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12 papers · 2 filters
Sequence-level self-learning with multiple hypotheses
Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur +4
In this work, we develop new self-learning techniques with an attention-based sequence-to-sequence (seq2seq) model for automatic speech recognition (ASR). For untranscribed speech…
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal, Karthick Gunasekaran, Tong Wang +2
Meta-learning considers the problem of learning an efficient learning process that can leverage its past experience to accurately solve new tasks. However, the efficacy of meta-lea…
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Harsh Jhamtani, Varun Gangal, Eduard Hovy +1
Humans often employ figurative language use in communication, including during interactions with dialog systems. Thus, it is important for real-world dialog systems to be able to h…
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
Task-oriented conversational systems often use dialogue state tracking to represent the user's intentions, which involves filling in values of pre-defined slots. Many approaches ha…
The Emergence of the Shape Bias Results from Communicative Efficiency
Eva Portelance, Michael C. Frank, Dan Jurafsky +2
By the age of two, children tend to assume that new word categories are based on objects' shape, rather than their color or texture; this assumption is called the shape bias. They…
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin +2
Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response. Namely, for cases whe…