A Graph-Based Method for Unsupervised Knowledge Discovery from Financial Texts

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 543–550 Marseille, 20-25 June 2022 © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0 543 Reflections on 30 Years of Language Resource Development and Sharing Christopher Cieri, Mark Liberman, Sunghye Cho, Stephanie Strassel, James Fiumara, Jonathan Wright Linguistic Data Consortium 3600 Market Street, Philadelphia, PA. USA 19104 {ccieri, myl, csunghye, strassel, jfiumara, jdwright}@ldc.upenn.edu Abstract The Linguistic Data Consortium (LDC) was founded in 1992 to solve the problem that limitations in access to shareable data were impeding progress in Human Language Technology research and development. At the time, the US Defense Advanced Research Projects Agency had adopted the common task research management paradigm to impose additional rigor on their programs by providing shared objectives, data and evaluation methods. Early successes underscored the promise of this paradigm but also the need for a standing infrastructure to host and distribute the shared data. During LDC’s initial five year grant, it became clear that the demand for linguistic data could not easily be met by the existing providers and that a dedicated data center could add capacity first for data collection and shortly thereafter for annotation. The expanding purview required expansions of LDC’s technical infrastructure including systems support and software development. An open question for the center would be its role in research beyond data development, a question that has since been addressed. Over its 30 years history, LDC has performed multiple roles ranging from neutral, independent data provider to multisite programs, to creator of exploratory data in tight collaboration with system developers, to research group focused on data intensive investigations. Keywords: language resources, linguistic data, annotation, data centers, data intensive research 1. Introduction Over its history, the roles of the Linguistic Data Consortium (LDC) 1 have grown in response to, or anticipation of community demands, from publisher, archive and sometime funder of linguistic data created by others, to data collector and annotator, to developer of data specifications and systems for collection and annotation, to research group focused on data intensive investigations. The European Language Resource Association (ELRA)2 reported a similar expansion in its 20 year retrospective (Choukri et al., 2016). This paper continues a biennial tradition of providing the LREC community with an update on LDC progress but also provides a retrospective view of LDC history and a preview into future plans. 2. Language Data Center Pre-History Human Language Technology (HLT) research in the mid- 1980s in the United States was just beginning to awaken from its long hibernation during the AI winter. The now infamous Automatic Language Processing Advisory Committee (ALPAC) report (Pierce et al., 1966) had claimed that in the US the demand for translation had been overestimated while the capacity of available human translators in the market was sufficient to meet demand but had been hampered by obstructions in the supply chain. It implicitly rejected the notion that relevant scientific publications should be broadly available to researchers regardless of the languages of those publications’ authors and readers. …

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