Espnet-slu: Advancing spoken language understanding through espnet
As Automatic Speech Processing (ASR) systems are getting better, there is an increasing
interest of using the ASR output to do downstream Natural Language Processing (NLP) …
interest of using the ASR output to do downstream Natural Language Processing (NLP) …
[图书][B] Neural approaches to conversational information retrieval
A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …
with a conversational interface, which allows users to interact with the system to seek …
Few-shot intent classification and slot filling with retrieved examples
Few-shot learning arises in important practical scenarios, such as when a natural language
understanding system needs to learn new semantic labels for an emerging, resource-scarce …
understanding system needs to learn new semantic labels for an emerging, resource-scarce …
Semi-supervised spoken language understanding via self-supervised speech and language model pretraining
Much recent work on Spoken Language Understanding (SLU) is limited in at least one of
three ways: models were trained on oracle text input and neglected ASR errors, models …
three ways: models were trained on oracle text input and neglected ASR errors, models …
Policy-driven neural response generation for knowledge-grounded dialogue systems
Open-domain dialogue systems aim to generate relevant, informative and engaging
responses. Seq2seq neural response generation approaches do not have explicit …
responses. Seq2seq neural response generation approaches do not have explicit …
Neural generation meets real people: Towards emotionally engaging mixed-initiative conversations
We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …
2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is …
A study on the integration of pre-trained ssl, asr, lm and slu models for spoken language understanding
Collecting sufficient labeled data for spoken language understanding (SLU) is expensive
and time-consuming. Recent studies achieved promising results by using pre-trained …
and time-consuming. Recent studies achieved promising results by using pre-trained …
Token-level sequence labeling for spoken language understanding using compositional end-to-end models
End-to-end spoken language understanding (SLU) systems are gaining popularity over
cascaded approaches due to their simplicity and ability to avoid error propagation. However …
cascaded approaches due to their simplicity and ability to avoid error propagation. However …
Gunrock 2.0: A user adaptive social conversational system
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0
combines various neural natural language understanding modules, including named entity …
combines various neural natural language understanding modules, including named entity …
Two-pass low latency end-to-end spoken language understanding
End-to-end (E2E) models are becoming increasingly popular for spoken language
understanding (SLU) systems and are beginning to achieve competitive performance to …
understanding (SLU) systems and are beginning to achieve competitive performance to …