过去一年中添加的文章,按日期排序
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
16 天前 - … purpose assistance capabilities, have evolved to handle multi-modal inputs, including
speech. Although these models can be adept at recognizing … selected utterances from the …
speech. Although these models can be adept at recognizing … selected utterances from the …
Navigating NLU Challenges in Pair Programming Agents: A Study on Data Size, Gender, Language, and Domain Effects
34 天前 - … Recent strides in Natural Language Understanding (NLU) for pair … of identifying
important words in a sentence. Slots enable the agent to pinpoint essential parts of an utterance […
important words in a sentence. Slots enable the agent to pinpoint essential parts of an utterance […
Combining statistical dialog management and intent recognition for enhanced response selection
D Griol, Z Callejas - Logic Journal of the IGPL, 2024 - academic.oup.com
57 天前 - … as Artificial Intelligence, Natural Language Processing and … the recognition,
understanding and generation of natural … Intent recognition involves classifying user utterances …
understanding and generation of natural … Intent recognition involves classifying user utterances …
ВЕСТНИК БАЛТИЙСКОГО ФЕДЕРАЛЬНОГО УНИВЕРСИТЕТА ИМ. И. КАНТА. СЕРИЯ: ФИЛОЛОГИЯ, ПЕДАГОГИКА, ПСИХОЛОГИЯ
ИВ ПОНОМАРЁВА - … ИМ. И. КАНТА. СЕРИЯ: ФИЛОЛОГИЯ, ПЕДАГОГИКА … - elibrary.ru
58 天前 - … The scientific novelty of the work lies in specifying and identifying distinctive features
of … partners’ utterances. As a result, the full realization of communicative intentions and …
of … partners’ utterances. As a result, the full realization of communicative intentions and …
Natural Language Understanding for Navigation of Service Robots in Low-Resource Domains and Languages: Scenarios in Spanish and Nahuatl
A Hernández, RM Ortega-Mendoza, E Villatoro-Tello… - Mathematics, 2024 - mdpi.com
86 天前 - … : identifying the intended action (intent classification) … natural language [28]. It can
be modeled as a sentence classification task, where each utterance is labeled with an intent […
be modeled as a sentence classification task, where each utterance is labeled with an intent […
ReVoice: A Neural Network based Voice Cloning System
S Kadam, A Jikamade, P Mattoo… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
91 天前 - … The purpose of this paper is to introduce a personalized voice cloning system that
… voice from a text input and a reference utterance of an arbitrary source speaker. NAUTILUS …
… voice from a text input and a reference utterance of an arbitrary source speaker. NAUTILUS …
Exploring Label Hierarchy in Dialogue Intent Classification
S Huang, P Huang, Y Xu, J Liang… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
98 天前 - … the goal of recognizing and understanding the user’s dialogue intent. Dialogue
intent … [7] integrated the intent of individual utterances into the model. Xu et al. [8] introduced a …
intent … [7] integrated the intent of individual utterances into the model. Xu et al. [8] introduced a …
Probability-Aware Word-Confusion-Network-To-Text Alignment Approach for Intent Classification
98 天前 - … method that uses automatic speech recognition (ASR) decoded text to derive intent
[3], to … The Language Model (LM) was trained with 34M utterances from publicly available …
[3], to … The Language Model (LM) was trained with 34M utterances from publicly available …
Context-Aware in an Emerging Area in Conversational Agents: A Comparative Study of Recurrent Neural Networks and Transformer Models for Intent Detection
101 天前 - … Natural Language Processing (NLP) field. Identifying user intents from natural
language utterances … the diversity in user utterances makes intent detection even a challenging …
language utterances … the diversity in user utterances makes intent detection even a challenging …
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
S Yin, P Huang, Y Xu - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
103 天前 - … through intent detection, identifying the user’s intentions, … word representations and
utterance intent information, and … the performance of natural language understanding models…
utterance intent information, and … the performance of natural language understanding models…