Reardon, Carley, Paik, Sejin, Gao, Ge, Meet, Parekh, Zhao, Yanling, Guo, Lei, Betke, Margrit, and Wijaya, Derry. NEmo: An Affective Dataset of Gun Violence News. Retrieved from https://par.nsf.gov/biblio/10494801. roceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) Palais du Pharo, Marseille, France, June 20-25, 2022 .

Reardon, Carley, Paik, Sejin, Gao, Ge, Meet, Parekh, Zhao, Yanling, Guo, Lei, Betke, Margrit, & Wijaya, Derry. NEmo: An Affective Dataset of Gun Violence News. roceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) Palais du Pharo, Marseille, France, June 20-25, 2022, (). Retrieved from https://par.nsf.gov/biblio/10494801.

Reardon, Carley, Paik, Sejin, Gao, Ge, Meet, Parekh, Zhao, Yanling, Guo, Lei, Betke, Margrit, and Wijaya, Derry. "NEmo: An Affective Dataset of Gun Violence News". roceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) Palais du Pharo, Marseille, France, June 20-25, 2022 (). Country unknown/Code not available: European Language Resources Association (ELRA). https://par.nsf.gov/biblio/10494801.

@article{osti_10494801,
place = {Country unknown/Code not available}, title = {NEmo: An Affective Dataset of Gun Violence News}, url = {https://par.nsf.gov/biblio/10494801}, abstractNote = {}, journal = {roceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) Palais du Pharo, Marseille, France, June 20-25, 2022}, publisher = {European Language Resources Association (ELRA)}, author = {Reardon, Carley and Paik, Sejin and Gao, Ge and Meet, Parekh and Zhao, Yanling and Guo, Lei and Betke, Margrit and Wijaya, Derry}, }