Search Results for author:
Found 15 papers, 1 papers with code
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation
In this framework, we further pre-train mBART sequence-to-sequence denoising auto-encoder model with an auxiliary task using monolingual data of three languages.
Diverse dialogue generation with context dependent dynamic loss function
Dialogue systems using deep learning have achieved generation of fluent response sentences to user utterances.
Multiple News Headlines Generation using Page Metadata
We suggest automatic generation method of such a diverse multiple headlines in a newspaper.
Japanese Advertising Slogan Generator using Case Frame and Word Vector
There has been many works published for automatic sentence generation of a variety of domains.
De-identifying Free Text of Japanese Dummy Electronic Health Records
Our result shows that our LSTM-based method is better and robust, which leads to our future work that plans to apply our system to actual de-identification tasks in hospitals.
MedNLPDoc: Japanese Shared Task for Clinical NLP
Due to the recent replacements of physical documents with electronic medical records (EMR), the importance of information processing in medical fields has been increased.
Answering Yes-No Questions by Penalty Scoring in History Subjects of University Entrance Examinations
Then we use an objectionable keyword penalty when a keyword does not appear in a target part but appears in other parts of the document.
Inference of ICD Codes from Japanese Medical Records by Searching Disease Names
We aim to assign international standardized disease codes, ICD-10, to Japanese textual information in EHRs for users to reuse the information accurately.
Between Platform and APIs: Kachako API for Developers
While an interoperability framework is useful in certain cases, some types of users will not select the framework due to the learning cost and design restrictions.
Towards automation in using multi-modal language resources: compatibility and interoperability for multi-modal features in Kachako
Use of language resources including annotated corpora and tools is not easy for users, as it requires expert knowledge to determine which resources are compatible and interoperable.
Overview of BioNLP’09 Shared Task on Event Extraction
The paper presents the design and implementation of the BioNLP’09 Shared Task, and reports the final results with analysis.
