Abstract:
This paper presents the NewsTeller system which retrieves a news event based on a user query and the user's general interests. It can be used by a social dialog system to...Show MoreMetadata
Abstract:
This paper presents the NewsTeller system which retrieves a news event based on a user query and the user's general interests. It can be used by a social dialog system to initiate news-related small talk. The NewsTeller system is implemented as a pipeline with four stages: After collecting a large set of potentially relevant news events, a classifier is used to filter out malformed events. The remaining events are then ranked according to a relevance value predicted by a regressor. In a final step, a short summary of the highest-ranked event is generated and returned to the user. Both the classifier and the regressor were evaluated on hand-labeled data sets. In addition to this, a user study was conducted to further validate the system. Evaluation results indicate that the proposed approach performs significantly better than a random baseline.
Published in: Speech Communication; 12. ITG Symposium
Date of Conference: 05-07 October 2016
Date Added to IEEE Xplore: 08 December 2016
Print ISBN:978-3-8007-4275-2
Conference Location: Paderborn, Germany
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- Index Terms
- Social Systems ,
- News Events ,
- Small Talk ,
- Dialogue System ,
- Relevant Effects ,
- User Study ,
- General Interest ,
- User Interest ,
- Random Baseline ,
- Random Forest ,
- Cohen’s Kappa ,
- F1 Score ,
- Random Forest Classifier ,
- Event Detection ,
- Information Retrieval ,
- Class Imbalance ,
- News Articles ,
- Word Embedding ,
- Recommender Systems ,
- Barack Obama ,
- Learning To Rank ,
- Regression-based Approach ,
- Random Forest Regression ,
- Ranking Problem ,
- Karlsruhe Institute Of Technology ,
- Balanced Accuracy ,
- Recall Of Class
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- Index Terms
- Social Systems ,
- News Events ,
- Small Talk ,
- Dialogue System ,
- Relevant Effects ,
- User Study ,
- General Interest ,
- User Interest ,
- Random Baseline ,
- Random Forest ,
- Cohen’s Kappa ,
- F1 Score ,
- Random Forest Classifier ,
- Event Detection ,
- Information Retrieval ,
- Class Imbalance ,
- News Articles ,
- Word Embedding ,
- Recommender Systems ,
- Barack Obama ,
- Learning To Rank ,
- Regression-based Approach ,
- Random Forest Regression ,
- Ranking Problem ,
- Karlsruhe Institute Of Technology ,
- Balanced Accuracy ,
- Recall Of Class
