Jansen, Peter, Smith, Kelly J., Moreno, Dan, and Ortiz, Huitzilin. On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings. Retrieved from https://par.nsf.gov/biblio/10318248. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Web. doi:10.18653/v1/2021.emnlp-main.596.

Jansen, Peter, Smith, Kelly J., Moreno, Dan, & Ortiz, Huitzilin. On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, (). Retrieved from https://par.nsf.gov/biblio/10318248. https://doi.org/10.18653/v1/2021.emnlp-main.596

Jansen, Peter, Smith, Kelly J., Moreno, Dan, and Ortiz, Huitzilin. "On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings". Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (). Country unknown/Code not available. https://doi.org/10.18653/v1/2021.emnlp-main.596. https://par.nsf.gov/biblio/10318248.

@article{osti_10318248,
place = {Country unknown/Code not available}, title = {On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings}, url = {https://par.nsf.gov/biblio/10318248}, DOI = {10.18653/v1/2021.emnlp-main.596}, abstractNote = {}, journal = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing}, author = {Jansen, Peter and Smith, Kelly J. and Moreno, Dan and Ortiz, Huitzilin}, }