The meaning of ANSWER is something spoken or written in reply to a question. How to use answer in a sentence. Synonym Discussion of Answer.
In this paper, we propose a simple yet effective method to first retrieve the most relevant triplets from KGs and then rerank them, which are then concatenated with questions to be fed into language models. Extensive results on both CommonsenseQA and OpenbookQA datasets show that our method ...
which often check whether the answer is of the correct semantic type. Particular classes of questions expect specific answer types to which all of their answers should belong. We compare two kinds of strategies for answer type checking for open domain QA. One is redundancy-based and builds on ...
Answering clinical questions gives raise to numerous challenges among wich term ambiguity and relevane estimation based on the distribution of the query facets in the documents. The contributions of this work include (1) a new algorithm for query refinement based on the semantic mapping of each ...
Previous approaches have natural limits due to their representations: rule based approaches only understand a small set of "canned" questions, while keyword based or synonym based approaches cannot fully understand the questions. In this paper, we design a new kind of question representation: ...
type questions are completely correct, as shown in table 8 . table 8 the experimental results of the proposed bpi-mvqa on the vqa-rad dataset full size table we set different epochs according to different convergence rates, and we use the cross-entropy function as our loss function. fig...
curl -X PATCH -H "Ocp-Apim-Subscription-Key: {API-KEY}" -H "Content-Type: application/json" -d '[ { "op": "add", "value":{ "id": 1, "answer": "The latest question answering docs are on https://learn.microsoft.com", "source": "source5", "questions": [ "Where do ...
(SVM) to classify questions based on feature sets, using either surface text features (e.g., by treating the question as a bag of words or n-grams), or more semantic features (e.g., identifying named entities). SVMs with both surface text features and ...
in the spirit of our approach to list questions, boosts candidate answers which are hyponyms of the question focus. Finally, we rank answers using a combination of Web-based and corpus- based prominence rather than using only the top Web-based answer. ...
We also identify synonym relations using word embedding, and detect negation patterns from the articles. Our heuristic selection of attributes is used to build an SVM model, which provides the basis for ranking a decision on the yes/no questions. Experimental evaluation show that our method ...