Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894550834> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2894550834 abstract "Robots, virtual assistants, and other intelligent agents need to effectively interpret verbal references to environmental objects in order to successfully interact and collaborate with humans in complex tasks. However, object disambiguation can be a challenging task due to ambiguities in natural language. To reduce uncertainty when describing an object, humans often use a combination of unique object features and locative prepositions --prepositional phrases that describe where an object is located relative to other features (i.e., reference objects) in a scene. We present a new system for object disambiguation in cluttered environments based on probabilistic models of unique object features and spatial relationships. Our work extends prior models of spatial relationship semantics by collecting and encoding empirical data from a series of crowdsourced studies to better understand how and when people use locative prepositions, how reference objects are chosen, and how to model prepositional geometry in 3D space (e.g., capturing distinctions between next to and beside). Our approach also introduces new techniques for responding to compound locative phrases of arbitrary complexity and proposes a new metric for disambiguation confidence. An experimental validation revealed our method can improve object disambiguation accuracy and performance over past approaches." @default.
- W2894550834 created "2018-10-12" @default.
- W2894550834 creator A5022990268 @default.
- W2894550834 creator A5024581242 @default.
- W2894550834 date "2018-10-02" @default.
- W2894550834 modified "2023-10-14" @default.
- W2894550834 title "Improving Object Disambiguation from Natural Language using Empirical Models" @default.
- W2894550834 cites W1496918241 @default.
- W2894550834 cites W1905083246 @default.
- W2894550834 cites W2024271606 @default.
- W2894550834 cites W2036765125 @default.
- W2894550834 cites W2047214762 @default.
- W2894550834 cites W2100237704 @default.
- W2894550834 cites W2107537133 @default.
- W2894550834 cites W2135643110 @default.
- W2894550834 cites W2141708418 @default.
- W2894550834 cites W2147191817 @default.
- W2894550834 cites W2160852876 @default.
- W2894550834 cites W2167150807 @default.
- W2894550834 cites W4249597660 @default.
- W2894550834 doi "https://doi.org/10.1145/3242969.3243025" @default.
- W2894550834 hasPublicationYear "2018" @default.
- W2894550834 type Work @default.
- W2894550834 sameAs 2894550834 @default.
- W2894550834 citedByCount "3" @default.
- W2894550834 countsByYear W28945508342019 @default.
- W2894550834 countsByYear W28945508342021 @default.
- W2894550834 countsByYear W28945508342023 @default.
- W2894550834 crossrefType "proceedings-article" @default.
- W2894550834 hasAuthorship W2894550834A5022990268 @default.
- W2894550834 hasAuthorship W2894550834A5024581242 @default.
- W2894550834 hasConcept C138885662 @default.
- W2894550834 hasConcept C154945302 @default.
- W2894550834 hasConcept C162324750 @default.
- W2894550834 hasConcept C176217482 @default.
- W2894550834 hasConcept C184337299 @default.
- W2894550834 hasConcept C187736073 @default.
- W2894550834 hasConcept C195324797 @default.
- W2894550834 hasConcept C197644857 @default.
- W2894550834 hasConcept C199360897 @default.
- W2894550834 hasConcept C204321447 @default.
- W2894550834 hasConcept C21547014 @default.
- W2894550834 hasConcept C2780451532 @default.
- W2894550834 hasConcept C2781238097 @default.
- W2894550834 hasConcept C41008148 @default.
- W2894550834 hasConcept C41895202 @default.
- W2894550834 hasConcept C49937458 @default.
- W2894550834 hasConceptScore W2894550834C138885662 @default.
- W2894550834 hasConceptScore W2894550834C154945302 @default.
- W2894550834 hasConceptScore W2894550834C162324750 @default.
- W2894550834 hasConceptScore W2894550834C176217482 @default.
- W2894550834 hasConceptScore W2894550834C184337299 @default.
- W2894550834 hasConceptScore W2894550834C187736073 @default.
- W2894550834 hasConceptScore W2894550834C195324797 @default.
- W2894550834 hasConceptScore W2894550834C197644857 @default.
- W2894550834 hasConceptScore W2894550834C199360897 @default.
- W2894550834 hasConceptScore W2894550834C204321447 @default.
- W2894550834 hasConceptScore W2894550834C21547014 @default.
- W2894550834 hasConceptScore W2894550834C2780451532 @default.
- W2894550834 hasConceptScore W2894550834C2781238097 @default.
- W2894550834 hasConceptScore W2894550834C41008148 @default.
- W2894550834 hasConceptScore W2894550834C41895202 @default.
- W2894550834 hasConceptScore W2894550834C49937458 @default.
- W2894550834 hasLocation W28945508341 @default.
- W2894550834 hasOpenAccess W2894550834 @default.
- W2894550834 hasPrimaryLocation W28945508341 @default.
- W2894550834 hasRelatedWork W159132833 @default.
- W2894550834 hasRelatedWork W2028329179 @default.
- W2894550834 hasRelatedWork W2293457016 @default.
- W2894550834 hasRelatedWork W2368816412 @default.
- W2894550834 hasRelatedWork W2502722637 @default.
- W2894550834 hasRelatedWork W2753961696 @default.
- W2894550834 hasRelatedWork W2977842567 @default.
- W2894550834 hasRelatedWork W3198474835 @default.
- W2894550834 hasRelatedWork W87581401 @default.
- W2894550834 hasRelatedWork W1872130062 @default.
- W2894550834 isParatext "false" @default.
- W2894550834 isRetracted "false" @default.
- W2894550834 magId "2894550834" @default.
- W2894550834 workType "article" @default.