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[HTML][HTML] Crafting a museum guide using ChatGPT4
This paper introduces a groundbreaking approach to enriching the museum experience
using ChatGPT4, a state-of-the-art language model by OpenAI. By develo** a museum …
using ChatGPT4, a state-of-the-art language model by OpenAI. By develo** a museum …
Advancing naturalistic affective science with deep learning
People express their own emotions and perceive others' emotions via a variety of channels,
including facial movements, body gestures, vocal prosody, and language. Studying these …
including facial movements, body gestures, vocal prosody, and language. Studying these …
Spoken‐to‐written text conversion for enhancement of Korean–English readability and machine translation
The Korean language has written (formal) and spoken (phonetic) forms that differ in their
application, which can lead to confusion, especially when dealing with numbers and …
application, which can lead to confusion, especially when dealing with numbers and …
K-nct: Korean neural grammatical error correction gold-standard test set using novel error type classification criteria
Recently, active research has been conducted on Korean grammatical error correction on
machine translation (MT) and automatic noise generation. However, there is no gold …
machine translation (MT) and automatic noise generation. However, there is no gold …
Uncovering the risks and drawbacks associated with the use of synthetic data for grammatical error correction
In a Data-Centric AI paradigm, the model performance is enhanced without altering the
model architecture, as evidenced by real-world and benchmark dataset demonstrations …
model architecture, as evidenced by real-world and benchmark dataset demonstrations …
KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
Abstract Automatic Speech Recognition (ASR) systems are instrumental across various
applications, with their performance being critically tied to user satisfaction. Conventional …
applications, with their performance being critically tied to user satisfaction. Conventional …
AI for patents: A novel yet effective and efficient framework for patent analysis
Patents provide inventors exclusive rights to their inventions by protecting their intellectual
property rights. However, analyzing patent documents generally requires knowledge of …
property rights. However, analyzing patent documents generally requires knowledge of …
Back transcription as a method for evaluating robustness of natural language understanding models to speech recognition errors
In a spoken dialogue system, an NLU model is preceded by a speech recognition system
that can deteriorate the performance of natural language understanding. This paper …
that can deteriorate the performance of natural language understanding. This paper …
UAV path planning in multi-task environments with risks through natural language understanding
C Wang, Z Zhong, X **ang, Y Zhu, L Wu, D Yin, J Li - Drones, 2023 - mdpi.com
Path planning using handcrafted waypoints is inefficient for a multi-task UAV operating in
dynamic environments with potential risks such as bad weather, obstacles, or forbidden …
dynamic environments with potential risks such as bad weather, obstacles, or forbidden …
Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing
The recent advancements in the realm of Automatic Speech Recognition (ASR) post-
processing have been primarily driven by sequence-to-sequence paradigms. Despite their …
processing have been primarily driven by sequence-to-sequence paradigms. Despite their …