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Hits 7.441 – 7.453 of 7.453

7441
PANACEA: LREC 2012, EC Projects Session
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7442
PANACEA: Language Technology Days. Luxembourg, 22/23 March 2010
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7443
Living a discrete life in a continuous world: reference with distributed representations
Boleda, Gemma; Baroni, Marco; Pham, Nghia The. - : ACL (Association for Computational Linguistics)
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7444
Creació d’un programa d’anàlisi i etiquetatge de noms propis en la premsa anglesa
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7445
A semantic model of selective dissemination of information for digital libraries
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7446
AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
Westera, Matthijs; Silberer, Carina; Aina, Laura. - : ACL (Association for Computational Linguistics)
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7447
Distributional vectors encode referential attributes
Gupta, Abhijeet; Boleda, Gemma; Padó, Sebastian. - : ACL (Association for Computational Linguistics)
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7448
Convolutional neural network language models
Boleda, Gemma; Pham, Nghia The; Kruszewski, German. - : ACL (Association for Computational Linguistics)
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7449
A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
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7450
“Show me the cup”: reference with continuous representations
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7451
The LAMBADA dataset: word prediction requiring a broad discourse context
Kruszewski, German; Fernandez, Raquel; Baroni, Marco. - : ACL (Association for Computational Linguistics)
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7452
Uso de corpora comparáveis para filtrar dicionários bilíngues gerados por transitividade ; Using comparable corpora to filter bilingual dictionaries generated by transitivity
Gamallo Otero, Pablo. - : Pontifícia Universidade Católica de São Paulo
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7453
Interactive Visualizations of Natural Language
Collins, Christopher. - NO_RESTRICTION
Abstract: While linguistic skill is a hallmark of humanity, the increasing volume of linguistic data each of us faces is causing individual and societal problems — ‘information overload’ is a commonly discussed condition. Tasks such as finding the most appropriate information online, understanding the contents of a personal email repository, and translating documents from another language are now commonplace. These tasks need not cause stress and feelings of overload: the human intellectual capacity is not the problem. Rather, the computational interfaces to linguistic data are problematic — there exists a Linguistic Visualization Divide in the current state-of-the-art. Through five design studies, this dissertation combines sophisticated natural language processing algorithms with information visualization techniques grounded in evidence of human visuospatial capabilities. The first design study, Uncertainty Lattices, augments real-time computermediated communication, such as cross-language instant messaging chat and automatic speech recognition. By providing explicit indications of algorithmic confidence, the visualization enables informed decisions about the quality of computational outputs. Two design studies explore the space of content analysis. DocuBurst is an interactive visualization of document content, which spatially organizes words using an expert-created ontology. Broadening from single documents to document collections, Parallel Tag Clouds combine keyword extraction and coordinated visualizations to provide comparative overviews across subsets of a faceted text corpus. Finally, two studies address visualization for natural language processing research. The Bubble Sets visualization draws secondary set relations around arbitrary collections of items, such as a linguistic parse tree. From this design study we propose a theory of spatial rights to consider when assigning visual encodings to data. Expanding considerations of spatial rights, we present a formalism to organize the variety of approaches to coordinated and linked visualization, and introduce VisLink, a new method to relate and explore multiple 2d visualizations in 3d space. Intervisualization connections allow for cross-visualization queries and support high level comparison between visualizations. From the design studies we distill challenges common to visualizing language data, including maintaining legibility, supporting detailed reading, addressing data scale challenges, and managing problems arising from semantic ambiguity. ; PhD
Keyword: 0723; 0984; information visualization; linguistics; machine translation; natural language processing; visualization
URL: http://hdl.handle.net/1807/24726
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