Manish Shrivastava

Named Entity Recognition for Hindi-English Code-Mixed Social Media Text

2018

Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a subtask of Information Extraction. The challenge of NER for tweets lies in the insufficient information …

BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering

2023

Open-domain question qnswering (OpenQA) involves a retriever for selecting relevant passages from large text corpora (e.g. Wikipedia) and a reading comprehension (RC) model for extracting answers from these retrieved passages. The retrieved passages are often …

Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text

2016

Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, Dipti M. Sharma. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.

Together we stand: Siamese Networks for Similar Question Retrieval

2016

Community Question Answering (cQA) services like Yahoo! Answers 1 , Baidu Zhidao 2 , Quora 3 , StackOverflow 4 etc. provide a platform for interaction with experts and help users to obtain precise and accurate …

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

2016 · International Conference on Computational Linguistics

Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area are impeded by the lack …