Papers by Sander Wubben
Aspect-based summarization of pros and cons in unstructured product reviews (C18-1)
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| Challenge: | SynPat, a system based on syntactic phrases selected on the basis of valence scores, and a neural-network-based system trained on clusters of word-embedding encodings of similar pros and cons are compared to SynPat. |
| Approach: | They propose to use syntactic phrases selected on the basis of valence scores to generate pros and cons summaries. |
| Outcome: | The proposed systems outperform the baseline systems on held-out reviews with gold-standard pros and cons and on human annotators on relevance and completeness. |
Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer (C18-1)
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| Challenge: | PASS is a data-to-text system that generates Dutch soccer reports from match statistics which are automatically tailored towards fans of one club or the other. |
| Approach: | They propose to evaluate PASS, a data-to-text system that generates Dutch soccer reports from match statistics which are automatically tailored towards fans of one club or the other. |
| Outcome: | The proposed system generates Dutch soccer reports automatically tailored to fans of one club or the other. |
NeuralREG: An end-to-end approach to referring expression generation (P18-1)
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| Challenge: | Referring Expression Generation models typically rely on features such as salience and grammatical function to make decisions about form and content. |
| Approach: | They propose a new approach that makes decisions about form and content in one go . they use a delexicalized version of the WebNLG corpus to test the approach . |
| Outcome: | The proposed approach significantly improves over two strong baselines. |