FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387303501> ?p ?o ?g. }

• W4387303501 abstract "Conversational search systems can improve user experience in digital libraries by facilitating a natural and intuitive way to interact with library content. However, most conversational search systems are limited to performing simple tasks and controlling smart devices. Therefore, there is a need for systems that can accurately understand the user's information requirements and perform the appropriate search activity. Prior research on intelligent systems suggested that it is possible to comprehend the functional aspect of discourse (search intent) by identifying the speech acts in user dialogues. In this work, we automatically identify the speech acts associated with spoken utterances and use them to predict the system-level search actions. First, we conducted a Wizard-of-Oz study to collect data from 75 search sessions. We performed thematic analysis to curate a gold standard dataset - containing 1,834 utterances and 509 system actions - of human-system interactions in three information-seeking scenarios. Next, we developed attention-based deep neural networks to understand natural language and predict speech acts. Then, the speech acts were fed to the model to predict the corresponding system-level search actions. We also annotated a second dataset to validate our results. For the two datasets, the best-performing classification model achieved maximum accuracy of 90.2% and 72.7% for speech act classification and 58.8% and 61.1 %, respectively, for search act classification." @default.
• W4387303501 created "2023-10-04" @default.
• W4387303501 creator A5050277461 @default.
• W4387303501 creator A5054015057 @default.
• W4387303501 creator A5061319881 @default.
• W4387303501 date "2023-06-01" @default.
• W4387303501 modified "2023-10-06" @default.
• W4387303501 title "Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks" @default.
• W4387303501 cites W153133746 @default.
• W4387303501 cites W1548204228 @default.
• W4387303501 cites W155915536 @default.
• W4387303501 cites W1564497653 @default.
• W4387303501 cites W1566289585 @default.
• W4387303501 cites W1576867306 @default.
• W4387303501 cites W1969285912 @default.
• W4387303501 cites W1979290264 @default.
• W4387303501 cites W1993760471 @default.
• W4387303501 cites W1997409551 @default.
• W4387303501 cites W2043751824 @default.
• W4387303501 cites W2069049590 @default.
• W4387303501 cites W2069958126 @default.
• W4387303501 cites W2079600120 @default.
• W4387303501 cites W2094075152 @default.
• W4387303501 cites W2101890023 @default.
• W4387303501 cites W2108266313 @default.
• W4387303501 cites W2128970689 @default.
• W4387303501 cites W2131774270 @default.
• W4387303501 cites W2136194210 @default.
• W4387303501 cites W2138354672 @default.
• W4387303501 cites W2171593626 @default.
• W4387303501 cites W2285428757 @default.
• W4387303501 cites W2336203772 @default.
• W4387303501 cites W2339852062 @default.
• W4387303501 cites W2341328702 @default.
• W4387303501 cites W2405187948 @default.
• W4387303501 cites W2470673105 @default.
• W4387303501 cites W2535082198 @default.
• W4387303501 cites W2590822507 @default.
• W4387303501 cites W2592224602 @default.
• W4387303501 cites W2610551042 @default.
• W4387303501 cites W2789636569 @default.
• W4387303501 cites W2791808303 @default.
• W4387303501 cites W2791973423 @default.
• W4387303501 cites W2805773895 @default.
• W4387303501 cites W2808440041 @default.
• W4387303501 cites W2843010082 @default.
• W4387303501 cites W2888302696 @default.
• W4387303501 cites W2898076813 @default.
• W4387303501 cites W2922097976 @default.
• W4387303501 cites W2950370543 @default.
• W4387303501 cites W2954927170 @default.
• W4387303501 cites W2955687982 @default.
• W4387303501 cites W2962985038 @default.
• W4387303501 cites W2963550483 @default.
• W4387303501 cites W2963609889 @default.
• W4387303501 cites W2964112275 @default.
• W4387303501 cites W2966000157 @default.
• W4387303501 cites W2972160336 @default.
• W4387303501 cites W2979826702 @default.
• W4387303501 cites W2987293115 @default.
• W4387303501 cites W2988157054 @default.
• W4387303501 cites W3003611599 @default.
• W4387303501 cites W3004092718 @default.
• W4387303501 cites W3013860672 @default.
• W4387303501 cites W3034649133 @default.
• W4387303501 cites W3035473672 @default.
• W4387303501 cites W3100110884 @default.
• W4387303501 cites W3101904655 @default.
• W4387303501 cites W3103118054 @default.
• W4387303501 cites W3104671300 @default.
• W4387303501 cites W3105690102 @default.
• W4387303501 cites W3135098253 @default.
• W4387303501 cites W3150842384 @default.
• W4387303501 cites W3193746305 @default.
• W4387303501 cites W3197018105 @default.
• W4387303501 cites W3197654657 @default.
• W4387303501 cites W3207528421 @default.
• W4387303501 cites W3209431991 @default.
• W4387303501 cites W3211795293 @default.
• W4387303501 cites W4205671217 @default.
• W4387303501 cites W4220705300 @default.
• W4387303501 cites W4224219410 @default.
• W4387303501 cites W4226059645 @default.
• W4387303501 cites W4229672121 @default.
• W4387303501 cites W4235073904 @default.
• W4387303501 cites W4243850163 @default.
• W4387303501 doi "https://doi.org/10.1109/jcdl57899.2023.00027" @default.
• W4387303501 hasPublicationYear "2023" @default.
• W4387303501 type Work @default.
• W4387303501 citedByCount "0" @default.
• W4387303501 crossrefType "proceedings-article" @default.
• W4387303501 hasAuthorship W4387303501A5050277461 @default.
• W4387303501 hasAuthorship W4387303501A5054015057 @default.
• W4387303501 hasAuthorship W4387303501A5061319881 @default.
• W4387303501 hasConcept C107457646 @default.
• W4387303501 hasConcept C154945302 @default.
• W4387303501 hasConcept C195324797 @default.
• W4387303501 hasConcept C204321447 @default.
• W4387303501 hasConcept C23123220 @default.
• W4387303501 hasConcept C2779439875 @default.

• next