Natural Language
Natural Language Input for In Car Spoken Dialog Systems: How Natural is Natural?
... In this paper, our aim is to answer the question of which kind of utterances the natural language understanding component of an SDS must be able to understand from a user perspective. Thereby, ...
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Granularity in Natural Language Discourse
... In this paper we present the phenomenon of granularity as it occurs in natural language texts. We validate our model of granularity with the help of an annotation study. We are currently developing a system ...
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Natural Language Comprehension with the EpiReader
... When humans reason about the world, we tend to for- mulate a variety of hypotheses and counterfactuals, then test them in turn by physical or thought exper- iments. The philosopher Epicurus first formalized this idea in ...
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Exceptionality and Natural Language Learning
... of natural language learning tasks where distinguishing between noise and exceptions and sub- regularities is very hard, this filtering may result in a decrease in ...
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Natural Language Processing with Python.pdf
... RTE, natural language systems that have been deployed for real-world applications still cannot perform common-sense reasoning or draw on world knowledge in a general and robust ...of natural ...
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On the Interpretation of Natural Language Instructions
... ON THE INTERPRETATION OF NATURAL LANGUAGE INSTRUCTIONS O N T H E I N T E R P R E T A T I O N O F N A T U R A L L A N G U A G E I N S T R U C T I O N S Bm'bara Di Eugenio Michael White Department of Co[.] ...
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Adversarial Generation of Natural Language
... One possible direction towards incorporating a sequence-level training objective is to use Gener- ative Adversarial Networks (GANs) (Goodfellow et al., 2014). While GANs have yielded impres- sive results for modeling ...
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Natural Language Inference with Monotonicity
... The best-performing system in the logic-related area of NLI is the one described in Abzianidze (2014, 2015, 2017). That line of work uses tableau rules rather than deduction, as a more standard theorem- prover from ...
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Natural Language Communication with Robots
... ral language commands, with instruction se- quences being subservient to building com- plex goal configurations in a blocks ...grounded natural language ...
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Research in Natural Language Processing
... RESEARCH IN NATURAL LANGUAGE PROCESSING RESEARCH IN NATURAL LANGUAGE PROCESSING University of Pennsylvania Department of Computer and Information Science This a brief report publications FACULTY STUDE[.] ...
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Using Natural Language Interfaces
... Walker and Whittaker (1989) conducted a field study that compared a menu-based and a natural language database query language. The results they report regarding the usefulness of and problems with a ...
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Question Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
... Semantic role labeling (SRL) is the widely stud- ied challenge of recovering predicate-argument structure for natural language words, typically verbs. The goal is to determine “who does what to whom,” ...
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Gemini: A Natural Language System for Spoken Language Understanding
... Gemini A Natural Language System for Spoken Language Understanding Gemini A N a t u r a l Language S y s t e m for Spoken Language Understanding* John Dowding, Jean Mark Gawron, Doug Appelt, John Bear[.] ...
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Reference to numbers in natural language
... in natural language is fundamentally mistaken. Natural language presents a very different view of the ontological status of natural ...numbers. Natural language moreover ...
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Dialogue Natural Language Inference
... estimate the posterior mean and variance for the unobserved scores given the observed scores. We use Pyro (Bingham et al., 2018) and the no-u-turn sampler (Hoffman and Gelman, 2014) for poste- rior inference. See ...
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A. Natural Language Interfaces to Databases
... enter natural language to retrieve information from a database, the ability to refine or continue with a query’s results and the ability to rectify or log ...
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A Natural Language Architecture
... programming language is complex and less interesting because of the re- quirement for core knowledge of the language ...of natural language. Nat- ural Language Processing ( NLP ) ...
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NLP (Natural Language Processing) for NLP (Natural Language Programming)
... the natural languages which are understood by ...turn natural into programming languages will even- tually decrease the gap between very few and all, and open the benefits of computer programming to a ...
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Natural language processing
... A number of tracks (research groups or themes) in the TREC series of experiments deal directly or indirectly with NLP and information retrieval, such as the cross-language track, filtering track, interactive ...
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E-SNLI: Natural language inference with natural language explanations
... Natural language explanations In our work, we have taken a step further and built a neural network that is able to directly provide full-sentence natural language ...outputting natural ...
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