DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6 7 8 9...150
Hits 81 – 100 of 2.986

81
EnvEdit: Environment Editing for Vision-and-Language Navigation ...
Li, Jialu; Tan, Hao; Bansal, Mohit. - : arXiv, 2022
BASE
Show details
82
Homepage2Vec: Language-Agnostic Website Embedding and Classification ...
BASE
Show details
83
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER ...
BASE
Show details
84
A new approach to calculating BERTScore for automatic assessment of translation quality ...
Vetrov, A. A.; Gorn, E. A.. - : arXiv, 2022
BASE
Show details
85
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ...
Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022
BASE
Show details
86
ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language ...
BASE
Show details
87
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation ...
Xu, Yulin; Yang, Zhen; Meng, Fandong. - : arXiv, 2022
BASE
Show details
88
Natural Language Descriptions of Deep Visual Features ...
BASE
Show details
89
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
BASE
Show details
90
A Feasibility Study of Answer-Agnostic Question Generation for Education ...
BASE
Show details
91
Language Generation for Broad-Coverage, Explainable Cognitive Systems ...
McShane, Marjorie; Leon, Ivan. - : arXiv, 2022
BASE
Show details
92
Cross-view Brain Decoding ...
BASE
Show details
93
Transforming UNL graphs in OWL representations ...
BASE
Show details
94
Visio-Linguistic Brain Encoding ...
BASE
Show details
95
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ...
BASE
Show details
96
Linguistic communication as (inverse) reward design ...
BASE
Show details
97
Neural Topic Modeling of Psychotherapy Sessions ...
BASE
Show details
98
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ...
Abstract: This paper focuses on robotic reinforcement learning with sparse rewards for natural language goal representations. An open problem is the sample-inefficiency that stems from the compositionality of natural language, and from the grounding of language in sensory data and actions. We address these issues with three contributions. We first present a mechanism for hindsight instruction replay utilizing expert feedback. Second, we propose a seq2seq model to generate linguistic hindsight instructions. Finally, we present a novel class of language-focused learning tasks. We show that hindsight instructions improve the learning performance, as expected. In addition, we also provide an unexpected result: We show that the learning performance of our agent can be improved by one third if, in a sense, the agent learns to talk to itself in a self-supervised manner. We achieve this by learning to generate linguistic instructions that would have been appropriate as a natural language goal for an originally unintended ... : Preprint ICDL 2022 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.04308
https://arxiv.org/abs/2204.04308
BASE
Hide details
99
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
BASE
Show details
100
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding ...
Chen, Zeming; Gao, Qiyue. - : arXiv, 2022
BASE
Show details

Page: 1 2 3 4 5 6 7 8 9...150

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
2.986
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern