Results 281 to 290 of about 1,557,530 (322)

Improving Event Definition Following For Zero-Shot Event Detection

Annual Meeting of the Association for Computational Linguistics
Existing approaches on zero-shot event detection usually train models on datasets annotated with known event types, and prompt them with unseen event definitions. These approaches yield sporadic successes, yet generally fall short of expectations.
Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Brantingham, Wei Wang, Nanyun Peng   +8 more
semanticscholar   +1 more source

Panini's zero morphs as allomorphs in the complexity of linguistic context

2014
The paper aims at reconstructing some steps of the evolution of a key concept of traditional Indian grammar, namely that of linguistic zero, focusing on the earlier authors of the paṇinian tradition, namely Patanjali (II B.C.) and Bhartrhari (V A.D.). The Ancient Indian descriptive method of this zero is compared with some relevant Linguistic theories.
Candotti, Maria Piera, Pontillo, Tiziana
openaire   +3 more sources

Zero translations and cross-linguistic equivalence: Evidence from the English-Swedish Parallel Corpus

2002
This paper examines omission (zero translation) and related translation strategies in the English-Swedish Parallel Corpus and, in particular, how translators handle various discourse expressions (connectors, particles) that do not have a straightforward equivalent in the target language.
Karin Aijmer, Bengt Altenberg
openaire   +1 more source

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Annual Meeting of the Association for Computational Linguistics
Research in toxicity detection in natural language processing for the speech modality (audio-based) is quite limited, particularly for languages other than English.
M. Costa-jussà, Mariano Coria Meglioli, Pierre Andrews, David Dale, Prangthip Hansanti, Elahe Kalbassi, Alex Mourachko, C. Ropers, Carleigh Wood   +8 more
semanticscholar   +1 more source

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion

Annual Meeting of the Association for Computational Linguistics
Recent language model (LM) advancements have showcased impressive zero-shot voice conversion (VC) performance. However, existing LM-based VC models usually apply offline conversion from source semantics to acoustic features, demanding the complete source
Zhichao Wang, Yuan-Jui Chen, Xinsheng Wang, Lei Xie, Yuping Wang   +4 more
semanticscholar   +1 more source

Pushing the Limits of Zero-shot End-to-End Speech Translation

Annual Meeting of the Association for Computational Linguistics
Data scarcity and the modality gap between the speech and text modalities are two major obstacles of end-to-end Speech Translation (ST) systems, thus hindering their performance.
Yiannis (Ioannis) Tsiamas, Gerard I. Gállego, José A. R. Fonollosa, M. Costa-jussà   +3 more
semanticscholar   +1 more source

Taxonomy-Guided Zero-Shot Recommendations with LLMs

International Conference on Computational Linguistics
With the emergence of large language models (LLMs) and their ability to perform a variety of tasks, their application in recommender systems (RecSys) has shown promise.
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu   +5 more
semanticscholar   +1 more source

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

North American Chapter of the Association for Computational Linguistics
This paper presents VisLingInstruct, a novel approach to advancing Multi-Modal Language Models (MMLMs) in zero-shot learning. Current MMLMs show impressive zero-shot abilities in multi-modal tasks, but their performance depends heavily on the quality of ...
Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin   +7 more
semanticscholar   +1 more source

Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing

North American Chapter of the Association for Computational Linguistics
Large Language Models (LLMs) have achieved state-of-the-art performance at zero-shot generation of abstractive summaries for given articles. However, little is known about the robustness of such a process of zero-shot summarization.
Hadi Askari, Anshuman Chhabra, Muhao Chen, Prasant Mohapatra   +3 more
semanticscholar   +1 more source

ATHENA – A Zero-Intrusion No Contact Method for Workload Detection Using Linguistics, Keyboard Dynamics, and Computer Vision

2016
We describe preliminary evaluation data for ATHENA (Appraisal of Task Health and Effort through Non-intrusive Assessments), a completely no contact, zero-intrusion workload measurement method which harnesses multimodal metrics (e.g. linguistic markers, keyboard dynamics and computer vision).
Tammy Ott, Peggy Wu, Amandalynne Paullada, Derek Mayer, Jeremy Gottlieb, Peter Wall   +5 more
openaire   +1 more source