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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).

entity2vec

Generates a set of property-specific entity embeddings from knowledge graphs using node2vec

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

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

is_that_a_duplicate_quora_question

jasonparser

reader for qald dataset

maui

museeqa

Multilingual Semantic Parsing Approach for Question Answering

nliwod

Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.

numerical_outlier_detection

This code in this repository implements the paper *Detecting Incorrect Numerical Data in DBpedia* by Dominik Wienand and Heiko Paulheim.

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.

pychatbot

several python approaches from different sources on creating chatbots

pywsd

Python Implementations of Word Sense Disambiguation (WSD) Technologies.

qanary

Qanary a methodology to construct and share resources to build QA systems

quepy

A python framework to transform natural language questions to queries in a database query language.

word-sense-disambiguation-by-learning-long-term-dependencies

Word sense disambiguation by using recurrent networks like Bidirectional LSTM