Luke D. Gessler

I am a third-year Ph.D. student in computational linguistics at Georgetown University. I am interested in linguistic annotation and low-resource NLP, particularly in the context of endangered language documentation. Here's my CV. I am also an org-mode and Lisp (Clojure, in particular) fanatic.

Recent work

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[DOI]

@inproceedings{gessler-etal-2020-supersense,
    title = "Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions",
    author = "Gessler, Luke  and
      Wein, Shira  and
      Schneider, Nathan",
    booktitle = "Proceedings of the 14th Linguistic Annotation Workshop",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.law-1.11",
    pages = "117--126",
    abstract = "Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations indirectly by eliciting surface substitution and similarity judgments. Four pilot studies suggest that both methods have potential for producing prepositional supersense annotations that are comparable in quality to expert annotations.",
}

@inproceedings{gessler-etal-2020-amalgum,
    title = "{AMALGUM} {--} A Free, Balanced, Multilayer {E}nglish Web Corpus",
    author = "Gessler, Luke  and
      Peng, Siyao  and
      Liu, Yang  and
      Zhu, Yilun  and
      Behzad, Shabnam  and
      Zeldes, Amir",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.648",
    pages = "5267--5275",
    abstract = "We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory. By tapping open online data sources the corpus is meant to offer a more sizable alternative to smaller manually created annotated data sets, while avoiding pitfalls such as imbalanced or unknown composition, licensing problems, and low-quality natural language processing. We harness knowledge from multiple annotation layers in order to achieve a {``}better than NLP{''} benchmark and evaluate the accuracy of the resulting resource.",
    language = "English",
    ISBN = "979-10-95546-34-4",
}

@inproceedings{arora-etal-2020-supervised,
    title = "Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in {H}indi and {P}unjabi",
    author = "Arora, Aryaman  and
      Gessler, Luke  and
      Schneider, Nathan",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.696",
    doi = "10.18653/v1/2020.acl-main.696",
    pages = "7791--7795",
    abstract = "Hindi grapheme-to-phoneme (G2P) conversion is mostly trivial, with one exception: whether a schwa represented in the orthography is pronounced or unpronounced (deleted). Previous work has attempted to predict schwa deletion in a rule-based fashion using prosodic or phonetic analysis. We present the first statistical schwa deletion classifier for Hindi, which relies solely on the orthography as the input and outperforms previous approaches. We trained our model on a newly-compiled pronunciation lexicon extracted from various online dictionaries. Our best Hindi model achieves state of the art performance, and also achieves good performance on a closely related language, Punjabi, without modification.",
}

@inproceedings{neubig-etal-2020-summary,
    title = "A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization",
    author = "Neubig, Graham  and
      Rijhwani, Shruti  and
      Palmer, Alexis  and
      MacKenzie, Jordan  and
      Cruz, Hilaria  and
      Li, Xinjian  and
      Lee, Matthew  and
      Chaudhary, Aditi  and
      Gessler, Luke  and
      Abney, Steven  and
      Hayati, Shirley Anugrah  and
      Anastasopoulos, Antonios  and
      Zamaraeva, Olga  and
      Prud'hommeaux, Emily  and
      Child, Jennette  and
      Child, Sara  and
      Knowles, Rebecca  and
      Moeller, Sarah  and
      Micher, Jeffrey  and
      Li, Yiyuan  and
      Zink, Sydney  and
      Xia, Mengzhou  and
      Sharma, Roshan S  and
      Littell, Patrick",
    booktitle = "Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources association",
    url = "https://www.aclweb.org/anthology/2020.sltu-1.48",
    pages = "342--351",
    abstract = "Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited. In August 2019, a workshop was held at Carnegie Mellon University in Pittsburgh, PA, USA to attempt to bring together language community members, documentary linguists, and technologists to discuss how to bridge this gap and create prototypes of novel and practical language revitalization technologies. The workshop focused on developing technologies to aid language documentation and revitalization in four areas: 1) spoken language (speech transcription, phone to orthography decoding, text-to-speech and text-speech forced alignment), 2) dictionary extraction and management, 3) search tools for corpora, and 4) social media (language learning bots and social media analysis). This paper reports the results of this workshop, including issues discussed, and various conceived and implemented technologies for nine languages: Arapaho, Cayuga, Inuktitut, Irish Gaelic, Kidaw{'}ida, Kwak{'}wala, Ojibwe, San Juan Quiahije Chatino, and Seneca.",
    language = "English",
    ISBN = "979-10-95546-35-1",
}

@InProceedings{AbrahsGesslerMarge2019Brex,
    title = "B. Rex: A Dialogue Agent for Book Recommendations",
	author = {Mitchell Abrams and Luke Gessler and Matthew Marge},
    booktitle = "Proceedings of the 20th Annual {SIG}dial Meeting on Discourse and Dialogue",
    year = "2019",
    address = "Stockholm, Sweden",
    publisher = "Association for Computational Linguistics",
}

@unpublished{GesslerdeRSE19,
title={Optimizing Developer Productivity in Endangered Language Documentation Apps},
author = {Luke Gessler},
year = {2019},
school = {Talk given at deRSE19},
url= {https://derse19.uni-jena.de/derse19/talk/NFAVXV/},
comment={abstract},
url2={https://docs.google.com/presentation/d/1IRiU2z_Xx6QHDA9m_16Gd6pBNjnpnrmlP65AxKyZlyo/edit?usp=sharing},
comment2={slides}
}

@InProceedings{GesslerLiuZeldes2019Signals,
  author    = {Luke Gessler and Yang Liu and Amir Zeldes},
  title     = {A Discourse Signal Annotation System for RST Trees},
  year      = {2019},
  booktitle = {Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019},
  address   = {Minneapolis, MN},
  url = {https://aclweb.org/anthology/papers/W/W19/W19-2708/},
  pages = {56--61},
  comment = {paper}
}

@InProceedings{Gessler2019computel,
 title={{Developing without developers: choosing labor-saving tools for language documentation apps}},
  author={Luke Gessler},
  journal={{Proceedings of the 3rd Workshop on the Use of Computational Methods in the Study of Endangered Languages}},
  volume={1},
  pages={6--13},
  year={2019},
  url={https://computel-workshop.org/wp-content/uploads/2019/02/CEL3_book_papers_draft.pdf#page=18},
  comment={paper}
}

Other

I curate a <marquee> museum.