Papers by Victor Veitch
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond (2022.tacl-1)
Copied to clipboard
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
| Challenge: | causality has not had the same importance in natural language processing, says aaron e. smith . he says research on causality in NLP remains scattered across domains without unified definitions . |
| Approach: | They propose to consolidate research on causality in NLP across academic areas . they explore potential uses of causal inference to improve robustness, fairness, interpretability . |
| Outcome: | The proposed method is a unified overview of causal inference for the NLP community. |
Causal Effects of Linguistic Properties (2021.naacl-main)
Copied to clipboard
| Challenge: | Social scientists have long been interested in the causal effects of language, studying questions like: How should political candidates describe their personal history to appeal to voters? |
| Approach: | They propose an algorithm for estimating causal effects of linguistic properties that leverages distant supervision and a pre-trained language model to adjust for the text. |
| Outcome: | The proposed method outperforms other methods when estimating the effect of Amazon review sentiment on semi-simulated sales figures. |