[PDF] Top 20 Jointly Learning Entity and Relation Representations for Entity Alignment
Has 10000 "Jointly Learning Entity and Relation Representations for Entity Alignment" found on our website. Below are the top 20 most common "Jointly Learning Entity and Relation Representations for Entity Alignment".
Jointly Learning Entity and Relation Representations for Entity Alignment
... aligned relation pairs to construct the test sets for relation ...achieves entity and rela- tion alignments simultaneously using only a small number of pre-aligned entities, and relation ... See full document
10
Relation Aware Entity Alignment for Heterogeneous Knowledge Graphs
... deep learning-based approach for many natural language process- ing tasks like semi-supervised node classification [Kipf and Welling, 2017], semantic role labeling [Marcheggiani and Titov, 2017] and neural machine ... See full document
7
Application Driven Relation Extraction with Limited Distant Supervision
... to relation extraction following the distant supervision paradigm have focused on exploiting large knowledge bases, from which they extract substantial amount of ...the relation extraction process, and ... See full document
6
Row less Universal Schema
... schema jointly embeds knowledge bases and textual patterns to reason about entities and rela- tions for automatic knowledge base construction and information ...past, entity pairs and relations were ... See full document
6
Incremental Joint Extraction of Entity Mentions and Relations
... extract entity mentions and rela- tions ...underlying learning algorithm has been successfully applied to some other Natural Language Processing (NLP) ...that relation struc- tures are more flexible, ... See full document
11
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
... multi-task learning framework with two explicit feedback strategies, as shown in Figure ...general representations of both tasks provided by multi-task learning; (3) is effective in determining ... See full document
8
Aligning Knowledge and Text Embeddings by Entity Descriptions
... (1) Jointly embedding is indeed effective. Both jointly embedding methods can well handle the cases of “e-w”, “w-e” and “w- w”, which means the vector computation between entities/relations and words are ... See full document
6
To Link or Not to Link? A Study on End to End Tweet Entity Linking
... and entity disambiguation into a single end- to-end entity linking ...structural learning tech- niques to jointly optimize the detection and disam- biguation of ...include entity ... See full document
11
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
... of relation paths to get better ...when learning representations of the ...the relation order of paths will alter the meanings of paths to a great ex- tent (as shown in Figure ...an ... See full document
10
Entity Disambiguation by Knowledge and Text Jointly Embedding
... an entity disambiguation method is commonly composed of three ...Constructing representations for men- tions/entities from raw data, often as the form of sparse ...or learning weights on the ... See full document
10
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
... joint learning algo- ...the entity model and the relation ...form entity detection and relation detection ...modeling entity-relation interactions ... See full document
8
EntEval: A Holistic Evaluation Benchmark for Entity Representations
... Rich entity representations are useful for a wide class of problems involving ...including entity typing, entity similarity, entity relation prediction, and entity disam- ... See full document
13
Entity, Relation, and Event Extraction with Contextualized Span Representations
... For entity and relation extraction, we compare D Y GIE++ against the D Y GIE system it ...reinforcement learning to focus the model on more difficult-to-detect ... See full document
6
Fine Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
... shown in Figure 5. On Wiki dataset, we observed a large variance in performance as compared to other two datasets. This might be because of the fact that Wiki dataset has a very small develop- ment set. From each of ... See full document
11
One for All: Neural Joint Modeling of Entities and Events
... ing entity mentions as being provided by human ...as entity mentions are usually predicted by some existing toolkits whose errors might be propagated to the event trigger and argument role ...by ... See full document
8
Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
... We now describe the how to represent context. Sparse bag-of-words (BoW): In this model, de- picted in Figure 1 (a), the context is represented as the addition of the one-hot vector for each word, with as many dimensions ... See full document
10
Improving Knowledge Graph Embedding Using Simple Constraints
... vectorial representations. In fact, these distributed representations can be taken as feature vectors for entities, with latent semantics encoded in different ...an entity can be encoded in its ...an ... See full document
12
An Approach to Collective Entity Linking
... of learning possi- ble. We jointly learn both node and edge feature weights following the general max-margin frame- work described in (Taskar et ...the learning problem can be for- mulated in terms ... See full document
10
A Method of Recognizing Entity and Relation
... Experiment Design. We compare five approaches in the experiments: Basic, Omnis- cient, ERPD, ERPD* and BN. The Basic approach, which is a baseline, tests the per- formance of the two classifiers at the first stage, which ... See full document
12
Informing Science: The International Journal of an Emerging Transdiscipline
... In the flowchart, each of the information engineering tech- niques plays a role in building the star schema. The Entity Relationship Diagram identifies the enterprise level data in- teractions. It also identifies ... See full document
9
Related subjects