[PDF] Top 20 Label Embedding for Zero shot Fine grained Named Entity Typing
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Label Embedding for Zero shot Fine grained Named Entity Typing
... on zero-shot FNET but several research lines are considered related to this work: fine-grained named entity recognition, prototype-driven learning, and multi-label ... See full document
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Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types
... We have addressed the task of assigning fine-grained NE type labels to Wikipedia articles. To address the data sparseness problem, which is salient par- ticularly in fine-grained type classification, we have ... See full document
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Evaluating Word Embeddings in Multi label Classification Using Fine Grained Name Typing
... Word embeddings are global representations of word properties learned from the context distribu- tion of words. Words are usually ambiguous and belong to multiple classes, e.g., multiple part-of- speech tags or multiple ... See full document
6
Fine Grained Entity Typing in Hyperbolic Space
... Type inventories for the task of fine-grained entity typing (Ling and Weld, 2012; Gillick et al., 2014; Yosef et al., 2012) have grown in size and com- plexity (Del Corro et al., 2015; Murty ... See full document
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Corpus level Fine grained Entity Typing Using Contextual Information
... Named entity recognition (NER) is the task of detecting and classifying named entities in ...of entity classes, recent work has addressed fine-grained NER (Yosef et ...classify ... See full document
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Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
... and entity) (Yaghoobzadeh and Sch¨utze, ...an entity is a member of a type based on the learned ...an embedding based method which combines a global model with a context ...an entity graph and ... See full document
10
Ultra Fine Entity Typing
... for fine-grained NER systems is typically obtained by linking entity mentions and drawing their types from knowledge bases ...mining entity men- tions that were linked to Wikipedia in HTML, ... See full document
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Fine Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
... on Named Entity Recognition (NER) (Collins and Singer, 1999; Tjong Kim Sang and De Meul- der, 2003; Ratinov and Roth, 2009; Manning et ...classifies entity mentions into a small set of mutually ... See full document
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Yaghoobzadeh, Yadollah (2017): Distributed representations for fine-grained entity typing. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Named entity recognition (NER) is the task of detecting and classifying named entities in ...of entity classes, recent work has addressed fine-grained NER (Yosef et ...more ... See full document
103
Triple Classification Using Regions and Fine-Grained Entity Typing
... vector-based embedding approach. We propose a new region-based embedding ap- proach using fine-grained type ...achieves zero energy cost, therefore, serves as a case study of perfectly ... See full document
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Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing
... consider named entities, a simple concatenation of the two features [C; M] followed by a linear output layer (Shi- maoka et ...of entity men- tions are actually pronouns, such as “he” or “it”, this kind of ... See full document
12
Description Based Zero shot Fine Grained Entity Typing
... Entity Typing assigns a semantic type ...an entity mention in text based on the local ...and entity linking (Stern et al., 2012). Traditional Named Entity Typing systems ... See full document
8
AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding
... Traditional named entity recognition systems adopt manually annotated corpora as training data (Nadeau and Sekine, ...of fine-grained types is too expensive and error- prone (hard for ... See full document
10
FINET: Context Aware Fine Grained Named Entity Typing
... each entity is annotated with appropriate ...for fine- grained type ...each named entity is associated with all its types in a ...the entity was ... See full document
11
Life iNet: A Structured Network Based Knowledge Exploration and Analytics System for Life Sciences
... 3.2 Hypothetical Relationship Generation In life sciences, some entity relation- ships (e.g., of type DrugTargetGene, GeneDiseaseAssociation) may not be explicitly expressed in the existing literature. However, ... See full document
6
Multi grained Named Entity Recognition
... Another series of approaches for Nested NER are based on hypergraphs. The idea of using hy- pergraph is first introduced in Lu and Roth (2015), which allows edges to be connected to differ- ent types of nodes to ... See full document
11
Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence
... [3]. Named entity linking is a crucial task in this process, ensuring that the extracted informa- tion is assigned to the correct entities such as persons, or- ganizations or ...for named en- tity ... See full document
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Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence
... Query & Object Mapping Company Disambiguation Profile Location Disambiguation Profile Person Disambiguation Profile Named Entity Annotations Amitay-based Disambiguation Al[r] ... See full document
21
Zero Shot Entity Linking by Reading Entity Descriptions
... an entity linking sys- tem links m to the corresponding entity in an en- tity set E = {e i } ...The entity set E can contain tens of thousands or even millions of entities, making this a challeng- ... See full document
12
Automatically Developing a Fine grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia
... hierarchical named en- tity taxonomy that is very fine, with 150 ...the named entities in a newswire corpus, in addition to analysing the answer type for a set of questions used in a Text Retrieval ... See full document
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