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03/27/2023
TabIQA: Table Questions Answering on Business Document Images
Table answering questions from business documents has many challenges th...
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03/14/2023
Rethinking Image-based Table Recognition Using Weakly Supervised Methods
Most of the previous methods for table recognition rely on training data...
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11/10/2022
Wikidata-lite for Knowledge Extraction and Exploration
Wikidata is the largest collaborative general knowledge graph supported ...
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10/05/2020
TabEAno: Table to Knowledge Graph Entity Annotation
In the Open Data era, a large number of table resources have been made a...
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10/02/2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Entity representations are useful in natural language tasks involving en...
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10/01/2019
MTab: Matching Tabular Data to Knowledge Graph using Probability Models
This paper presents the design of our system, namely MTab, for Semantic ...
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12/15/2018
Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
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12/15/2018
Wikipedia2Vec: An Optimized Implementation for Learning Embeddings from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
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06/26/2018
EmbNum: Semantic labeling for numerical values with deep metric learning
Semantic labeling is a task of matching unknown data source to labeled d...
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05/06/2017
Learning Distributed Representations of Texts and Entities from Knowledge Base
We describe a neural network model that jointly learns distributed repre...
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01/06/2016
