{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/document-understanding/papers/4","list_of":"/task/document-understanding","task":"document understanding","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":4,"pages_in_order":4,"rows_per_page":100,"rows":[301,309],"of":309,"counts":{"archive_papers_tagged":309,"with_a_code_link":140,"where_syntology_ran_a_sample":39,"not_listed_spam_title":0,"listed":309,"listed_where_code_ran":39,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":30,"every_run_a_failure_of_syntologys_instrument":9,"listed_with_a_run_with_no_instrument_failure":30,"listed_every_run_a_failure_of_syntologys_instrument":9,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/document-understanding","prev":"/task/document-understanding/papers/3","next":null,"papers":[{"url":null,"slug":"doc2im-document-to-image-conversion-through","title":"Doc2Im: document to image conversion through self-attentive embedding","date":"2018-11-08","arxiv_id":"1811.03291","repositories_listed":0,"syntology":null},{"url":null,"slug":"calculating-semantic-similarity-between","title":"Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology","date":"2017-11-30","arxiv_id":"1711.11508","repositories_listed":0,"syntology":null},{"url":null,"slug":"keyvec-key-semantics-preserving-document","title":"KeyVec: Key-semantics Preserving Document Representations","date":"2017-09-27","arxiv_id":"1709.09749","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-oriented-neural-programming-oonp-for","title":"Object-oriented Neural Programming (OONP) for Document Understanding","date":"2017-09-26","arxiv_id":"1709.08853","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-structured-learning-and-predictions","title":"Joint Structured Learning and Predictions under Logical Constraints in Conditional Random Fields","date":"2017-08-25","arxiv_id":"1708.07644","repositories_listed":0,"syntology":null},{"url":null,"slug":"extract-with-order-for-coherent-multi","title":"Extract with Order for Coherent Multi-Document Summarization","date":"2017-06-12","arxiv_id":"1706.06542","repositories_listed":0,"syntology":null},{"url":null,"slug":"enumeration-of-extractive-oracle-summaries","title":"Enumeration of Extractive Oracle Summaries","date":"2017-01-06","arxiv_id":"1701.01614","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-entity-linking-to-question-answering-a","title":"From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-encodeurs-pour-la-compr-ehension-de","title":"Auto-encodeurs pour la compr\\'ehension de documents parl\\'es (Auto-encoders for Spoken Document Understanding)","date":"2016-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"9afd77c16b7255bf6a40f211c9a51849da3df92623bd9231aad64d3ede1cad4a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}