Papers by Animesh Nighojkar
Improving Paraphrase Detection with the Adversarial Paraphrasing Task (2021.acl-long)
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| Challenge: | a new adversarial method of paraphrase identification is being used to identify paraphrases based on word overlap and syntax . authors propose a dataset that generates semantically equivalent but lexically and syntactically disparate paraphrase pairs . |
| Approach: | They propose an adversarial method for paraphrase identification that uses word overlap and syntax to identify paraphrases. |
| Outcome: | The proposed method improves paraphrase detection accuracy and speed of generation of datasets. |
Can Transformer Language Models Predict Psychometric Properties? (2021.starsem-1)
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| Challenge: | Transformer-based language models (LMs) are gaining popularity on many NLP benchmark tasks. |
| Approach: | They use human responses to calculate psychometric properties of test items . they find transformer-based LMs predict psychometric property consistently well . |
| Outcome: | The transformer-based language models are able to predict psychometric properties of test items . the models can predict psychometries well in certain categories but poorly in others . |