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10 research outcomes, page 1 of 1
  • publication . Article . 2013
    Open Access English
    Authors:
    Laura Rimell; Thomas Lippincott; Karin Verspoor; Helen L. Johnson; Anna Korhonen;
    Persistent Identifiers
    Publisher: Elsevier Inc.
    Project: UKRI | Lexical Acquisition for t... (EP/G051070/1)

    Background: Biomedical natural language processing (NLP) applications that have access to detailed resources about the linguistic characteristics of biomedical language demonstrate improved performance on tasks such as relation extraction and syntactic or semantic parsi...

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  • publication . Article . 2016
    Open Access
    Authors:
    Grandjean, Martin;
    Persistent Identifiers
    Publisher: Informa UK Limited
    Country: France

    International audience; Defining digital humanities might be an endless debate if we stick to the discussion about the boundaries of this concept as an academic “discipline”. In an attempt to concretely identify this field and its actors, this paper shows that it is pos...

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  • publication . Part of book or chapter of book . 2015
    Open Access
    Authors:
    Paul Rayson;
    Persistent Identifiers
    Publisher: Cambridge University Press
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  • publication . Article . 2019
    Open Access English
    Authors:
    Amelie Dorn; Eveline Wandl-Vogt; Davor Davidović; Roberto Barbera;
    Persistent Identifiers
    Country: Croatia
    Project: EC | EGI-Engage (654142), EC | EOSC-hub (777536)

    The rapid development of new digital tools and infrastructures in recent years and their application to a variety of disciplines has transformed how we store, access and retrieve information available to us. This has also shaped the ways how knowledge in a diverse cultu...

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  • publication . Article . 2012
    Open Access
    Authors:
    Thomas Lippincott; Laura Rimell; Karin Verspoor; Anna Korhonen;
    Persistent Identifiers
    Publisher: Elsevier BV

    AbstractInformation about verb subcategorization frames (SCFs) is important to many tasks in natural language processing (NLP) and, in turn, text mining. Biomedicine has a need for high-quality SCF lexicons to support the extraction of information from the biomedical li...

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  • publication . Article . 2015
    Open Access
    Authors:
    Jennifer Edmond; Natasa Bulatovic; Alexander O'Connor;
    Persistent Identifiers
    Publisher: Japanese Association for Digital Humanities
    Project: EC | CENDARI (284432), SFI | Centre for Next Generatio... (12/CE/I2267)
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  • publication . Article . 2017
    Open Access English
    Authors:
    Bridget Almas;
    Persistent Identifiers
    Publisher: Ubiquity Press

    The Perseids project provides a platform for creating, publishing, and sharing research data, in the form of textual transcriptions, annotations and analyses. An offshoot and collaborator of the Perseus Digital Library (PDL), Perseids is also an experiment in reusing an...

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  • publication . Article . 2020
    Open Access English
    Authors:
    Luca Foppiano; Laurent Romary;
    Persistent Identifiers
    Publisher: HAL CCSD
    Country: France
    Project: EC | HIRMEOS (731102)

    International audience; This paper presents an attempt to provide a generic named-entity recognition and disambiguation module (NERD) called entity-fishing as a stable online service that demonstrates the possible delivery of sustainable technical services within DARIAH...

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  • publication . Article . Preprint . 2018
    Open Access English
    Authors:
    Nadia Boukhelifa; Michael Bryant; Natasa Bulatovic; Ivan Čukić; Jean-Daniel Fekete; Milica Knežević; Jörg Lehmann; David I. Stuart; Carsten Thiel;
    Persistent Identifiers
    Publisher: HAL CCSD
    Countries: France, United Kingdom
    Project: EC | CENDARI (284432)

    International audience; The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on ...

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  • publication . Conference object . Preprint . 2019
    Open Access English
    Authors:
    Lilia Simeonova; Kiril Simov; Petya Osenova; Preslav Nakov;
    Persistent Identifiers

    We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological information. While previous work has focused on lea...

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10 research outcomes, page 1 of 1