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Found 8 papers, 5 papers with code
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
The English dialogue data are extended to nine other languages with commercial machine translation systems.
Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4
The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic evaluation.
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing
While previous work significantly improves the performance of RST discourse parsing, they are not readily applicable to practical use cases: (1) EDU segmentation is not integrated into most existing tree parsing frameworks, thus it is not straightforward to apply such models on newly-coming data.
Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
While speech evaluation on English has been popular, automatic speech scoring on low resource languages remains challenging.
Coreference-Aware Dialogue Summarization
Summarizing conversations via neural approaches has been gaining research traction lately, yet it is still challenging to obtain practical solutions.
An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations
Document-level discourse parsing, in accordance with the Rhetorical Structure Theory (RST), remains notoriously challenging.
Multilingual Neural RST Discourse Parsing
Text discourse parsing plays an important role in understanding information flow and argumentative structure in natural language.
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
In this paper, we propose a neural framework that can flexibly control summary generation by introducing a set of sub-aspect functions (i. e. importance, diversity, position).
