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Found 24 papers, 15 papers with code
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)
WebNLG+ offers two challenges: (i) mapping sets of RDF triples to English or Russian text (generation) and (ii) converting English or Russian text to sets of RDF triples (semantic parsing).
A General Benchmarking Framework for Text Generation
The RDF-to-text task has recently gained substantial attention due to the continuous growth of RDF knowledge graphs in number and size.
Convolutional Hypercomplex Embeddings for Link Prediction
We propose the four approaches QMult, OMult, ConvQ and ConvO to tackle the link prediction problem.
Knowledge Graph Question Answering using Graph-Pattern Isomorphism
In this paper, we present a novel QA approach, dubbed TeBaQA.
A shallow neural model for relation prediction
We predict missing triples via the relation prediction.
NABU $\mathrm{-}$ Multilingual Graph-based Neural RDF Verbalizer
The RDF-to-text task has recently gained substantial attention due to continuous growth of Linked Data.
Knowledge Graphs for Multilingual Language Translation and Generation
Entities can be classified into two groups, i. e., proper nouns and common nouns.
Where is Linked Data in Question Answering over Linked Data?
We argue that "Question Answering with Knowledge Base" and "Question Answering over Linked Data" are currently two instances of the same problem, despite one explicitly declares to deal with Linked Data.
A Holistic Natural Language Generation Framework for the Semantic Web
With the ever-growing generation of data for the Semantic Web comes an increasing demand for this data to be made available to non-semantic Web experts.
Semantic Web for Machine Translation: Challenges and Directions
Moreover, our research suggests that while Semantic Web technologies can enhance the quality of machine translation outputs for various problems, the combination of both is still in its infancy.
Augmenting Neural Machine Translation with Knowledge Graphs
While neural networks have been used extensively to make substantial progress in the machine translation task, they are known for being heavily dependent on the availability of large amounts of training data.
Enriching the WebNLG corpus
This paper describes the enrichment of WebNLG corpus (Gardent et al., 2017a, b), with the aim to further extend its usefulness as a resource for evaluating common NLG tasks, including Discourse Ordering, Lexicalization and Referring Expression Generation.
Neural Machine Translation for Query Construction and Composition
Research on question answering with knowledge base has recently seen an increasing use of deep architectures.
Entity Linking in 40 Languages using MAG
A plethora of Entity Linking (EL) approaches has recently been developed.
NeuralREG: An end-to-end approach to referring expression generation
Traditionally, Referring Expression Generation (REG) models first decide on the form and then on the content of references to discourse entities in text, typically relying on features such as salience and grammatical function.
Expeditious Generation of Knowledge Graph Embeddings
Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space.
Ranked #1 on
Link Prediction
on AKSW-bib
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data.
LIDIOMS: A Multilingual Linked Idioms Data Set
In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian.
Machine Translation using Semantic Web Technologies: A Survey
A large number of machine translation approaches have recently been developed to facilitate the fluid migration of content across languages.
BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking
The main advantage of our benchmarks is that they can be readily generated at any time.
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation
Named Entity Recognition and Disambiguation (NERD) systems have recently been widely researched to deal with the significant growth of the Web.
SPARQL as a Foreign Language
In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains.
Graph Question Answering
Knowledge Base Question Answering
+1
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Currently, the best performing approaches rely on trained mono-lingual models.
Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues
This paper introduces a novel approach to tackle the existing gap on message translations in dialogue systems.
