Adaprompt: Adaptive model training for prompt-based nlp
Prompt-based learning, with its capability to tackle zero-shot and few-shot NLP tasks, has
gained much attention in community. The main idea is to bridge the gap between NLP …
gained much attention in community. The main idea is to bridge the gap between NLP …
Exploiting Abstract Meaning Representation for open-domain question answering
The Open-Domain Question Answering (ODQA) task involves retrieving and subsequently
generating answers from fine-grained relevant passages within a database. Current systems …
generating answers from fine-grained relevant passages within a database. Current systems …
Exploration and comparison of diverse approaches for integrating syntactic knowledge into AMR parsing
Y Sataer, Z Gao, Y Fan, B Li, M Gao, C Shi - Applied Intelligence, 2023 - Springer
Abstract Abstract Meaning Representation (AMR) parsing aims to translate sentences to
semantic AMR graphs and has recently been empowered by pre-trained Transformer …
semantic AMR graphs and has recently been empowered by pre-trained Transformer …
StructSP: Efficient Fine-tuning of Task-Oriented Dialog System by Using Structure-aware Boosting and Grammar Constraints
We have investigated methods utilizing hierarchical structure information representation in
the semantic parsing task and have devised a method that reinforces the semantic …
the semantic parsing task and have devised a method that reinforces the semantic …
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts
User-generated texts available on the web and social platforms are often long and
semantically challenging, making them difficult to annotate. Obtaining human annotation …
semantically challenging, making them difficult to annotate. Obtaining human annotation …
Cross-domain generalization for AMR parsing
Meaning Representation (AMR) parsing aims to predict an AMR graph from textual input.
Recently, there has been notable growth in AMR parsing performance. However, most …
Recently, there has been notable growth in AMR parsing performance. However, most …
[PDF][PDF] An Efficient Fine-tuning Method for Hierarchical Semantic Parsing in Task-Oriented Dialog System by Structure-aware Boosting and Grammar Constraints
DT Do - 2023 - dspace.jaist.ac.jp
Task-oriented dialogue (TOD) systems have become increasingly crucial in various
domains, providing efficient and appropriate interactions with users to perform specific tasks …
domains, providing efficient and appropriate interactions with users to perform specific tasks …