Papers by Payal Khullar
Automatic Question Generation using Relative Pronouns and Adverbs (P18-3)
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| Challenge: | Automatic Question Generation is a system that generates multiple, natural language questions using relative pronouns and relative adverbs from complex English sentences. |
| Approach: | They propose a system that automatically generates multiple, natural language questions using relative pronouns and relative adverbs from complex English sentences. |
| Outcome: | The proposed system generates multiple, natural language questions using relative pronouns and relative adverbs from complex English sentences. |
Exploring Statistical and Neural Models for Noun Ellipsis Detection and Resolution in English (2020.aacl-srw)
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| Challenge: | Existing approaches to noun ellipsis resolution have been sparse, using syntactic feature constraints for marking licensors and selecting their antecedents. |
| Approach: | They propose to use supervised machine learning to improve the existing F1 score by 16.55% and resolution by 14.97% for noun ellipsis subtasks. |
| Outcome: | The proposed framework improves the existing F1 score by 16.55% and the resolution subtask by 14.97%. |
Why Find the Right One? (2021.eacl-srw)
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| Challenge: | a new study investigates the impact of anaphoric one words in English on the neural machine translation process. |
| Approach: | They investigate the impact of anaphoric one words in English on the Neural Machine Translation process using English-Hindi as source and target language pair. |
| Outcome: | The proposed system performs poorly on sentences containing anaphoric ones compared to sentences involving regular, non-anaphorical ones . the results show that amongst the anamorphic words, the noun class is clearly much harder for NMT than the determinatives . |
NoEl: An Annotated Corpus for Noun Ellipsis in English (2020.lrec-1)
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| Challenge: | Ellipsis resolution is an important step to improve the accuracy of mainstream natural language processing tasks such as information retrieval, event extraction, dialog systems, etc. |
| Approach: | They extend the study of ellipsis by annotating a corpus for noun ellippsis and closely related phenomenon using the first hundred movies of Cornell Movie Dialogs Dataset. |
| Outcome: | The proposed corpus has 946 instances of exophoric and endophorical noun ellipsis, making it the biggest resource of nouns in English, to the best of our knowledge. |