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“What Can I Cook with These Ingredients?” - Understanding Cooking-Related Information Needs in Conversational Search
Elsweiler, David; Frummet, Alexander; Ludwig, Bernd. - : Association for Computing Machinery, 2022
Abstract: As conversational search becomes more pervasive, it becomes increasingly important to understand the users’ underlying information needs when they converse with such systems in diverse domains. We conduct an in situ study to understand information needs arising in a home cooking context as well as how they are verbally communicated to an assistant. A human experimenter plays this role in our study. Based on the transcriptions of utterances, we derive a detailed hierarchical taxonomy of diverse information needs occurring in this context, which require different levels of assistance to be solved. The taxonomy shows that needs can be communicated through different linguistic means and require different amounts of context to be understood. In a second contribution, we perform classification experiments to determine the feasibility of predicting the type of information need a user has during a dialogue using the turn provided. For this multi-label classification problem, we achieve average F1 measures of 40 using BERT-based models. We demonstrate with examples which types of needs are difficult to predict and show why, concluding that models need to include more context information in order to improve both information need classification and assistance to make such systems usable.
Keyword: 020 Bibliotheks- und Informationswissenschaft; ddc:020
URL: https://epub.uni-regensburg.de/51990/
https://doi.org/10.1145/3498330
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2
Optimierung der Suchergebnisse bei Swisslex : digitale Lösungsansätze der Angewandten Linguistik zur Modellierung von Semantik ...
Kriele, Christian; Dreesen, Philipp. - : Vereinigung für Angewandte Linguistik in der Schweiz, 2021
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3
The Influence of Multilingualism and Mutual Intelligibility on Wikipedia Reading Behaviour: A Research Proposal ...
Meier, Florian. - : Universität Regensburg, 2021
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4
Sentiment Independent Topic Detection in Rated Hospital Reviews ...
Wartena, Christian; Sander, Uwe; Patzelt, Christiane. - : Association for Computational Linguistics, 2021
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5
Same same, but different ? On the Relation of Information Science and the Digital Humanities A Scientometric Comparison of Academic Journals Using LDA and Hierarchical Clustering ...
Burghardt, Manuel; Luhmann, Jan. - : Universität Regensburg, 2021
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6
Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities ...
Ehrhardt, Jonas; Spinde, Timo; Vardasbi, Ali. - : Universität Regensburg, 2021
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7
SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities ...
Schmidt, Thomas; Dangel, Johanna; Wolff, Christian. - : Universität Regensburg, 2021
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8
Design and Development of an Emoji Sentiment Lexicon ...
Haak, Fabian. - : Universität Regensburg, 2021
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9
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
Fehle, Jakob; Schmidt, Thomas; Wolff, Christian. - : Universität Regensburg, 2021
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10
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures ...
Wartena, Christian. - : Association for Computational Linguistics, 2021
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11
Allgemeines bibliographisches Lexikon ; Bd. 1 : A - L
Ebert, Friedrich Adolf. - : Philipps-Universität Marburg, 2021
In: Drucke 19. Jh. (2021)
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Allgemeines bibliographisches Lexikon ; Bd. 2 : M - Z
Ebert, Friedrich Adolf. - : Philipps-Universität Marburg, 2021
In: Drucke 19. Jh. (2021)
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13
Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
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14
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation
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15
The Influence of Multilingualism and Mutual Intelligibility on Wikipedia Reading Behaviour: A Research Proposal
Meier, Florian. - : Werner Hülsbusch, 2021
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16
Design and Development of an Emoji Sentiment Lexicon
Haak, Fabian. - : Werner Hülsbusch, 2021
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17
SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities
Schmidt, Thomas; Dangel, Johanna; Wolff, Christian. - : Werner Hülsbusch, 2021
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18
Same same, but different ? On the Relation of Information Science and the Digital Humanities A Scientometric Comparison of Academic Journals Using LDA and Hierarchical Clustering
Burghardt, Manuel; Luhmann, Jan. - : Werner Hülsbusch, 2021
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19
Entwicklung und Evaluation eines Tools zur lexikonbasierten Sentiment Analysis für die Digital Humanities
Dangel, Johanna. - 2021
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20
Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities
Ehrhardt, Jonas; Spinde, Timo; Vardasbi, Ali. - : Werner Hülsbusch, 2021
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