Pinned Repositories
AdaGram.jl
Adaptive Skip-gram implementation in Julia
AMUSE
A Multilingual Semantic Parsing Approach for QALD
Answering-Remedia-Courpus-using-Natural-Language-Processing
Question Answering on Remedia Corpus
bioasq
OAQA Biomedical Question Answering (BioASQ) System
causeofwhy
The goal of this project is to implement a Question Answering (QA) system that answers causal type questions. We use Wikipedia as a knowledge base, extracting answers to user questions from the articles.
ComplEx-NNE_AER
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
datasets_knowledge_embedding
Datasets for Knowledge Graph Completion with textual information about the entities
dbpedia-ontologies-mining
Mining DBpedia data by comparing a classification of pages using FCA with DBpedia categories, DBpedia Ontology and YAGO
dbpedia-spotlight
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
dl-models-for-qa
Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).
aarthiis's Repositories
aarthiis/AdaGram.jl
Adaptive Skip-gram implementation in Julia
aarthiis/AMUSE
A Multilingual Semantic Parsing Approach for QALD
aarthiis/Answering-Remedia-Courpus-using-Natural-Language-Processing
Question Answering on Remedia Corpus
aarthiis/bioasq
OAQA Biomedical Question Answering (BioASQ) System
aarthiis/causeofwhy
The goal of this project is to implement a Question Answering (QA) system that answers causal type questions. We use Wikipedia as a knowledge base, extracting answers to user questions from the articles.
aarthiis/ComplEx-NNE_AER
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
aarthiis/datasets_knowledge_embedding
Datasets for Knowledge Graph Completion with textual information about the entities
aarthiis/dbpedia-ontologies-mining
Mining DBpedia data by comparing a classification of pages using FCA with DBpedia categories, DBpedia Ontology and YAGO
aarthiis/dbpedia-spotlight
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
aarthiis/dl-models-for-qa
Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).
aarthiis/entity2vec
Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
aarthiis/Event-QA
Event-QA is a Dataset for answering complex Event-Centric questions over Knowledge Graphs (KGs). We target EventKG, a recently proposed Event-Centric KG. Event-QA benchmark contains 1000 semantic queries and the corresponding verbalisations. The queries are generated by random-walk sub-graph traversal. Here you find the code and technical specifications to generate the Dataset
aarthiis/interQuepy
The project draws information from more than one RTF datasets and answers simple queries and any combination of them expressed as a complicated user question.In order to achieve so, it extends Quepy https://github.com/machinalis/quepy
aarthiis/is_that_a_duplicate_quora_question
aarthiis/JasonParser
reader for qald dataset
aarthiis/maui
aarthiis/Museeqa
Multilingual Semantic Parsing Approach for Question Answering
aarthiis/NLIWOD
Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.
aarthiis/numerical_outlier_detection
This code in this repository implements the paper *Detecting Incorrect Numerical Data in DBpedia* by Dominik Wienand and Heiko Paulheim.
aarthiis/OntoQAS
A collection of samples for Question Answering System (QAS) to find out the structure of the question syntactically and semantically through doing NLP task.
aarthiis/pychatbot
several python approaches from different sources on creating chatbots
aarthiis/pywsd
Python Implementations of Word Sense Disambiguation (WSD) Technologies.
aarthiis/Qanary
Qanary a methodology to construct and share resources to build QA systems
aarthiis/quepy
A python framework to transform natural language questions to queries in a database query language.
aarthiis/Word-Sense-Disambiguation-by-learning-long-term-dependencies
Word sense disambiguation by using recurrent networks like Bidirectional LSTM