Papers with character-level representations
Does Character-level Information Always Improve DRS-based Semantic Parsing? (2023.starsem-1)
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| Challenge: | incorporating character-level information does not improve the performance in English and German, and is not sensitive to correct character order in Dutch. |
| Approach: | They propose to incorporate character-level representations into a neural semantic parser for Discourse Representation Structures and to test their performance using order of character sequences. |
| Outcome: | The proposed parser improves in English, German, Dutch, and Italian in four languages. |
SiNER: A Large Dataset for Sindhi Named Entity Recognition (2020.lrec-1)
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| Challenge: | Named entity recognition is an essential lower-level task in natural language processing (NLP). |
| Approach: | They propose to develop a named entity recognition dataset for low-resourced Sindhi language with quality baselines. |
| Outcome: | The proposed dataset is likely to be a significant resource for statistical Sindhi language processing. |
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT (2020.emnlp-main)
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| Challenge: | a new method of analysis based on semantic tags demonstrates that character-level representations improve performance across a subset of selected semantic phenomena. |
| Approach: | They combine character-level and contextual language model representations to improve performance on Discourse Representation Structure parsing. |
| Outcome: | The proposed model improves performance on a subset of selected semantic phenomena. |