{"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/generating-more-interesting-responses-in","title":"Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints","arxiv_id":"1809.01215","date":"2018-09-04","proceeding":"EMNLP 2018 10","authors":["Ashutosh Baheti","Alan Ritter","Jiwei Li","Bill Dolan"],"abstract":"Neural conversation models tend to generate safe, generic responses for most\ninputs. This is due to the limitations of likelihood-based decoding objectives\nin generation tasks with diverse outputs, such as conversation. To address this\nchallenge, we propose a simple yet effective approach for incorporating side\ninformation in the form of distributional constraints over the generated\nresponses. We propose two constraints that help generate more content rich\nresponses that are based on a model of syntax and topics (Griffiths et al.,\n2005) and semantic similarity (Arora et al., 2016). We evaluate our approach\nagainst a variety of competitive baselines, using both automatic metrics and\nhuman judgments, showing that our proposed approach generates responses that\nare much less generic without sacrificing plausibility. A working demo of our\ncode can be found at https://github.com/abaheti95/DC-NeuralConversation.","url_abs":"http://arxiv.org/abs/1809.01215v1","url_pdf":"http://arxiv.org/pdf/1809.01215v1.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":"generating-more-interesting-responses-in","repo_url":"https://github.com/abaheti95/DC-NeuralConversation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"generating-more-interesting-responses-in","repo_url":"https://github.com/felicienveldema/IR2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"semantic-similarity","task_name":"Semantic Similarity"},{"task_slug":"semantic-textual-similarity","task_name":"Semantic Textual Similarity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1809.01215","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.01215"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/felicienveldema/IR2","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/abaheti95/DC-NeuralConversation","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_draft_wrong":1},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"5bb09bfd789e6f33","entry":"get_sent_string_from_indices","repo":"abaheti95/DC-NeuralConversation","repo_kind":"official","path":"translate.py","file_url":"https://github.com/abaheti95/DC-NeuralConversation/blob/HEAD/translate.py","link_basis":"plan_row","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5bb09bfd789e6f33"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}