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[PDF] Top 20 Exploiting Syntactico Semantic Structures for Relation Extraction

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Exploiting Syntactico Semantic Structures for Relation Extraction

Exploiting Syntactico Semantic Structures for Relation Extraction

... constrained structures to improve RE when the relations’ arguments are not ...in syntactico-semantic structures), we reduce er- ror propagation along a standard pipeline RE architecture, and ... See full document

10

Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

... Content Extraction (ACE) data, we evaluate the impact of convolu- tion tree kernels embedding lexical semantic sim- ...Latent Semantic Analysis ...kernels, structures and similarities for do- ... See full document

10

Capturing syntactico-semantic regularities among terms: An application of the FrameNet methodology to terminology

Capturing syntactico-semantic regularities among terms: An application of the FrameNet methodology to terminology

... actantial structures in different languages are quite probably equivalents, even though some differences may exist at the syntactic level ...actantial structures of terms as well as on the linguistic ... See full document

7

Exploiting the Role of Position Feature in Chinese Relation Extraction

Exploiting the Role of Position Feature in Chinese Relation Extraction

... entity. Extraction of semantic relations between entities or entity mentions can be very useful in many NLP applications, such as information extraction, question answering and ontology ... See full document

5

Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text

Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text

... wide-coverage semantic processing (Bur- chardt et ...predicate-argument structures and frame knowledge is an intuitive and straightforward approach to textual inference ... See full document

5

Attention Based Convolutional Neural Network for Semantic Relation Extraction

Attention Based Convolutional Neural Network for Semantic Relation Extraction

... Nowadays, neural networks play an important role in the task of relation classification. In this paper, we propose a novel attention-based convolutional neural network architecture for this task. Our model makes ... See full document

11

Evaluating Various Linguistic Features on Semantic Relation Extraction

Evaluating Various Linguistic Features on Semantic Relation Extraction

... linguistic structures except two elements: dependency rela- tions and some ...the relation “Occupation” is the following (for the same sentence as in Figure ... See full document

6

Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature

Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature

... Information Extraction (IE) is the process of find- ing relevant entities and their relationships within textual ...from Semantic Web to ...However, relation identification is more useful from an ... See full document

8

Dependency Based Text Compression for Semantic Relation Extraction

Dependency Based Text Compression for Semantic Relation Extraction

... high-quality extraction rules, we use a distant-supervision strategy that takes advantage of semi-structures resources, such as Wikipedia infoboxes or Freebase: 1 First, large sets of semantically related ... See full document

8

Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction

Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction

... for Semantic Role Labeling and then adapted by (Zhang et ...the relation Located-in between the entities ”officials” and ”Washington” from the ACE ... See full document

10

Exploiting graph kernels for high performance biomedical relation extraction

Exploiting graph kernels for high performance biomedical relation extraction

... Different variants of tree kernels can be obtained, based on the definition of a tree fragment, namely subtree, sub- set tree and partial tree. A subtree satisfies the constraint that if a node is included in the ... See full document

11

End-to-End Relation Extraction via Syntactic Structures and Semantic Resources

End-to-End Relation Extraction via Syntactic Structures and Semantic Resources

... Information Retrieval (IR) is concerned with finding the documents that answer a specific information need within a given corpus. Text retrieval is referred to finding relevant information in a text collection. It is ... See full document

134

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

Exploiting Constituent Dependencies for Tree Kernel Based Semantic Relation Extraction

... and Semantic Tree (UPST) to investigate the contribution of the EST to rela- tion ...entity-related semantic trees ...and relation extraction (Zhang et ... See full document

8

Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features

Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features

... causality extraction (Hashimoto et al., 2012) and other semantic NLP tasks (Oh et ...a semantic property of templates that classifies them into excitatory, inhibitory, and neu- ... See full document

11

Exploiting Background Knowledge for Relation Extraction

Exploiting Background Knowledge for Relation Extraction

... improve relation extraction perfor- ...the relation hierarchy which at the same time, gives globally coherent predictions and allows for easy injection of knowledge as ...using semantic ... See full document

9

Semantic Relations Established by Specialized Processes Expressed by Nouns and Verbs: Identification in a Corpus by means of Syntactico-semantic Annotation

Semantic Relations Established by Specialized Processes Expressed by Nouns and Verbs: Identification in a Corpus by means of Syntactico-semantic Annotation

... containing 34 specialized texts (2,444,791 words). TermoStat is a term extraction tool that compares specialized and non-specialized corpora in order to extract candidate terms. It was particularly interesting for ... See full document

6

Pāṇinian Syntactico Semantic Relation Labels

Pāṇinian Syntactico Semantic Relation Labels

... information extraction, etc. need semantic representations of ...automatic semantic role labelling system was developed by Gildea and Jurafsky ...with semantic roles is the difficulty involved ... See full document

11

Relating Syntax and Semantics: The Syntactico Semantic Lexicon of the System VIE LANG

Relating Syntax and Semantics: The Syntactico Semantic Lexicon of the System VIE LANG

... Cases of a case grammar at the one hand show regularities in their relation to syntactic constituents subject -> AGENT, at the other hand the relation between a role and a surface case i[r] ... See full document

5

Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug Drug Interaction Extraction

Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug Drug Interaction Extraction

... This paper presents an approach that exploits the scope of negation cues for relation extrac- tion (RE) without the need of using any specif- ically annotated dataset for building a separate negation scope ... See full document

7

Ensemble Semantics for Large scale Unsupervised Relation Extraction

Ensemble Semantics for Large scale Unsupervised Relation Extraction

... of relation in- stances extracted by an open IE algorithm as ...of relation phrases and fails to group many similar (“synonymous”) rela- tion instances because of the sparseness of ...million ... See full document

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