Relation Extraction
... supervised relation extraction has been widely used to find novel rela- tional facts from plain ...the relation between a pair of two target entities, existing methods solely rely on those direct ...
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Global Relation Embedding for Relation Extraction
... relation extraction models (Bunescu and Mooney, ...textual relation embedding under the supervised setting (Xu et ...(KB) relation is likely to ex- press the relation,” can be violated ...
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Kernel Methods for Relation Extraction
... Language Processing EMNLP, Philadelphia, July 2002, pp.. Proceedings of the Conference on Empirical Methods in Natural.[r] ...
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A Context-Aware Relation Extraction Method for Relation Completion
... identify relation completion as one recurring problem that is central to the success of some emerging ...the semantic relation between those two data sets is always “same ...that semantic ...
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