Joint Entity and Event Extraction with Generative Adversarial Imitation Learning
We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a generative adversarial network (GAN). We assume that instances and labels yield to various extents of difficulty and the gains and penalties...
Saved in:
| Published in | Data intelligence Vol. 1; no. 2; pp. 99 - 120 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
01.04.2019
MIT Press Journals, The |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a generative adversarial network (GAN). We assume that instances and labels yield to various extents of difficulty and the gains and penalties (rewards) are expected to be diverse. We utilize discriminators to estimate proper rewards according to the difference between the labels committed by the ground-truth (expert) and the extractor (agent). Our experiments demonstrate that the proposed framework outperforms state-of-the-art methods. |
|---|---|
| AbstractList | We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a generative adversarial network (GAN). We assume that instances and labels yield to various extents of difficulty and the gains and penalties (rewards) are expected to be diverse. We utilize discriminators to estimate proper rewards according to the difference between the labels committed by the ground-truth (expert) and the extractor (agent). Our experiments demonstrate that the proposed framework outperforms state-of-the-art methods. |
| Author | Sil, Avirup Ji, Heng Zhang, Tongtao |
| Author_xml | – sequence: 1 givenname: Tongtao surname: Zhang fullname: Zhang, Tongtao organization: Computer Science Department, Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA – sequence: 2 givenname: Heng orcidid: 0000-0002-7954-7994 surname: Ji fullname: Ji, Heng email: jih@rpi.edu organization: Computer Science Department, Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA – sequence: 3 givenname: Avirup surname: Sil fullname: Sil, Avirup organization: IBM Research Al, Armonk, New York 10504-1722, USA |
| BookMark | eNp1kM1OAjEURhuDiYjsfIBJ3LhwtP8zXRlCEDEkutDEXVM6HS2BDnbKKD69RUgkBFdtmvN99_acgparnAHgHMFrhDi-KawLUkkIIaJHoI05RSkl7LW1cz8B3bqeRgQjjgRlbfD0UMVcMnDBhlWiXJEMGrN--Ape6WArl3za8J4MjTNeBduYpFc0xtfKWzVLRnMb1C81Nso7697OwHGpZrXpbs8OeLkbPPfv0_HjcNTvjVNNBAxpxgXXpiAFVTlDuZkUWKAM6UzgosRGFyXPWM44IYiQbJIJpjimJUMToUlJFemAi03vwlcfS1MHOa2W3sWREucCCp5hlkfqakNpX9W1N6VceDtXfiURlGttcldbxPEerrf_izbs7L_Q7SYUXfwtsUYaZLEkkFDEJI7OY1hCIb_tYr_h8kDDwWE_zP-Vzw |
| CitedBy_id | crossref_primary_10_1007_s00521_020_05360_1 crossref_primary_10_1109_ACCESS_2020_2965964 crossref_primary_10_1016_j_jbi_2023_104371 crossref_primary_10_1016_j_artint_2024_104144 crossref_primary_10_1109_TASLP_2021_3138670 crossref_primary_10_1016_j_knosys_2024_112041 crossref_primary_10_1145_3464426 crossref_primary_10_1007_s11280_023_01216_5 crossref_primary_10_3390_electronics13101807 crossref_primary_10_1109_TKDE_2023_3266495 crossref_primary_10_1109_TNNLS_2022_3213168 crossref_primary_10_1016_j_procs_2020_06_066 crossref_primary_10_1016_j_ipm_2021_102596 crossref_primary_10_3390_app13169257 crossref_primary_10_1016_j_asej_2024_103040 crossref_primary_10_1016_j_neucom_2022_01_069 crossref_primary_10_3390_electronics12061386 crossref_primary_10_1016_j_eswa_2022_118257 crossref_primary_10_1109_ACCESS_2019_2956831 crossref_primary_10_1109_ACCESS_2020_2985126 crossref_primary_10_1109_TBDATA_2023_3291563 crossref_primary_10_1109_ACCESS_2020_3024872 crossref_primary_10_3390_app14072902 crossref_primary_10_1049_cit2_12062 crossref_primary_10_1007_s13042_022_01760_y crossref_primary_10_1162_coli_a_00415 crossref_primary_10_1371_journal_pone_0272353 crossref_primary_10_3389_fphy_2022_1044919 crossref_primary_10_1109_ACCESS_2021_3130956 crossref_primary_10_7717_peerj_cs_1066 crossref_primary_10_1016_j_ipm_2021_102636 crossref_primary_10_1088_1742_6596_2171_1_012062 crossref_primary_10_1155_2021_5599962 |
| Cites_doi | 10.1162/neco.1997.9.8.1735 10.1007/s10994-009-5106-x |
| ContentType | Journal Article |
| Copyright | 2019. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2019. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L6V M7S P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS |
| DOI | 10.1162/dint_a_00014 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials Proquest Central Journals Technology Collection ProQuest One Community College ProQuest Central ProQuest Central Student Proquest SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Engineering Collection Engineering Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering Collection |
| DatabaseTitle | CrossRef Publicly Available Content Database Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest Central Korea ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2641-435X |
| EndPage | 120 |
| ExternalDocumentID | 10_1162_dint_a_00014 dint_a_00014.pdf |
| GroupedDBID | ABJCF AFKRA ALMA_UNASSIGNED_HOLDINGS ARAPS BENPR BGLVJ CCPQU EBS EJD GROUPED_DOAJ HCIFZ JMNJE K7- LM3 M7S OK1 PIMPY PTHSS RMI AAYXX CITATION PHGZM PHGZT PQGLB 8FE 8FG ABUWG AZQEC DWQXO GNUQQ JQ2 L6V P62 PKEHL PQEST PQQKQ PQUKI |
| ID | FETCH-LOGICAL-c390t-7696ced3d4a8518ebd29171c792df2ecdf675856331337b795a624f51b9c3f4a3 |
| IEDL.DBID | BENPR |
| ISSN | 2641-435X |
| IngestDate | Fri Jul 25 11:51:33 EDT 2025 Thu Apr 24 23:02:25 EDT 2025 Tue Aug 05 12:05:25 EDT 2025 Thu Mar 28 07:29:35 EDT 2024 Tue Mar 01 17:18:16 EST 2022 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c390t-7696ced3d4a8518ebd29171c792df2ecdf675856331337b795a624f51b9c3f4a3 |
| Notes | Spring, 2019 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-7954-7994 |
| OpenAccessLink | https://www.proquest.com/docview/2890967258?pq-origsite=%requestingapplication% |
| PQID | 2890967258 |
| PQPubID | 6535869 |
| PageCount | 22 |
| ParticipantIDs | mit_journals_dintv1i2_303415_2021_11_09_zip_dint_a_00014 mit_journals_10_1162_dint_a_00014 crossref_citationtrail_10_1162_dint_a_00014 crossref_primary_10_1162_dint_a_00014 proquest_journals_2890967258 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-04-01 |
| PublicationDateYYYYMMDD | 2019-04-01 |
| PublicationDate_xml | – month: 04 year: 2019 text: 2019-04-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | One Rogers Street, Cambridge, MA 02142-1209, USA |
| PublicationPlace_xml | – name: One Rogers Street, Cambridge, MA 02142-1209, USA – name: Cambridge |
| PublicationTitle | Data intelligence |
| PublicationYear | 2019 |
| Publisher | MIT Press MIT Press Journals, The |
| Publisher_xml | – name: MIT Press – name: MIT Press Journals, The |
| References | ref23 Sutton R.S. (ref36) 2000 Walker C. (ref1) 2006 ref33 |
| References_xml | – ident: ref33 doi: 10.1162/neco.1997.9.8.1735 – volume-title: ACE 2005 multilingual training corpus year: 2006 ident: ref1 – ident: ref23 doi: 10.1007/s10994-009-5106-x – start-page: 1057 volume-title: Advances in Neural Information Processing Systems 12 (NIPS 1999) year: 2000 ident: ref36 |
| SSID | ssj0002161945 |
| Score | 2.4514334 |
| Snippet | We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a... |
| SourceID | proquest crossref mit |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 99 |
| SubjectTerms | Blasphemy Event extraction Generative adversarial network Generative adversarial networks Imitation learning Information extraction Labels |
| Title | Joint Entity and Event Extraction with Generative Adversarial Imitation Learning |
| URI | https://direct.mit.edu/dint/article/doi/10.1162/dint_a_00014 https://www.proquest.com/docview/2890967258 |
| Volume | 1 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LSwMxEA62vXgRRcU3EfQki202rzmJytbHoRSx4C1ks7tS0LbaVdRf72Q39YneFjJZdpPJzDePzBCyZ0WhUy1FZJ2FiIt2HCFqhQgAHy1Iy-sE2Z48H_DLG3ETHG7TkFY5k4mVoM7GzvvID31ADKRiQh9NHiLfNcpHV0MLjQZpoQjWuklaJ0mvf_XhZWEdb6WLWca7ZIeoEUpjq5gr_6aLGvfD8pdArrRMd5EsBHhIj-v9XCJz-WiZ9C_H-Dqa-Bu1rxRNf5r4LEWavJSP9b0E6t2ptC4h7eUXrfosT63nLnpxH-pw01BM9XaFDLrJ9el5FDohRC6GdhkpCdLlWZxxiwhJ52nG0MzqOAUsK1jusqLC_TKO0eRUqQJhJeOF6KTg4oLbeJU0R-NRvkYoaOYyBbIQecaVkmnBEONxW4CT4JRcJwezNTEufJ7vVnFnKnNBMvN1BdfJ_gf1pC6P8QfdLv6rCedj-geN_kbjx547Q2ZQyyLMMAx3E2eZNpi34eTH1K3Zvn3O_-SYjf-HN8k8wiCo83G2SLN8fMq3EWqU6Q5p6O7ZTuCqd13D1Kk |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3JTsMwELVoOcAFgQBRViPBCUW0jpf4gBCClpZNHEDiZhw7QZWgLW1YykfxjYyzlE1w6y2Sx1ZiT2bejGdBaEuzOAgDzjxttPQoq_oeoFbpSQmPWnJNswDZC968pic37GYCvRe5MC6sspCJqaC2XeN85LvuQkxyQViw33v0XNcod7tatNDI2OI0Gr6AyTbYax3B-W4T0qhfHTa9vKuAZ8C-TzzBJTeR9S3VgDaCKLQETJaaEZLYmETGximG5r4P5psIhWSaExqzWiiNH1Ptw7olNEl90OQuM71xPPLpkJrzCbAivp6TXdA_idLpDS_9pvlKD-3kl_hPdVpjFs3kYBQfZNwzhyaizjy6POnCcrju8neHWHcsrruYSFx_TfpZFgR2zlucFax20hKnXZ0H2vEybj3kVb9xXrr1bgFdj2WHFlG50-1ESwjLgBgrJI9ZZKkQPIwJIEqqY2m4NIJX0E6xJ8rkr-d6Y9yr1DjhRH3dwQraHlH3smIcf9Btwreq_G8c_EETfKNxY8-1NlGg0wHUKAKnCbNUVaq3du_H1NXi3D7nf_Ln8v_DG2iqeXV-ps5aF6craBoAmMwigVZROek_RWsAcpJwPeUsjG7HzcofZd8OkA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Joint+Entity+and+Event+Extraction+with+Generative+Adversarial+Imitation+Learning&rft.jtitle=Data+intelligence&rft.au=Zhang%2C+Tongtao&rft.au=Ji%2C+Heng&rft.au=Sil%2C+Avirup&rft.date=2019-04-01&rft.pub=MIT+Press+Journals%2C+The&rft.eissn=2641-435X&rft.volume=1&rft.issue=2&rft.spage=99&rft_id=info:doi/10.1162%2Fdint_a_00014 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2641-435X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2641-435X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2641-435X&client=summon |