Multilingual BERT post-pretraining alignment
We propose a simple method to align multilingual contextual embeddings as a post-pretraining
step for improved zero-shot cross-lingual transferability of the pretrained models. Using …
step for improved zero-shot cross-lingual transferability of the pretrained models. Using …
Benchmarking commercial intent detection services with practice-driven evaluations
Intent detection is a key component of modern goal-oriented dialog systems that accomplish
a user task by predicting the intent of users' text input. There are three primary challenges in …
a user task by predicting the intent of users' text input. There are three primary challenges in …
Distinguish sense from nonsense: Out-of-scope detection for virtual assistants
Out of Scope (OOS) detection in Conversational AI solutions enables a chatbot to handle a
conversation gracefully when it is unable to make sense of the end-user query. Accurately …
conversation gracefully when it is unable to make sense of the end-user query. Accurately …
Practical token pruning for foundation models in few-shot conversational virtual assistant systems
H Qi, C Qian, J Ni, P Singh, R Fazeli, G Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
In an enterprise Virtual Assistant (VA) system, intent classification is the crucial component
that determines how a user input is handled based on what the user wants. The VA system is …
that determines how a user input is handled based on what the user wants. The VA system is …
Benchmarking language-agnostic intent classification for virtual assistant platforms
Current virtual assistant (VA) platforms are beholden to the limited number of languages
they support. Every component, such as the tokenizer and intent classifier, is engineered for …
they support. Every component, such as the tokenizer and intent classifier, is engineered for …
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants
We present an approach to build Large Language Model (LLM) based slot-filling system to
perform Dialogue State Tracking in conversational assistants serving across a wide variety of …
perform Dialogue State Tracking in conversational assistants serving across a wide variety of …
An Optimized Edge-Focused Siamese Network for Monitoring New Illegal Buildings Using Satellite Images
H Du, Z Huang, Y Zhang - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Illegal construction is a common problem often encountered by cities with rapid development,
which is hard to deal with for multiple reasons. Although these illegal buildings are …
which is hard to deal with for multiple reasons. Although these illegal buildings are …
An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants
We present an approach to build Large Language Model (LLM) based slot-filling system to
perform Dialogue State Tracking in conversational assistants serving across a wide variety of …
perform Dialogue State Tracking in conversational assistants serving across a wide variety of …
Mathematics teachers' interaction patterns and role changes in online research-practice partnerships: A social network analysis
Research–Practice Partnerships (RPPs), in which researchers and teachers come together
with the shared aim of driving educational improvement, have lately gained recognition in …
with the shared aim of driving educational improvement, have lately gained recognition in …
Study on the Fabrication of Blazed Grating with Sub-Micrometer Space on Aluminum Film
S Lun, DF Hao, XD Qi - Materials Science Forum, 2006 - Trans Tech Publ
The saw tooth grooves of blazed grating ruled by ruling engine are formed by diamond tool
which presses on the aluminum film evaporated on the substrate of optical glass or metal. …
which presses on the aluminum film evaporated on the substrate of optical glass or metal. …