{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/measuring-semantic-coherence-of-a","title":"Measuring Semantic Coherence of a Conversation","arxiv_id":"1806.06411","date":"2018-06-17","proceeding":null,"authors":["Svitlana Vakulenko","Maarten de Rijke","Michael Cochez","Vadim Savenkov","Axel Polleres"],"abstract":"Conversational systems have become increasingly popular as a way for humans\nto interact with computers. To be able to provide intelligent responses,\nconversational systems must correctly model the structure and semantics of a\nconversation. We introduce the task of measuring semantic (in)coherence in a\nconversation with respect to background knowledge, which relies on the\nidentification of semantic relations between concepts introduced during a\nconversation. We propose and evaluate graph-based and machine learning-based\napproaches for measuring semantic coherence using knowledge graphs, their\nvector space embeddings and word embedding models, as sources of background\nknowledge. We demonstrate how these approaches are able to uncover different\ncoherence patterns in conversations on the Ubuntu Dialogue Corpus.","url_abs":"http://arxiv.org/abs/1806.06411v1","url_pdf":"http://arxiv.org/pdf/1806.06411v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"measuring-semantic-coherence-of-a","repo_url":"https://github.com/vendi12/semantic_coherence","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"measuring-semantic-coherence-of-a","repo_url":"https://github.com/svakulenk0/semantic_coherence","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1806.06411","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}