Papers by Nikhil Rasiwasia

3 papers
Improving Answer Selection and Answer Triggering using Hard Negatives (D19-1)

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Challenge: Existing approaches to answer selection and answer triggering have been proposed.
Approach: They propose to use hard negatives with a siamese network and a suitable loss function for answer selection and answer triggering.
Outcome: The proposed model improves on InsuranceQA, SelQA, and an internal QA dataset by 2.3 points over previous baselines.
LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes (2021.naacl-industry)

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Challenge: Existing methods for training numeric attributes are based on manual labeling and distant supervision leads to incomplete training annotations.
Approach: They propose a multi-task learning architecture to deal with missing attribute values in training data, removing dependency on manual annotations.
Outcome: The proposed framework improves on 20 numeric attributes extracted from 5 product categories and 3 english marketplaces with language-agnostic performance.
Distantly Supervised Transformers For E-Commerce Product QA (2021.naacl-main)

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Challenge: e-commerce services often provide an instant QA system on product pages . however, user queries and CQA pairs differ significantly in language characteristics .
Approach: They propose a transformer-based instant question answering system on product pages . for each user query, relevant community question answer (CQA) pairs are retrieved . their framework is able to scale to large e-commerce QA traffic .
Outcome: The proposed model outperforms syntactic and semantic baselines on user queries and training with CQA pairs.

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