Search Results for author:
Found 12 papers, 8 papers with code
InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs
Our model outperforms the current state of the art on various NER datasets.
Ranked #5 on
Named Entity Recognition (NER)
on WNUT 2016
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
We propose an approach to predict the natural gas price in several days using historical price data and events extracted from news headlines.
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
In this paper, we describe DeFactoNLP, the system we designed for the FEVER 2018 Shared Task.
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
To this aim, an important step to detect fake-news is to have access to a credibility score for a given information source.
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies
The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing and interchanging information on machine learning algorithms, datasets, and experiments.
Neural Machine Translation for Query Construction and Composition
Research on question answering with knowledge base has recently seen an increasing use of deep architectures.
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
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.
Mandolin: A Knowledge Discovery Framework for the Web of Data
Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations.
Named Entity Recognition in Twitter using Images and Text
Named Entity Recognition (NER) is an important subtask of information extraction that seeks to locate and recognise named entities.
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
