Papers by Sanasam Ranbir Singh
Detecting Incongruent News Articles Using Multi-head Attention Dual Summarization (2022.aacl-main)
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| Challenge: | Recent studies on incongruity detection focus on estimating the similarity between the headline and the encoding of the body or its summary but most of these methods fail to handle inconvenient news articles created with embedded noise. |
| Approach: | They propose a method which generates two types of summaries that capture the congruent and incongruent parts in the body separately. |
| Outcome: | The proposed method outperforms the state-of-the-art methods over three publicly available datasets. |
Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding (2020.emnlp-main)
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| Challenge: | Existing methods to handle sentiment analysis of tweets are inadequate due to various characteristics such as under-specificity, noise, and multilingual content. |
| Approach: | They propose a multi-layer network-based representation of tweets to generate multiple representations of a tweet and classify them using a neural-based early fusion approach. |
| Outcome: | The proposed method can address the problem of under-specificity, noisy text, and multilingual content present in a tweet and provides better representations than the text-based counterparts. |