APIBot: question answering bot for API documentation. Communication.
WebKnox Question-Answering API - How To Q&A Language , Search Begun as a research project from the Royal Melbourne Institute of Technology and the University of Technology Dresden, WebKnox is an ontology-driven fact extraction engine built to provide direct, fast, and complete answers to questions on any topic a user can think of. The WebKnox question-answering API allows you to find answers to natural language questions. Ask the API Provider. Haystack — Neural Question Answering At Scale Introduction. These questions can be factual such as "What is the capital of Australia" or more complex. The WebKnox Question-Answering API allows applications to find answers to natural language questions. WebKnox Question-Answering API - Libraries. keras-question-and-answering-web-api.

Two different ways to merge the paragraph context and the question as the input of the encoder; Two different encoding for the input of the encoder (one hot encoding and GloVe word2vec encoding) However, there is currently no cross-task dataset in NLP, which hinders the development of multi-task learning. Updated 4 months ago. The API supports one endpoint for simple factual questions and another for more complex questions. It is also a valuable information resource for answering API-related questions, ... We evaluate APIBot on 92 API questions, answers of which are known to be present in Java 8 documentation. We propose MATINF, the first jointly labeled large-scale dataset for classification, question answering and summarization. Pages 153–158. The performance of modern Question Answering Models (BERT, ALBERT ...) has seen drastic improvements within the last year enabling many new opportunities for accessing information more efficiently. Free to use, user-contributed trivia question database. Have a question about this API? FREEMIUM.

Q&A Language, Search Language, Search

This project explores.

3,706 Verified Questions and 4,029 Pending Questions BROWSE ADD NEW QUESTIONS Resources, datasets, papers on Question Answering. Our experiment shows that … Contribute to dapurv5/awesome-question-answering development by creating an account on GitHub. Question answering system developed using seq2seq and memory network model in Keras. Question Answering for Node.js. Find a plan that best matches the … Production-ready Question Answering directly in Node.js, with only 3 lines of code! Yahoo Weather API JavaScript Source Code Facebook API Timeline Post- PHP Source Code Google Maps API JavaScript Get Local Search Results from Google Source Code Question-Answering. Choose the Right Plan For You RapidAPI partners directly with API providers to give you no-fuss, transparent pricing. Recently, large-scale datasets have vastly facilitated the development in nearly all domains of Natural Language Processing. By webknox.

However, those models are designed to find answers within rather small text passages.
It then uses TensorFlow.js to run the DistilBERT-cased model fine-tuned for Question Answering (87.1 F1 score on SQuAD v1.1 dev set, compared to 88.7 for BERT-base-cased). About Discussions Pricing. This package leverages the power of the tokenizers library (built with Rust) to process the input text.


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