Search Results for author: Vijit Malik

Found 7 papers, 6 papers with code

Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection

1 code implementation14 Dec 2021 Ayush Kumar, Vijit Malik, Jithendra Vepa

Our method achieves state-of-the-art results on 1-shot and 5-shot intent detection task with gains ranging from 2-8\% points in F1 score on four benchmark datasets.

Few-Shot Learning Generalized Few-Shot Learning +5

Semantic Segmentation of Legal Documents via Rhetorical Roles

1 code implementation3 Dec 2021 Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Nigam, Arnab Bhattacharya, Ashutosh Modi

For automatically segmenting the legal documents, we experiment with the task of rhetorical role prediction: given a document, predict the text segments corresponding to various roles.

Semantic Segmentation

BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables

no code implementations SEMEVAL 2021 Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi

There are two subtasks, in which given a table and a statement/fact, the subtask A is to determine whether the statement is inferred from the tabular data and the subtask B is to determine which cells in the table provide evidence for the former subtask.

Fact Verification Natural Language Inference

BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables

1 code implementation7 Apr 2021 Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi

Given a table and a statement/fact, subtask A determines whether the statement is inferred from the tabular data, and subtask B determines which cells in the table provide evidence for the former subtask.

Fact Verification Natural Language Inference

Adv-OLM: Generating Textual Adversaries via OLM

1 code implementation EACL 2021 Vijit Malik, Ashwani Bhat, Ashutosh Modi

Analysis of these attacks on the state of the art transformers in NLP can help improve the robustness of these models against such adversarial inputs.

Sentence text-classification +1

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