Papers with dictionary-based approach
Hybrid Models for Aspects Extraction without Labelled Dataset (D19-66)
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| Challenge: | Existing methods to extract aspects from opinions focus on explicit aspects, but sentences do not state them explicitly. |
| Approach: | They propose to use a dictionary-based approach to identify and extract aspects from opinions . they propose to combine topic modelling and dictionary--based method . |
| Outcome: | The proposed models outperform baseline topic model and dictionary-based approach in 58.70% of the evaluations. |
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis Treatment (2022.lrec-1)
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| Challenge: | Named Entity Recognition (NER) is an important task in information extraction. |
| Approach: | They construct a labelled NER corpus of Vietnamese academic biomedical text . they annotate documents with five categories of named entities: Organisation, Location, Date and Time, Symptom and Disease, and Diagnostic Procedure. |
| Outcome: | The proposed system could provide answers to questions related to TB in Vietnamese . the system could also be used to identify TB-related diseases in the country . |
Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach (L18-1)
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| Challenge: | Automatic identification of Arabic dialects in texts is difficult, especially for Maghreb languages and when they are written in Arabic or Latin characters (Arabizi). |
| Approach: | They propose a dictionary-based approach to detect Arabic dialects in texts . they focus on transliteration of Arabicizi into Latin script and code-switching . |
| Outcome: | The proposed approach shows that it is possible to detect dialects in Arabic and Latin scripts. |
Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries (2025.findings-acl)
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Haruki Sakajo, Yusuke Ide, Justin Vasselli, Yusuke Sakai, Yingtao Tian, Hidetaka Kamigaito, Taro Watanabe
| Challenge: | Existing approaches to cross-lingual vocabulary transfer face challenges when dealing with low-resource languages. |
| Approach: | They propose a dictionary-based crosslingual vocabulary transfer method that leverages bilingual dictionaries, which are available for many languages thanks to descriptive linguists. |
| Outcome: | The proposed method outperforms existing methods for low-resource languages. |