{"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/articles/papers/7","list_of":"/task/articles","task":"Articles","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":7,"pages_in_order":41,"rows_per_page":100,"rows":[601,700],"of":4012,"counts":{"archive_papers_tagged":4012,"with_a_code_link":1123,"where_syntology_ran_a_sample":126,"not_listed_spam_title":0,"listed":4012,"listed_where_code_ran":126,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":107,"every_run_a_failure_of_syntologys_instrument":19,"listed_with_a_run_with_no_instrument_failure":107,"listed_every_run_a_failure_of_syntologys_instrument":19,"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/articles","prev":"/task/articles/papers/6","next":"/task/articles/papers/8","papers":[{"url":"/paper/medjex-a-medical-jargon-extraction-model-with","slug":"medjex-a-medical-jargon-extraction-model-with","title":"MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score","date":"2022-10-12","arxiv_id":"2210.05875","repositories_listed":1,"syntology":null},{"url":"/paper/noise-robust-de-duplication-at-scale","slug":"noise-robust-de-duplication-at-scale","title":"Noise-Robust De-Duplication at Scale","date":"2022-10-09","arxiv_id":"2210.04261","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/noise-robust-de-duplication-at-scale#ran","syntology_url":"https://syntology.ai/paper/2210.04261","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.04261"}},"official":{"repos":["dell-research-harvard/NEWS-COPY"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/named-entity-recognition-in-twitter-a-dataset","slug":"named-entity-recognition-in-twitter-a-dataset","title":"Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts","date":"2022-10-07","arxiv_id":"2210.03797","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/named-entity-recognition-in-twitter-a-dataset#ran","syntology_url":"https://syntology.ai/paper/2210.03797","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.03797"}},"official":{"repos":["asahi417/tner"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/detecting-narrative-elements-in-informational-1","slug":"detecting-narrative-elements-in-informational-1","title":"Detecting Narrative Elements in Informational Text","date":"2022-10-06","arxiv_id":"2210.03028","repositories_listed":1,"syntology":null},{"url":"/paper/domain-specific-word-embeddings-with","slug":"domain-specific-word-embeddings-with","title":"Domain-Specific Word Embeddings with Structure Prediction","date":"2022-10-06","arxiv_id":"2210.04962","repositories_listed":1,"syntology":null},{"url":"/paper/a-japanese-masked-language-model-for-academic","slug":"a-japanese-masked-language-model-for-academic","title":"A Japanese Masked Language Model for Academic Domain","date":"2022-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/close-contrastive-learning-of-subframe","slug":"close-contrastive-learning-of-subframe","title":"CLoSE: Contrastive Learning of Subframe Embeddings for Political Bias Classification of News Media","date":"2022-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/neural-media-bias-detection-using-distant-1","slug":"neural-media-bias-detection-using-distant-1","title":"Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts","date":"2022-09-29","arxiv_id":"2209.14557","repositories_listed":1,"syntology":null},{"url":"/paper/a-general-purpose-material-property-data","slug":"a-general-purpose-material-property-data","title":"A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing","date":"2022-09-27","arxiv_id":"2209.13136","repositories_listed":1,"syntology":null},{"url":"/paper/wikides-a-wikipedia-based-dataset-for","slug":"wikides-a-wikipedia-based-dataset-for","title":"WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs","date":"2022-09-27","arxiv_id":"2209.13101","repositories_listed":1,"syntology":null},{"url":"/paper/register-variation-remains-stable-across-60","slug":"register-variation-remains-stable-across-60","title":"Register Variation Remains Stable Across 60 Languages","date":"2022-09-20","arxiv_id":"2209.09813","repositories_listed":1,"syntology":null},{"url":"/paper/dynamic-global-memory-for-document-level-1","slug":"dynamic-global-memory-for-document-level-1","title":"Dynamic Global Memory for Document-level Argument Extraction","date":"2022-09-18","arxiv_id":"2209.08679","repositories_listed":1,"syntology":null},{"url":"/paper/how-can-voting-mechanisms-improve-the","slug":"how-can-voting-mechanisms-improve-the","title":"How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?","date":"2022-09-17","arxiv_id":"2209.08286","repositories_listed":1,"syntology":null},{"url":"/paper/news-headlines-dataset-for-sarcasm-detection","slug":"news-headlines-dataset-for-sarcasm-detection","title":"News Headlines Dataset For Sarcasm Detection","date":"2022-09-17","arxiv_id":"2212.06035","repositories_listed":1,"syntology":null},{"url":"/paper/evons-a-dataset-for-fake-and-real-news-1","slug":"evons-a-dataset-for-fake-and-real-news-1","title":"Evons: A Dataset for Fake and Real News Virality Analysis and Prediction","date":"2022-09-16","arxiv_id":"2209.08129","repositories_listed":1,"syntology":null},{"url":"/paper/automatic-comment-generation-via-multi-pass","slug":"automatic-comment-generation-via-multi-pass","title":"Automatic Comment Generation via Multi-Pass Deliberation","date":"2022-09-14","arxiv_id":"2209.06634","repositories_listed":1,"syntology":null},{"url":"/paper/large-scale-evaluation-of-transformer-based","slug":"large-scale-evaluation-of-transformer-based","title":"Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation","date":"2022-09-12","arxiv_id":"2209.05452","repositories_listed":1,"syntology":null},{"url":"/paper/diffusion-models-in-vision-a-survey","slug":"diffusion-models-in-vision-a-survey","title":"Diffusion Models in Vision: A Survey","date":"2022-09-10","arxiv_id":"2209.04747","repositories_listed":1,"syntology":null},{"url":"/paper/find-the-funding-entity-linking-with","slug":"find-the-funding-entity-linking-with","title":"Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases","date":"2022-09-01","arxiv_id":"2209.00351","repositories_listed":1,"syntology":null},{"url":"/paper/cross-lingual-transfer-learning-for-fake-news","slug":"cross-lingual-transfer-learning-for-fake-news","title":"Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language","date":"2022-08-26","arxiv_id":"2208.12482","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-based-approaches-for-automatic","slug":"deep-learning-based-approaches-for-automatic","title":"Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2","date":"2022-08-25","arxiv_id":"2208.11867","repositories_listed":1,"syntology":null},{"url":"/paper/which-factors-drive-open-access-publishing-a","slug":"which-factors-drive-open-access-publishing-a","title":"Which Factors are associated with Open Access Publishing? A Springer Nature Case Study","date":"2022-08-17","arxiv_id":"2208.08221","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-long-text-understanding-with-short","slug":"efficient-long-text-understanding-with-short","title":"Efficient Long-Text Understanding with Short-Text Models","date":"2022-08-01","arxiv_id":"2208.00748","repositories_listed":1,"syntology":null},{"url":"/paper/phemeplus-enriching-social-media-rumour-1","slug":"phemeplus-enriching-social-media-rumour-1","title":"PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence","date":"2022-07-28","arxiv_id":"2207.13970","repositories_listed":1,"syntology":null},{"url":"/paper/hansel-a-chinese-few-shot-and-zero-shot-1","slug":"hansel-a-chinese-few-shot-and-zero-shot-1","title":"Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark","date":"2022-07-26","arxiv_id":"2207.13005","repositories_listed":1,"syntology":null},{"url":"/paper/newsstories-illustrating-articles-with-visual","slug":"newsstories-illustrating-articles-with-visual","title":"NewsStories: Illustrating articles with visual summaries","date":"2022-07-26","arxiv_id":"2207.13061","repositories_listed":1,"syntology":null},{"url":"/paper/viquae-a-dataset-for-knowledge-based-visual-1","slug":"viquae-a-dataset-for-knowledge-based-visual-1","title":"ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities","date":"2022-07-11","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/an-approach-to-ensure-fairness-in-news","slug":"an-approach-to-ensure-fairness-in-news","title":"An Approach to Ensure Fairness in News Articles","date":"2022-07-08","arxiv_id":"2207.03938","repositories_listed":1,"syntology":null},{"url":"/paper/improving-wikipedia-verifiability-with-ai","slug":"improving-wikipedia-verifiability-with-ai","title":"Improving Wikipedia Verifiability with AI","date":"2022-07-08","arxiv_id":"2207.06220","repositories_listed":1,"syntology":null},{"url":"/paper/lessons-from-deep-learning-applied-to","slug":"lessons-from-deep-learning-applied-to","title":"Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions","date":"2022-07-08","arxiv_id":"2207.04029","repositories_listed":1,"syntology":null},{"url":"/paper/an-empirical-survey-on-long-document","slug":"an-empirical-survey-on-long-document","title":"An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics","date":"2022-07-03","arxiv_id":"2207.00939","repositories_listed":1,"syntology":null},{"url":"/paper/discomat-distantly-supervised-composition","slug":"discomat-distantly-supervised-composition","title":"DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles","date":"2022-07-03","arxiv_id":"2207.01079","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/discomat-distantly-supervised-composition#ran","syntology_url":"https://syntology.ai/paper/2207.01079","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.01079"}},"official":{"repos":["m3rg-iitd/discomat"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/chemical-identification-and-indexing-in-1","slug":"chemical-identification-and-indexing-in-1","title":"Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/cross-document-misinformation-detection-based-1","slug":"cross-document-misinformation-detection-based-1","title":"Cross-document Misinformation Detection based on Event Graph Reasoning","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/embeddia-at-semeval-2022-task-8-investigating","slug":"embeddia-at-semeval-2022-task-8-investigating","title":"EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/newsedits-a-news-article-revision-dataset-and-1","slug":"newsedits-a-news-article-revision-dataset-and-1","title":"NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/oversampledml-at-semeval-2022-task-8-when","slug":"oversampledml-at-semeval-2022-task-8-when","title":"OversampledML at SemEval-2022 Task 8: When multilingual news similarity met Zero-shot approaches","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/political-ideology-and-polarization-a-multi","slug":"political-ideology-and-polarization-a-multi","title":"Political Ideology and Polarization: A Multi-dimensional Approach","date":"2022-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/long-range-language-modeling-via-gated-state","slug":"long-range-language-modeling-via-gated-state","title":"Long Range Language Modeling via Gated State Spaces","date":"2022-06-27","arxiv_id":"2206.13947","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/long-range-language-modeling-via-gated-state#ran","syntology_url":"https://syntology.ai/paper/2206.13947","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2206.13947"}},"official":null}},{"url":"/paper/fair-ranking-as-fair-division-impact-based","slug":"fair-ranking-as-fair-division-impact-based","title":"Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking","date":"2022-06-15","arxiv_id":"2206.07247","repositories_listed":1,"syntology":null},{"url":"/paper/newsedits-a-news-article-revision-dataset-and","slug":"newsedits-a-news-article-revision-dataset-and","title":"NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge","date":"2022-06-14","arxiv_id":"2206.07106","repositories_listed":1,"syntology":null},{"url":"/paper/ask-to-know-more-generating-counterfactual","slug":"ask-to-know-more-generating-counterfactual","title":"Ask to Know More: Generating Counterfactual Explanations for Fake Claims","date":"2022-06-10","arxiv_id":"2206.04869","repositories_listed":1,"syntology":null},{"url":"/paper/putting-gpt-3-s-creativity-to-the-alternative","slug":"putting-gpt-3-s-creativity-to-the-alternative","title":"Putting GPT-3's Creativity to the (Alternative Uses) Test","date":"2022-06-10","arxiv_id":"2206.08932","repositories_listed":1,"syntology":null},{"url":"/paper/abstraction-not-memory-bert-and-the-english","slug":"abstraction-not-memory-bert-and-the-english","title":"Abstraction not Memory: BERT and the English Article System","date":"2022-06-08","arxiv_id":"2206.04184","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-key-event-detection-from-massive","slug":"unsupervised-key-event-detection-from-massive","title":"Unsupervised Key Event Detection from Massive Text Corpora","date":"2022-06-08","arxiv_id":"2206.04153","repositories_listed":1,"syntology":null},{"url":"/paper/researching-alignment-research-unsupervised","slug":"researching-alignment-research-unsupervised","title":"Researching Alignment Research: Unsupervised Analysis","date":"2022-06-06","arxiv_id":"2206.02841","repositories_listed":1,"syntology":null},{"url":"/paper/an-unsupervised-approach-to-discover-media","slug":"an-unsupervised-approach-to-discover-media","title":"An Unsupervised Approach to Discover Media Frames","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/annotating-arguments-in-a-corpus-of-opinion","slug":"annotating-arguments-in-a-corpus-of-opinion","title":"Annotating Arguments in a Corpus of Opinion Articles","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/automatic-enrichment-of-abstract-meaning","slug":"automatic-enrichment-of-abstract-meaning","title":"Automatic Enrichment of Abstract Meaning Representations","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/building-a-biomedical-full-text-part-of","slug":"building-a-biomedical-full-text-part-of","title":"Building a Biomedical Full-Text Part-of-Speech Corpus Semi-Automatically","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/claim-extraction-and-law-matching-for-covid","slug":"claim-extraction-and-law-matching-for-covid","title":"Claim Extraction and Law Matching for COVID-19-related Legislation","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/clinidmap-towards-a-clinical-ids-mapping-for","slug":"clinidmap-towards-a-clinical-ids-mapping-for","title":"ClinIDMap: Towards a Clinical IDs Mapping for Data Interoperability","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/enhanced-entity-annotations-for-multilingual","slug":"enhanced-entity-annotations-for-multilingual","title":"Enhanced Entity Annotations for Multilingual Corpora","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/meshup-corpus-for-full-text-biomedical","slug":"meshup-corpus-for-full-text-biomedical","title":"MeSHup: Corpus for Full Text Biomedical Document Indexing","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/openel-an-annotated-corpus-for-entity-linking","slug":"openel-an-annotated-corpus-for-entity-linking","title":"OpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain Dialogue","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/telling-a-lie-analyzing-the-language-of","slug":"telling-a-lie-analyzing-the-language-of","title":"Telling a Lie: Analyzing the Language of Information and Misinformation during Global Health Events","date":"2022-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/gatenlp-ushef-at-semeval-2022-task-8-entity","slug":"gatenlp-ushef-at-semeval-2022-task-8-entity","title":"GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity","date":"2022-05-31","arxiv_id":"2205.15812","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-evolution-of-a-i-and-machine-learning","slug":"on-the-evolution-of-a-i-and-machine-learning","title":"On the Evolution of A.I. and Machine Learning: Towards a Meta-level Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences","date":"2022-05-26","arxiv_id":"2205.13131","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/on-the-evolution-of-a-i-and-machine-learning#ran","syntology_url":"https://syntology.ai/paper/2205.13131","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.13131"}},"official":{"repos":["rafaeelaudibert/tcc"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/end-to-end-multimodal-fact-checking-and","slug":"end-to-end-multimodal-fact-checking-and","title":"End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models","date":"2022-05-25","arxiv_id":"2205.12487","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/end-to-end-multimodal-fact-checking-and#ran","syntology_url":"https://syntology.ai/paper/2205.12487","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.12487"}},"official":{"repos":["VT-NLP/Mocheg"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/beyond-fact-verification-comparing-and","slug":"beyond-fact-verification-comparing-and","title":"ClaimDiff: Comparing and Contrasting Claims on Contentious Issues","date":"2022-05-24","arxiv_id":"2205.12221","repositories_listed":1,"syntology":null},{"url":"/paper/kold-korean-offensive-language-dataset","slug":"kold-korean-offensive-language-dataset","title":"KOLD: Korean Offensive Language Dataset","date":"2022-05-23","arxiv_id":"2205.11315","repositories_listed":1,"syntology":null},{"url":"/paper/descartes-generating-short-descriptions-of","slug":"descartes-generating-short-descriptions-of","title":"Descartes: Generating Short Descriptions of Wikipedia Articles","date":"2022-05-20","arxiv_id":"2205.10012","repositories_listed":1,"syntology":null},{"url":"/paper/need-is-all-you-need-homeostatic-neural","slug":"need-is-all-you-need-homeostatic-neural","title":"Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift","date":"2022-05-17","arxiv_id":"2205.08645","repositories_listed":1,"syntology":null},{"url":"/paper/positive-negative-and-neutral-modeling","slug":"positive-negative-and-neutral-modeling","title":"Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation","date":"2022-05-12","arxiv_id":"2205.06058","repositories_listed":1,"syntology":null},{"url":"/paper/introducing-the-welsh-text-summarisation","slug":"introducing-the-welsh-text-summarisation","title":"Introducing the Welsh Text Summarisation Dataset and Baseline Systems","date":"2022-05-05","arxiv_id":"2205.02545","repositories_listed":1,"syntology":null},{"url":"/paper/banglabiomed-a-biomedical-named-entity","slug":"banglabiomed-a-biomedical-named-entity","title":"BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/flexible-visual-grounding","slug":"flexible-visual-grounding","title":"Flexible Visual Grounding","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/tackling-fake-news-detection-by-continually","slug":"tackling-fake-news-detection-by-continually","title":"Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/thai-nested-named-entity-recognition-corpus","slug":"thai-nested-named-entity-recognition-corpus","title":"Thai Nested Named Entity Recognition Corpus","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/theres-a-time-and-place-for-reasoning-beyond-1","slug":"theres-a-time-and-place-for-reasoning-beyond-1","title":"There’s a Time and Place for Reasoning Beyond the Image","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/watclaimcheck-a-new-dataset-for-claim","slug":"watclaimcheck-a-new-dataset-for-claim","title":"WatClaimCheck: A new Dataset for Claim Entailment and Inference","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/two-new-datasets-for-italian-language","slug":"two-new-datasets-for-italian-language","title":"Two New Datasets for Italian-Language Abstractive Text Summarization","date":"2022-04-29","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/computer-vision-for-road-imaging-and-pothole","slug":"computer-vision-for-road-imaging-and-pothole","title":"Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms","date":"2022-04-28","arxiv_id":"2204.13590","repositories_listed":1,"syntology":null},{"url":"/paper/d3-a-massive-dataset-of-scholarly-metadata","slug":"d3-a-massive-dataset-of-scholarly-metadata","title":"D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research","date":"2022-04-28","arxiv_id":"2204.13384","repositories_listed":1,"syntology":null},{"url":"/paper/instilling-type-knowledge-in-language-models","slug":"instilling-type-knowledge-in-language-models","title":"Instilling Type Knowledge in Language Models via Multi-Task QA","date":"2022-04-28","arxiv_id":"2204.13796","repositories_listed":1,"syntology":null},{"url":"/paper/placing-m-phasis-on-the-plurality-of-hate-a","slug":"placing-m-phasis-on-the-plurality-of-hate-a","title":"Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online","date":"2022-04-28","arxiv_id":"2204.13400","repositories_listed":1,"syntology":null},{"url":"/paper/monant-medical-misinformation-dataset-mapping","slug":"monant-medical-misinformation-dataset-mapping","title":"Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims","date":"2022-04-26","arxiv_id":"2204.12294","repositories_listed":1,"syntology":null},{"url":"/paper/science-checker-extractive-boolean-question","slug":"science-checker-extractive-boolean-question","title":"Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking","date":"2022-04-26","arxiv_id":"2204.12263","repositories_listed":1,"syntology":null},{"url":"/paper/wikimulti-a-corpus-for-cross-lingual","slug":"wikimulti-a-corpus-for-cross-lingual","title":"WikiMulti: a Corpus for Cross-Lingual Summarization","date":"2022-04-23","arxiv_id":"2204.11104","repositories_listed":1,"syntology":null},{"url":"/paper/litmc-bert-transformer-based-multi-label","slug":"litmc-bert-transformer-based-multi-label","title":"LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation","date":"2022-04-19","arxiv_id":"2204.08649","repositories_listed":1,"syntology":null},{"url":"/paper/toward-a-minimal-information-reporting","slug":"toward-a-minimal-information-reporting","title":"Guidelines for reporting cell types: the MIRACL standard","date":"2022-04-18","arxiv_id":"2204.09673","repositories_listed":1,"syntology":null},{"url":"/paper/a-generative-approach-for-financial-causality","slug":"a-generative-approach-for-financial-causality","title":"A Generative Approach for Financial Causality Extraction","date":"2022-04-12","arxiv_id":"2204.05674","repositories_listed":1,"syntology":null},{"url":"/paper/how-does-fake-news-use-a-thumbnail-clip-based","slug":"how-does-fake-news-use-a-thumbnail-clip-based","title":"How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image","date":"2022-04-12","arxiv_id":"2204.05533","repositories_listed":1,"syntology":null},{"url":"/paper/machine-learning-state-of-the-art-with","slug":"machine-learning-state-of-the-art-with","title":"Machine Learning State-of-the-Art with Uncertainties","date":"2022-04-11","arxiv_id":"2204.05173","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 1 unverified","sample_list":"/paper/machine-learning-state-of-the-art-with#ran","syntology_url":"https://syntology.ai/paper/2204.05173","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.05173"}},"official":{"repos":["psteinb/sota_on_uncertainties"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/neus-neutral-multi-news-summarization-for-1","slug":"neus-neutral-multi-news-summarization-for-1","title":"NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias","date":"2022-04-11","arxiv_id":"2204.04902","repositories_listed":1,"syntology":null},{"url":"/paper/profairrec-provider-fairness-aware-news","slug":"profairrec-provider-fairness-aware-news","title":"ProFairRec: Provider Fairness-aware News Recommendation","date":"2022-04-10","arxiv_id":"2204.04724","repositories_listed":1,"syntology":null},{"url":"/paper/crudeoilnews-an-annotated-crude-oil-news","slug":"crudeoilnews-an-annotated-crude-oil-news","title":"CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction","date":"2022-04-08","arxiv_id":"2204.03871","repositories_listed":1,"syntology":null},{"url":"/paper/kcd-knowledge-walks-and-textual-cues-enhanced-1","slug":"kcd-knowledge-walks-and-textual-cues-enhanced-1","title":"KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media","date":"2022-04-08","arxiv_id":"2204.04046","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":2,"n_ran_checked":3,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":5,"phrase":"5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/kcd-knowledge-walks-and-textual-cues-enhanced-1#ran","syntology_url":"https://syntology.ai/paper/2204.04046","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.04046"}},"official":{"repos":["wenqian-zhang/kcd"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/entity-driven-fact-aware-abstractive","slug":"entity-driven-fact-aware-abstractive","title":"Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature","date":"2022-03-30","arxiv_id":"2203.15959","repositories_listed":1,"syntology":null},{"url":"/paper/computer-science-named-entity-recognition-in","slug":"computer-science-named-entity-recognition-in","title":"Computer Science Named Entity Recognition in the Open Research Knowledge Graph","date":"2022-03-28","arxiv_id":"2203.14579","repositories_listed":1,"syntology":null},{"url":"/paper/affective-feedback-synthesis-towards","slug":"affective-feedback-synthesis-towards","title":"Affective Feedback Synthesis Towards Multimodal Text and Image Data","date":"2022-03-23","arxiv_id":"2203.12692","repositories_listed":1,"syntology":null},{"url":"/paper/iam-a-comprehensive-and-large-scale-dataset","slug":"iam-a-comprehensive-and-large-scale-dataset","title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","date":"2022-03-23","arxiv_id":"2203.12257","repositories_listed":1,"syntology":null},{"url":"/paper/automatic-detection-of-entity-manipulated","slug":"automatic-detection-of-entity-manipulated","title":"Automatic Detection of Entity-Manipulated Text using Factual Knowledge","date":"2022-03-19","arxiv_id":"2203.10343","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-keyphrase-extraction-via-1","slug":"unsupervised-keyphrase-extraction-via-1","title":"Unsupervised Keyphrase Extraction via Interpretable Neural Networks","date":"2022-03-15","arxiv_id":"2203.07640","repositories_listed":1,"syntology":null},{"url":"/paper/show-me-more-details-discovering-hierarchies","slug":"show-me-more-details-discovering-hierarchies","title":"Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data","date":"2022-03-14","arxiv_id":"2203.07264","repositories_listed":1,"syntology":{"n":8,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":8,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/show-me-more-details-discovering-hierarchies#ran","syntology_url":"https://syntology.ai/paper/2203.07264","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.07264"}},"official":{"repos":["shuyanzhou/wikihow_hierarchy"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/faking-fake-news-for-real-fake-news-detection","slug":"faking-fake-news-for-real-fake-news-detection","title":"Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation","date":"2022-03-10","arxiv_id":"2203.05386","repositories_listed":1,"syntology":null},{"url":"/paper/nela-gt-2021-a-large-multi-labelled-news","slug":"nela-gt-2021-a-large-multi-labelled-news","title":"NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles","date":"2022-03-10","arxiv_id":"2203.05659","repositories_listed":1,"syntology":null},{"url":"/paper/nanopublication-based-semantic-publishing-and","slug":"nanopublication-based-semantic-publishing-and","title":"Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers","date":"2022-03-03","arxiv_id":"2203.01608","repositories_listed":1,"syntology":null},{"url":"/paper/there-is-a-time-and-place-for-reasoning","slug":"there-is-a-time-and-place-for-reasoning","title":"There is a Time and Place for Reasoning Beyond the Image","date":"2022-03-01","arxiv_id":"2203.00758","repositories_listed":1,"syntology":null},{"url":"/paper/models-and-datasets-for-cross-lingual-1","slug":"models-and-datasets-for-cross-lingual-1","title":"Models and Datasets for Cross-Lingual Summarisation","date":"2022-02-19","arxiv_id":"2202.09583","repositories_listed":1,"syntology":null}],"record_sha256":"d1c62a0e177902c1f2f07c97b2955b6410d3e55533466045ffa7924c3d5e7742","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}