{"id":18258734,"url":"https://github.com/maaarcocr/papers-i-wrote","last_synced_at":"2026-02-12T16:31:02.563Z","repository":{"id":128756676,"uuid":"130511196","full_name":"Maaarcocr/papers-i-wrote","owner":"Maaarcocr","description":null,"archived":false,"fork":false,"pushed_at":"2019-10-31T12:21:38.000Z","size":874,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-01T10:59:13.865Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Maaarcocr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-04-21T20:52:32.000Z","updated_at":"2019-10-31T12:21:39.000Z","dependencies_parsed_at":"2023-03-28T21:17:08.036Z","dependency_job_id":null,"html_url":"https://github.com/Maaarcocr/papers-i-wrote","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Maaarcocr/papers-i-wrote","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Maaarcocr%2Fpapers-i-wrote","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Maaarcocr%2Fpapers-i-wrote/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Maaarcocr%2Fpapers-i-wrote/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Maaarcocr%2Fpapers-i-wrote/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Maaarcocr","download_url":"https://codeload.github.com/Maaarcocr/papers-i-wrote/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Maaarcocr%2Fpapers-i-wrote/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29372182,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-12T08:51:36.827Z","status":"ssl_error","status_checked_at":"2026-02-12T08:51:26.849Z","response_time":55,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-05T10:34:11.701Z","updated_at":"2026-02-12T16:31:02.545Z","avatar_url":"https://github.com/Maaarcocr.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# papers-i-wrote\nThis is a collection of papers I wrote (or co-wrote)\n\n## [Understanding language - one evaluation at a time](https://github.com/Maaarcocr/papers-i-wrote/blob/master/understanding-language-one.pdf)\nIn this survey I will firstly introduce the reader to the basic concepts that power the modern NLP research, describing concepts like neural networks, optimizations techniques and word embeddings. Then, I will describe the status of the art of evaluation in the NLP community, what problems exist and solutions. I will conclude exploring by future directions in evaluating NLP systems. \n\n## [Hyper-parameter tuning and empirical evaluation in Natural Language Processing](https://github.com/Maaarcocr/papers-i-wrote/blob/master/hyper-parameter-tuning-and-evaluation.pdf)\n\nAs the field of Natural Language Processing (NLP) continues to mature, with more claimed state-of-the-art results, it has become increasingly difficult to discern between model architecture strength and irrelevant factors. We see our works being developed into a fully integrated framework, which would allow us to compare architectures on different data-sets with automatic hyper-parameter tuning. We introduce a systematic and reproducible method, which allows us to reduce bias. Our black-box optimisation not only leads to computational speedup, but also achieves stronger results than the word2vec default hyper-parameters; achieving a significant 15.9% improvement on a word similarity evaluation metric. We aim to usher in a new trend where future research has greater emphasis on careful empirical experimentation, leading to superior architectures.\n\n## [”What does it refer to?” Casting Reference Resolution as Question Answering](https://github.com/Maaarcocr/papers-i-wrote/blob/master/what-does-it-refer-to.pdf)\n\nMost   approaches   to   coreference  resolutionwhich are present in the current literature donot  make  extensive  use  of  large  pre-trainedlanguage models representations.  We presenttwo new such approaches, by casting corefer-ence resolution as question answering and byusing a pre-trained BERT model fine-tuned onthe GAP dataset.  This dataset was created inresponse to presence of gender bias in previousdatasets, thus it is a gender balanced corefer-ence resolution dataset.  We achieve compet-itive  results  in  this  dataset  under  2  differentvariations of the task it proposes. Our best re-sult is 84.7% accuracy.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaaarcocr%2Fpapers-i-wrote","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaaarcocr%2Fpapers-i-wrote","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaaarcocr%2Fpapers-i-wrote/lists"}