publication . Contribution for newspaper or weekly magazine . 2017

Latent Space Embedding for Retrieval in Question-Answer Archives

Padmanabhan, Deepak; Garg, Dinesh; Shevade, Shirish;
Open Access English
  • Published: 01 Sep 2017
Abstract
Community-driven Question Answering (CQA) systems such as Yahoo! Answers have become valuable sources of reusable information. CQA retrieval enables usage of historical CQA archives to solve new questions posed by users. This task has received much recent attention, with methods building upon literature from translation models, topic models, and deep learning. In this paper, we devise a CQA retrieval technique, LASER-QA, that embeds question-answer pairs within a unified latent space preserving the local neighborhood structure of question and answer spaces. The idea is that such a space mirrors semantic similarity among questions as well as answers, thereby enab...
Subjects
acm: InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
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Contribution for newspaper or weekly magazine . 2017
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