{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:45:59Z","timestamp":1761061559104},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,22]]},"abstract":"<jats:p>This chapter illustrates how suitable neuro-symbolic models for language understanding can enable domain generalizability and robustness in downstream tasks. Different methods for integrating neural language models and knowledge graphs are discussed. The situations in which this combination is most appropriate are characterized, including quantitative evaluation and qualitative error analysis on a variety of commonsense question answering benchmark datasets.<\/jats:p>","DOI":"10.3233\/faia210360","type":"book-chapter","created":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T10:44:04Z","timestamp":1641206644000},"source":"Crossref","is-referenced-by-count":5,"title":["Chapter 13. Generalizable Neuro-Symbolic Systems for Commonsense Question Answering"],"prefix":"10.3233","author":[{"given":"Alessandro","family":"Oltramari","sequence":"first","affiliation":[{"name":"Bosch Research (Pittsburgh, PA USA)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Francis","sequence":"additional","affiliation":[{"name":"Bosch Research (Pittsburgh, PA USA)"},{"name":"School of Computer Science, Carnegie Mellon University (Pittsburgh, PA USA)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Filip","family":"Ilievski","sequence":"additional","affiliation":[{"name":"Information Sciences Institute, Viterbi School of Engineering, University of Southern California (Marina del Rey, CA USA)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaixin","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer Science, Carnegie Mellon University (Pittsburgh, PA USA)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roshanak","family":"Mirzaee","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Michigan State University (East Lansing, MI USA)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Neuro-Symbolic Artificial Intelligence: The State of the Art"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T10:44:05Z","timestamp":1641206645000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210360"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,22]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210360","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,22]]}}}