Papers with phrase tables
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation (D19-56)
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| Challenge: | Neural machine translation (NMT) often fails in one-to-many translation, e.g., in the translation of multi-word expressions, compounds, and collocations. |
| Approach: | They propose a phrase-based NMT model that generates embeddings of words or phrases. |
| Outcome: | The proposed model performs on par with state-of-the-art phrase-based NMT. |
Hybrid of Spans and Table-Filling for Aspect-Level Sentiment Triplet Extraction (2024.lrec-main)
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| Challenge: | Aspect Sentiment Triplet Extraction (ASTE) is an emerging task in sentiment analysis research. |
| Approach: | They propose a model which combines span with table-filling to extract triplets from words . they use syntactic and contextual features to generate word-pair tables and convert them to span tables . |
| Outcome: | The proposed model achieves competitive results on a dataset with a large dataset. |