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Temporally-Informed Analysis of Named Entity Recognition ...
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Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ...
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Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ...
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ...
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Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements ...
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Prerequisites for Extracting Entity Relations from Swedish Texts
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Lenas, Erik. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features
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In: Information ; Volume 11 ; Issue 2 (2020)
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A Review of Geospatial Semantic Information Modeling and Elicitation Approaches
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In: ISPRS International Journal of Geo-Information ; Volume 9 ; Issue 3 (2020)
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Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements
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In: 2020 International Conference on Data Mining Workshops (ICDMW) (2020)
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NAT: Noise-Aware Training for Robust Neural Sequence Labeling
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In: Fraunhofer IAIS (2020)
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Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain
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In: Fraunhofer IAIS (2020)
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133 |
Domain-Independent Extraction of Scientific Concepts from Research Articles ...
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Focus Particles and Extraction – An Experimental Investigation of German and English Focus Particles in Constructions with Leftward Association ...
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COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION ...
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Roy, Arpita. - : Maryland Shared Open Access Repository, 2020
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Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings
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Receptive field transformations of the optimal HSNN predicts transformations observed along the ascending auditory pathway.
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Focus Particles and Extraction – An Experimental Investigation of German and English Focus Particles in Constructions with Leftward Association
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Abstract:
In my dissertation on leftward association of English and German focus particles, I investigate the following overall research questions: How strong is the c-command relation between focus particles and their associated focus? Is their relation fixed or are there factors which can license leftward association? In my study, I focus on the English particles "only" and "even" and the corresponding German particles "nur" and "sogar". These particles preferably c-command their associated focus constituent (as in "Only SAM will eat chocolate). It is controversial in the literature how strong this c-command relation is and whether leftward association of these particles is acceptable (as in "SAM will only eat chocolate"). To my knowledge, my study provides the first experimental investigation dealing with this phenomenon. In the analysis of examples from everyday language and in various acceptability judgment studies, I identified the following factors which license leftward association of the German particles under consideration: (i) prosody, (ii) speaker evaluation, and (iii) special emphasis. I conclude that the c-command relation between focus particles and their associated focus is strong but not fixed in such a way that leftward association is impossible, as there are factors which improve and license this construction. Moreover, German examples I collected from spontaneous speech provide evidence that leftward association of the German particles under consideration occurs in spoken language. I base my explanations of the data on theories dealing with emphatic syntactic constructions and on theories dealing with salience and cognitive prominence. I propose an account which combines information structure, pragmatics, and processing.
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Keyword:
400; 420; 430; acceptability judgment studies; Akzeptabilitätsstudien; Alltagssprache; Ambiguität; ambiguity; cognitive prominence; context; Deutsch; Emphase; emphasis; Englisch; English; even; everyday language; Experimentelle Linguistik; extraction; focus; focus particles; Fokus; German; Gradpartikel; information structure; Informationsstruktur; Kontext; leftward association; linguistics; Linguistik; Linksassoziierung; nur; only; pragmatics; Pragmatik; Prosodie; prosody; sogar; speaker evaluation; Sprecherevaluation; Syntax
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URL: http://hdl.handle.net/10900/97239 http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-972396 https://doi.org/10.15496/publikation-38622
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Deep Neural Architectures for End-to-End Relation Extraction
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In: Theses and Dissertations--Computer Science (2020)
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