Search Results for author: Mrinal Dhar

Found 3 papers, 0 papers with code

De-Mixing Sentiment from Code-Mixed Text

no code implementations ACL 2019 Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn

The Collective Encoder captures the overall sentiment of the sentence, while the Specific Encoder utilizes an attention mechanism in order to focus on individual sentiment-bearing sub-words.

Sentence Sentiment Analysis +1

SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection

no code implementations2 Aug 2018 Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma

We generate sub-word level embeddings of the title using Convolutional Neural Networks and use them to train a bidirectional LSTM architecture.

Clickbait Detection Document Embedding +1

Enabling Code-Mixed Translation: Parallel Corpus Creation and MT Augmentation Approach

no code implementations COLING 2018 Mrinal Dhar, Vaibhav Kumar, Manish Shrivastava

With the help of the created parallel corpus, we analyzed the structure of English-Hindi code-mixed data and present a technique to augment run-of-the-mill machine translation (MT) approaches that can help achieve superior translations without the need for specially designed translation systems.

Machine Translation Sentence +1

Cannot find the paper you are looking for? You can Submit a new open access paper.