70 citations · 180 across the 53 of their papers we have counts for
5 papers · 1 filter
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Recently, leveraging pre-trained Transformer based language models in down stream, task specific models has advanced state of the art results in natural language understanding task…
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
Ekta Sood, Simon Tannert, Diego Frassinelli +2
While neural networks with attention mechanisms have achieved superior performance on many natural language processing tasks, it remains unclear to which extent learned attention r…
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
Explainable question answering systems predict an answer together with an explanation showing why the answer has been selected. The goal is to enable users to assess the correctnes…
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning
Pavel Denisov, Ngoc Thang Vu
Spoken language understanding is typically based on pipeline architectures including speech recognition and natural language understanding steps. These components are optimized ind…
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
Chia-Yu Li, Daniel Ortega, Dirk Väth +9
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g.…