Papers by Sameera Lanka
Studying word order through iterative shuffling (2021.emnlp-main)
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| Challenge: | Recent work on large language models has made this hypothesis popular . but, word order is not important enough to make sentence structure relevant . |
| Approach: | They propose an efficient procedure that finds word order having highest likelihood under a fixed language model. |
| Outcome: | The proposed procedure can be used to find the ordering of a bag of words having the highest likelihood under a fixed language model. |
GPT Perdetry Test: Generating new meanings for new words (2021.naacl-main)
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| Challenge: | We create a set of nonce words and prompt GPT-3 to generate their dictionary definitions. |
| Approach: | They create a set of nonce words and prompt GPT-3 to generate their dictionary definitions. |
| Outcome: | The proposed model can process new words and make them 'neologisms' . it can also adapt to and extend a changing vocabulary, the authors found . |