Results 21 to 30 of about 9,897,879 (386)
Translation between Molecules and Natural Language [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 We present MolT5 - a self-supervised learning framework for pretraining models on a vast amount of unlabeled natural language text and molecule strings.
Carl N. Edwards +4 more
semanticscholar +1 more source
Information Theory and Language
Entropy, 2020 Human language is a system of communication [...]
Łukasz Dębowski, Christian Bentz
doaj +1 more source
Design of autonomous family companion robot based on ROS
Dianzi Jishu Yingyong, 2021 Aiming at the problem of left-behind children, empty-nest elderly, and people with reduced mobility, an autonomous family companion robot was designed.
Li Jianyong +3 more
doaj +1 more source
TinyBERT: Distilling BERT for Natural Language Understanding [PDF]
Findings, 2019 Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually computationally expensive, so it is difficult to efficiently execute them ...
Xiaoqi Jiao +7 more
semanticscholar +1 more source
Enhancing Semantic Code Search With Deep Graph Matching
IEEE Access, 2023 The job of discovering appropriate code snippets against a natural language query is an important task for software developers. Appropriate code retrieval increases software productivity and quality as well.
Nazia Bibi +5 more
doaj +1 more source
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization ...
Peng Qi +4 more
semanticscholar +1 more source
Natural language-guided programming [PDF]
Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, 2021 In today's software world with its cornucopia of reusable software libraries, when a programmer is faced with a programming task that they suspect can be completed through the use of a library, they often look for code examples using a search engine and then manually adapt found examples to their specific context of use.
Geert Heyman +3 more
openaire +3 more sources
A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports
Safety, 2023 Safety occurrence reports can contain valuable information on how incidents occur, revealing knowledge that can assist safety practitioners. This paper presents and discusses a literature review exploring how Natural Language Processing (NLP) has been ...
John W. Ricketts +3 more
semanticscholar +1 more source
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2020 Some NLP tasks can be solved in a fully unsupervised fashion by providing a pretrained language model with “task descriptions” in natural language (e.g., Radford et al., 2019). While this approach underperforms its supervised counterpart, we show in this
Timo Schick, Hinrich Schütze
semanticscholar +1 more source
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization [PDF]
arXiv.org, 2022 We tackle the problem of aligning pre-trained large language models (LMs) with human preferences. If we view text generation as a sequential decision-making problem, reinforcement learning (RL) appears to be a natural conceptual framework. However, using
Rajkumar Ramamurthy +7 more
semanticscholar +1 more source