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Found 7 papers, 4 papers with code
An Effective Method using Phrase Mechanism in Neural Machine Translation
Machine Translation is one of the essential tasks in Natural Language Processing (NLP), which has massive applications in real life as well as contributing to other tasks in the NLP research community.
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic Parsing
In addition, to prove the generalization of our proposed model, we also conduct extensive experiments on three translation datasets IWLST14 German-English, IWSLT15 Vietnamese-English, WMT14 English-German, and show significant improvement.
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Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022).
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
COLIEE is an annual competition in automatic computerized legal text processing.
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
Ambiguity is a characteristic of natural language, which makes expression ideas flexible.
PhraseTransformer: Self-Attention using Local Context for Semantic Parsing
Semantic parsing is a challenging task whose purpose is to convert a natural language utterance to machine-understandable information representation.
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020.
