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Found 6 papers, 1 papers with code
Contrastive Response Pairs for Automatic Evaluation of Non-task-oriented Neural Conversational Models
Responses generated by neural conversational models (NCMs) for non-task-oriented systems are difficult to evaluate.
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data
As one of the NER improvement approaches, multi-task learning that learns a model from multiple training data has been used.
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine Translation
Therefore, we create a benchmark test dataset for Japanese-to-English MLCC-MT from the Newsela corpus by introducing an automatic filtering of data with inappropriate sentence-level complexity, manual check for parallel target language sentences with different complexity levels, and manual translation.
Investigating context features hidden in End-to-End TTS
Recent studies have introduced end-to-end TTS, which integrates the production of context and acoustic features in statistical parametric speech synthesis.
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders
Recursive autoencoders (RAEs) for compositionality of a vector space model were applied to utterance intent classification of a smartphone-based Japanese-language spoken dialogue system.
Joining-in-type Humanoid Robot Assisted Language Learning System
Dialogue robots are attractive to people, and in language learning systems, they motivate learners and let them practice conversational skills in more realistic environment.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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