Understanding user's query intent with wikipedia

By Jian Hu, G. Wang, Frederick H. Lochovsky, Zheng Chen. The Web Conference, 2009

324 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/62565909c930212b8236f519b8b0ac23df5c4a90

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Citations in the corpus

Reconstructing Capsule Networks for Zero-shot Intent Classification (2019, background): “Conventional intent classification methods (Hu et al., 2009; Tur et al., 2012; Xu and Sarikaya, 2013; Ravuri and Stolcke, 2015; Liu and Lane, 2016; Nam et al., 2016) typically train a supervised learning model on large amounts of labeled data, and are not effective in recognizing emerging unseen int”
Sequence-Aware Recommender Systems (2018, methodology): “ase? To address these questions, future works could for example consider existing works in the field ofquery intent understanding from the information retrieval field, using, e.g., external knowledge [49]. In addition, research could build on existing theories from other fields like Marketing, where”
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets (2015, background): “2009; Kang and Kim 2003); and the other type is classifying queries according to the user intent, such as “jobs” or “travel” (Hu et al. 2009; Shen et al. 2006; Beitzel et al. 2007; Li, Wang, and Acero 2008).”
Zero-shot User Intent Detection via Capsule Neural Networks (2018, background): “With recent developments in deep neural networks, user intent detection models (Hu et al., 2009; Xu and Sarikaya, 2013; Zhang et al., 2016; Liu and Lane, 2016; Chen et al., 2016b) are proposed to classify user intents given their diversely ∗Indicates Equal Contribution expressed utterances in the…”
Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning (2018, background): “Hu et al. [14] proposed to incorporate Wikipedia data for intent detection.”
Identifying Intention Posts in Discussion Forums (2013, background): “Although we have not found any paper studying intention classification of social media posts, there are some related works in the domain of Web search, where user or query intent classification is a major issue (Hu et al., 2009; Li, 2010; Li et al., 2008).”
Composed Variational Natural Language Generation for Few-shot Intents (2020, background): “Most existing works (Hu et al., 2009; Xu and Sarikaya, 2013; Chen et al., 2016; Xia et al., 2018) formulate intent detection as a classification task and achieve high performance on pre-defined intents with sufficient labeled examples.”
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification (2020, background): “Great effort has been made to understand user intent across various domains, ranging from search engine questions (Hu et al., 2009) to medical queries (Zhang et al., 2016).”
Joint Slot Filling and Intent Detection via Capsule Neural Networks (2018, background): “Intent Detection With recent developments in deep neural networks, user intent detection models (Hu et al., 2009; Xu and Sarikaya, 2013; Zhang et al., 2016; Liu and Lane, 2016; Zhang et al., 2017; Chen et al., 2016; Xia et al., 2018) are proposed to classify user intents given their diversely expres”