Minghua Nuo

Also published as: Ming Hua Nuo


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Hybrid of Spans and Table-Filling for Aspect-Level Sentiment Triplet Extraction
Minghua Nuo | Chaofan Guo
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research. Recently, researchers have proposed different tagging schemes, containing tagging of words, tagging of word pairs, and tagging of spans. However, the first two of these methods are often insufficient for the identification of multi-word terms, while the span tagging can label the entire phrase span, but it lacks the interactive information between words. In this paper, we propose Span in Table(S&T) model which combining span with table-filling. Specifically, S&T model achieve full fusion of syntactic and contextual features through cross-attention and generate the structures of word-pair table through Biaffine. Then, our model converts it to a span table by computing semantic distance based on syntactic dependency tree, which can enrich each unit of span table with semantic and interactive information. Meanwhile, the initial sentence features are constructed as simple phrase tables to enhance textual information of the phrase itself. In decoding, we define 8 types of labels for identifying three dimensions including aspect, opinion, and sentiment. Finally, the extensive experiments on D2 dataset show S&T model achieves competitive results in ASTE task, the results certify the effectiveness and robustness of our S&T model.


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Attention-based BLSTM-CRF Architecture for Mongolian Named Entity Recognition
Yuzhu Xiong | Minghua Nuo
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation


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Tibetan Unknown Word Identification from News Corpora for Supporting Lexicon-based Tibetan Word Segmentation
Minghua Nuo | Huidan Liu | Congjun Long | Jian Wu
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)


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Zipf’s Law and Statistical Data on Modern Tibetan
Huidan Liu | Minghua Nuo | Jian Wu
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers


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Building Large Scale Text Corpus for Tibetan Natural Language Processing by Extracting Text from Web Pages
Huidan Liu | Minghua Nuo | Jian Wu | Yeping He
Proceedings of the 10th Workshop on Asian Language Resources

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Tibetan Base Noun Phrase Identification Framework Based on Chinese-Tibetan Sentence Aligned Corpus
Ming Hua Nuo | Hui Dan Liu | Wei Na Zhao | Long Long Ma | Jian Wu | Zhi Ming Ding
Proceedings of COLING 2012


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Tibetan Word Segmentation as Syllable Tagging Using Conditional Random Field
Huidan Liu | Minghua Nuo | Longlong Ma | Jian Wu | Yeping He
Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation

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Compression Methods by Code Mapping and Code Dividing for Chinese Dictionary Stored in a Double-Array Trie
Huidan Liu | Minghua Nuo | Longlong Ma | Jian Wu | Yeping He
Proceedings of 5th International Joint Conference on Natural Language Processing


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Tibetan Number Identification Based on Classification of Number Components in Tibetan Word Segmentation
Huidan Liu | Weina Zhao | Minghua Nuo | Li Jiang | Jian Wu | Yeping He
Coling 2010: Posters