Papers by Geeticka Chauhan
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact (2021.findings-acl)
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| Challenge: | Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. |
| Approach: | They propose a moral philosophy definition of social good and a framework to evaluate the direct and indirect real-world impact of NLP tasks. |
| Outcome: | The proposed framework evaluates the direct and indirect real-world impact of NLP tasks and adopts the methodology of global priorities research to identify priority causes for NLP research. |
A New Approach to Animacy Detection (C18-1)
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| Challenge: | Animacy is a property for a referent to be an agent, and prior work has classified words as either animate or inanimate. |
| Approach: | They propose a method that uses supervised machine learning and hand-built rules to classify the animacy of co-reference chains. |
| Outcome: | The proposed method achieves state-of-the-art performance on a 142-text dataset . it leverages word embeddings over referring expressions, parts of speech, and grammatical and semantic roles . |