133 Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German Grammar S Falke 2019 springer 134 Alime kbqa: Question answering over structured knowledge for e-commerce customer service FL Li, W Chen, Q Huang, Y Guo 2019 springer 135 BB-KBQA: BE...
Using Code or HTML You do not need to use papers -- you can use code or raw HTML. Note that this tool is focused on answering questions, so it won't do well at writing code. One note is that the tool cannot infer citations from code, so you will need to provide them yourself....
questions array of string List of questions associated with the answer. answer answer string Answer text. Confidence Threshold confidenceScore float Answer confidence score, value ranges from 0 to 1. QnA ID id integer ID of the QnA result. source source string Source of QnA result. metadata...
Behavioral interview questions, such as: How do you handle stress and pressure at work? can be difficult, even for very experienced job applicants. Use the tips below to narrate how you handle stressful situations: 1. Describe a Stressful Situation You’ve Encountered Use the STAR method to pr...
An alternative to answer complex questions including multiple sentences, is to separate the matching of grammatical sequences, i.e., the sentences, from the ungrammatical sequences, i.e., the structure of the grammatical sequences, by following linguistic analysis paradigm of Noam Chomsky. This ...
The Bears are assuredly about to hand Mack a blank check, while the trade suggests that the Raiders' checkbook might be under lock and key. So many questions came to mind as I tried to figure out this swap. Let's go through them and see what we can figure out about the...
Common Questions About Kalanchoe BlossfeldianaThis is my latest Flowering Kalanchoe. I bought it with the majority of the buds closed because the flowering period will last longer. I like to have a couple of the flowers open so I make sure I get the color that I want. ...
Systems for electronic text developed so far have tackled the questions of seeking simple facts by using "who", "what", "which", "when" and "where". Questions using "why" and "how" generally require much longer and complicated answers and thus their processing is still an open prob- ...
python text_parsing.py --type multimodal --benchmark_path questions.json --output_file multimodal_representations.json To conduct inverse inference about the agent's goal and belief using (finetuned) language models (taking LLaMA 2 as an example): ...
wget https://s3-us-west-1.amazonaws.com/clevr/CLEVR_v1.0.zip unzip CLEVR_v1.0 mkdir -p data/clevr/annotations cd data/clevr/annotations ln -s /path/to/CLEVR_v1.0/questions/CLEVR_train_questions.json train.json ln -s /path/to/CLEVR_v1.0/questions/CLEVR_val_questions.json val.json cd...