Papers by Javed Aslam

2 papers
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction (N19-1)

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Challenge: Existing approaches to multi-label classification are based on pre-specifying the label order, or relating the sequence probability to the set probability in ad hoc ways.
Approach: They propose a new training objective that maximizes this set probability and a prediction objective that finds the most probable set on a test document.
Outcome: The proposed model outperforms existing methods on a set of labels for multi-label classification . the proposed model is based on 'set probability' and 'prediction objective'
Improving Query Graph Generation for Complex Question Answering over Knowledge Base (2021.emnlp-main)

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Challenge: Existing Knowledge-based Question Answering methods use a query graph to find the answer to a question.
Approach: They propose a method that starts with the entire knowledge base and gradually shrinks it to the desired query graph.
Outcome: Experimental results show that the proposed method achieves state-of-the-art performance on ComplexWebQuestion dataset.

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