topic tracking
Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions
... Recently, we have proposed to explore domain knowledge from Wikipedia for mixed-initiative di- alogue topic tracking without significant costs for building resources (Kim et al., 2014a; Kim et al., 2014b). ...
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Using Bilingual Comparable Corpora and Semi supervised Clustering for Topic Tracking
... materials. Topic Track- ing defined by the TDT project is a research area to attack the ...target topic. Here, a topic in the TDT con- text is something that happens at a specific place and time ...
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Multilingual and cross lingual news topic tracking
... cross-lingual topic tracking are rather ...the topic tracking resulted in a 50% performance loss, com- pared to monolingual topic ...
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Exploring Convolutional and Recurrent Neural Networks in Sequential Labelling for Dialogue Topic Tracking
... state tracking which is the main task of the challenge, each dialogue session is divided into sub-dialogues and each seg- ment is assigned with its topic ...the topic- specific frame structure with ...
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A probabilistic method for emerging topic tracking in Microblog stream
... Cup. Tracking emerging topics not only can help us understand what things are drawing public attention, but also is beneficial for related organizations to draw up countermeasures ...emerging topic ...
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Topic Tracking Based on Linguistic Features
... for topic tracking on newspaper articles: named entities and headline ...for topic tracking, since both topic and event are related to a specific place and time in a ...the ...
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A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia
... dialog topic tracking ap- proaches made use of external knowledge sources including domain models (Roy and Subramaniam, 2006), heuristics (Young et ...dialog topic tracking without significant ...
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Tracking unbounded Topic Streams
... ments arriving from a stream are seen as queries and the closest topics are the nearest neighbours to be identified. We explore locality sensitive hash- ing (LSH), as described by Indyk et al. (1998), to approach high ...
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Web Content Mining Techniques: A Survey
... Topic Tracking is a technique in which it checks the documents viewed by the user and studies the user ...In Topic Tracking applied by yahoo, user can give a keyword and if anything related ...
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Web Information Mining and Decision Support Platform for the Modern Service Industry
... 3.1 Topic Detection and Opinion Mining Figure 2(a) showed the results of topic detection and opinion mining functions for a Hong Kong local financial company Sun Hung Kai Proper- ties ...of topic ...
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The Link Between Topic Work and Intrinsic Motivation
... between topic work, as a teaching and learning method based on the philosophy of open classrooms and pupil's ...motivation. Topic work, as a methodology emerged in our school after 1990's, to support ...
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The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
... measured topic coherence correlates negatively with model ...given topic and users are asked to identify the intruder ...the topic, the more clearly the intruder word should be an ...
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Layered performance modelling and evaluation for cloud topic detection and tracking based big data applications
... “Big Data” best characterized by its three features namely “Variety”, “Volume” and “Velocity” is revolutionizing nearly every aspect of our lives ranging from enterprises to consumers, from science to government. A ...
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Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression
... as topic and sentiment modelling, to online ther- apy for depression and ...discussion topic and sentiment; however, measures of pa- tient progress are captured only by finer- grained lexical features, ...
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Best Topic Word Selection for Topic Labelling
... independent topic model (based on a completely unrelated document col- lection), and apply them to successfully model the best topic word for a new topic model, without requiring any additional ...
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Topic Segmentation with a Structured Topic Model
... into topic segments may reveal in- formation about, for example, themes of segments and the overall thematic structure of the text, and can subsequently be useful for text analysis tasks, such as information ...
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Multilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation
... The topic would also include; the declaration of a Federal Disaster Area, victims and losses, rebuilding, any predictions that were made, evacuation and relief ...
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Semantic Language Models for Topic Detection and Tracking
... In this work, we have presented a novel approach for link detection task of TDT. The new approach has three key ideas, namely modeling the relative importance of terms by their semantic classes through a new semantic ...
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Topic detection and tracking on heterogeneous information
... of topic k appearing in a feed on both collections. For each topic in the set, we then select the terms of the highest p(w | z) ...For topic 1, although different models select slightly different ...
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Topic detection and tracking on heterogeneous information
... of topic k appearing in a feed on both collections. For each topic in the set, we then select the terms of the highest p(w | z) ...For topic 1, although different models select slightly different ...
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