NLP systems
Automatic Dictionary Organization in NLP Systems for Oriental Languages
... AUTOMATIC DICTIONARY ORGANIZATION IN NLP SYSTEMS FOR ORIENTAL LANGUAGES AUTOMATIC DICTIONARY ORGANIZATION IN NLP SYSTEMS FOR ORIENTAL LANGUAGES V Andrezen, L Kogan, W Kwitakowski, R Minvaleev, R Piotr[.] ...
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Learning Based Java for Rapid Development of NLP Systems
... most NLP systems, a lexicon associating each feature with a unique integer index is built from the training ...Many NLP systems create a separate entry in the lexicon’s hash table for every ...
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Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
... in NLP, a setting to which hu- mans are very robust, as our experiments with both simple and more difficult visual perturba- tions ...current NLP systems on character-, word-, and sentence- level ...
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Effective Parsing for Human Aided NLP Systems
... In this paper, we present our efforts towards identifying probable incorrect edges and then suggesting k-best alternates for the same in a typed-dependency framework. Such a setup is beneficial in human aided NLP ...
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Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
... current NLP systems, and the substantial discrepancy between their capacities and that of humans, suggests that there is much left to be desired in the traditional “iid” ...any NLP system that is re- ...
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The “Whiteboard” Architecture: A Way to Integrate Heterogeneous Components of NLP Systems
... THE 'WHITEBOARD' ARCHITECTURE A WAY TO INTEGRATE HETEROGENEOUS COMPONENTS OF NLP SYSTEMS T H E " W H I T E B O A R D " A R C H I T E C T U R E A W A Y TO I N T E G R A T E H E T E R O G E N E O U S C[.] ...
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Kathaa : NLP Systems as Edge Labeled Directed Acyclic MultiGraphs
... complex NLP system as an edge-labeled Directed Acyclic MultiGraph with the Kathaa Module Instances as nodes, and edges representing the flow of kathaa-data- blobs between ...complex systems, as it lets the ...
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Minimum Risk Training of Approximate CRF Based NLP Systems
... CRF-based systems, we revisited three NLP do- mains that can naturally be modeled with approx- imate CRF-based ...the NLP models are improved by moving to richer CRFs that require approximate ...
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A Tool for Automated Revision of Grammars for NLP Systems
... We also discuss algorithms to make the revised grammar compact using minimum description length MDL based grammar compaction techniques and extensions to our basic algorithm to handle gr[r] ...
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CFO: A Framework for Building Production NLP Systems
... produced systems that surpass human-level exact match accuracy on the SQuAD datasets, causing us to focus on the challenging new Natural Questions (NQ) dataset (Kwiatkowski et ...
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Layers of Interpretation: On Grammar and Compositionality
... In this position paper, we have argued that NLP systems would benefit from task-independent seman- tic representations which capture the information in the linguistic signal (i.e. sentence meaning), as a ...
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An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines
... We propose an efficient programming environment for developing parallel NLP systems on shared-memory parallel machines, called the Parallel Substrate for Typed Feature Structures PSTFS..[r] ...
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Compiling HPSG type constraints into definite clause programs
... The result is a gap between the description language theories of HPSG linguists and the definite clause or phrase structure based NLP systems provided to implement these theories.. Most [r] ...
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Medical application using nlp over cloud
... supervised. NLP systems cater access to structured content embedded in coarse medical texts, therefore enabling automated ...related NLP application which can pinpoint the disease on the basis ...
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Extrapolation in NLP
... quently support extrapolation outside the original data from which they were derived. Local models, by their very nature, are less suited to making pre- dictions outside the training manifold, as the influ- ence of those ...
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Leveraging coreference to identify arms in medical abstracts: An experimental study
... entity-centric systems) is used to calculate the maximum number of times the token occurs in a single coreference chain within the same medical abstract (max counts) and the number of chains the token appears in ...
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A Comprehensive Gold Standard for the Enron Organizational Hierarchy
... current NLP- based systems. Current NLP-based systems pre- dict dominance relations between a pair of people by using the language used in email exchanges be- tween these people; if there is ...
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Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems
... (Alfonseca et al., 2007) proposed the WELKIN system that relies on various NLP tech- niques to build adaptive web sites. The system comprises two processing steps, off-line and on-line. The off-line processing ...
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The potential of neuro-linguistic programming in human capital development
... through NLP representation systems, whether it is visual, auditory or ...utilise NLP to learn and interact with each other, more new knowledge, particularly tacit knowledge, is ...the NLP ...
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An Approach towards Automation of Requirements Analysis
... The Artificial Intelligence (AI) subfield of Natural Language Processing (NLP) suggests approaches which may assist software engineers in the analysis of software development [2]. Many researchers have begun to ...
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