Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jon Borchardt, Daniel S. Weld, Tom Hope, and Doug Downey. ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. Retrieved from https://par.nsf.gov/biblio/10377129. 2022 Conference on Empirical Methods in Natural Language Processing .

Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jon Borchardt, Daniel S. Weld, Tom Hope, & Doug Downey. ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. 2022 Conference on Empirical Methods in Natural Language Processing, (). Retrieved from https://par.nsf.gov/biblio/10377129.

Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jon Borchardt, Daniel S. Weld, Tom Hope, and Doug Downey. "ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts". 2022 Conference on Empirical Methods in Natural Language Processing (). Country unknown/Code not available. https://par.nsf.gov/biblio/10377129.

@article{osti_10377129,
place = {Country unknown/Code not available}, title = {ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts}, url = {https://par.nsf.gov/biblio/10377129}, abstractNote = {}, journal = {2022 Conference on Empirical Methods in Natural Language Processing}, author = {Sonia K. Murthy and Kyle Lo and Daniel King and Chandra Bhagavatula and Bailey Kuehl and Sophie Johnson and Jon Borchardt and Daniel S. Weld and Tom Hope and Doug Downey}, }