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Found 11 papers, 0 papers with code
Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization
Social media texts, such as tweets from Twitter, contain many types of non-standard tokens, and the number of normalization approaches for handling such noisy text has been increasing.
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels
In this study, we investigated the effectiveness of augmented data for encoder-decoder-based neural normalization models.
Hyperspherical Query Likelihood Models with Word Embeddings
In addition, this paper reveals relationships between hyperspherical QLMs and conventional QLMs.
A Hierarchical Neural Network for Information Extraction of Product Attribute and Condition Sentences
This paper describes a hierarchical neural network we propose for sentence classification to extract product information from product documents.
Name Translation based on Fine-grained Named Entity Recognition in a Single Language
We propose named entity abstraction methods with fine-grained named entity labels for improving statistical machine translation (SMT).
Extraction of Daily Changing Words for Question Answering
This paper proposes a method for extracting Daily Changing Words (DCWs), words that indicate which questions are real-time dependent.
Constructing a Class-Based Lexical Dictionary using Interactive Topic Models
This paper proposes a new method of constructing arbitrary class-based related word dictionaries on interactive topic models; we assume that each class is described by a topic.
