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检索条件"任意字段=Conference on empirical methods in natural language processing"
15205 条 记 录,以下是4941-4950 订阅
排序:
Measuring Word Polysemousness and Sense Granularity at a language Level
Measuring Word Polysemousness and Sense Granularity at a Lan...
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IEEE International conference on natural language processing and Knowledge Engineering
作者: Zhu, Hong Liu, Yang Yu, Shiwen Peking Univ Inst Computat Linguist Beijing 100871 Peoples R China
Word sense acquisition and distinction are key issues for both lexicography and lexical semantic processing. However, it is quite difficult to automatically acquire word senses and to further evaluate the results with... 详细信息
来源: 评论
Man - Machine Knowledge Mediation: Overview of Deep Learning methods for natural language processing
Man - Machine Knowledge Mediation: Overview of Deep Learning...
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International conference on Digital Science, DSIC 2019
作者: Isaeva, Ekaterina Bakhtin, Vadim Perm State University Perm614990 Russia Perm National Research Polytechnic University Perm614990 Russia
In this paper we suggest that efficient processing of natural language should be considered as a complex procedure, which comprises such stages as knowledge encoding by means of natural language units, its digitalizat... 详细信息
来源: 评论
Aligning language Models to User Opinions
Aligning Language Models to User Opinions
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conference on empirical methods in natural language processing (EMNLP)
作者: Hwang, EunJeong Majumder, Bodhisattwa Prasad Tandon, Niket Univ British Columbia Vancouver BC Canada Vector Inst AI Toronto ON Canada Allen Inst AI Seattle WA USA
An important aspect of developing LLMs that interact with humans is to align models' behavior to their users. It is possible to prompt an LLM into behaving as a certain persona, especially a user group or ideologi... 详细信息
来源: 评论
Detection and correction of real-word spelling errors in Persian language
Detection and correction of real-word spelling errors in Per...
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International conference on natural language processing and Knowledge Engineering
作者: Faili, Heshaam School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran
Several statistical methods have already been proposed to detect and correct the real-word errors of a context. However, to the best of our knowledge, none of them has been applied on Persian language yet. In this pap... 详细信息
来源: 评论
Statistical methods of natural language processing on GPU  4th
Statistical Methods of Natural Language Processing on GPU
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4th International conference on Man-Machine Interactions (ICMMI)
作者: Banasiak, Dariusz Wroclaw Univ Technol Dept Comp Engn PL-50370 Wroclaw Poland
The following work investigates the subject of using GPGPU technology for natural language processing. natural language processing involves analysing very large volumes of data based on sophisticated algorithms. This ... 详细信息
来源: 评论
language independent Big-Data system for the prediction of user location on Twitter  4
Language independent Big-Data system for the prediction of u...
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4th IEEE International conference on Big Data (Big Data)
作者: Alonso-Lorenzo, Jaime Costa-Montenegro, Enrique Fernandez-Gavilanes, Milagros Univ Vigo Telemat Engn Dept Vigo Spain
Social media interactions have become increasingly important in today's world. A survey conducted in 2014 among adult Americans found that a majority of those surveyed use at least one social media site. Twitter, ... 详细信息
来源: 评论
Fast parameter estimation for joint maximum entropy language models  8
Fast parameter estimation for joint maximum entropy language...
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8th International conference on Spoken language processing, ICSLP 2004
作者: Schofield, Edward FTW Telecommunications Research Center Vienna Imperial College London United Kingdom
This paper discusses efficient parameter estimation methods for joint (unconditional) maximum entropy language models such as whole-sentence models. Such models are a sound framework for formalizing arbitrary linguist... 详细信息
来源: 评论
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large language Models
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimo...
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2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Shi, Wenhao Hu, Zhiqiang Bin, Yi Liu, Junhua Yang, Yang Ng, See-Kiong Bing, Lidong Lee, Roy Ka-Wei University of Electronic Science and Technology of China China Singapore University of Technology and Design Singapore Tongji University China National University of Singapore Singapore
Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruction fine-tuning datasets, containing ... 详细信息
来源: 评论
Large language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
Large Language Model for Multi-Domain Translation: Benchmark...
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2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Hu, Tianxiang Zhang, Pei Yang, Baosong Xie, Jun Wong, Derek F. Wang, Rui Shanghai Jiao Tong University China NLP2CT Lab University of Macau China Tongyi Lab China
Achieving consistent high-quality machine translation (MT) across diverse domains remains a significant challenge, primarily due to the limited and imbalanced parallel training data available in various domains. While... 详细信息
来源: 评论
Structural Adapters in Pretrained language Models for AMR-to-Text Generation
Structural Adapters in Pretrained Language Models for AMR-to...
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2021 conference on empirical methods in natural language processing, EMNLP 2021
作者: Ribeiro, Leonardo F.R. Zhang, Yue Gurevych, Iryna Ubiquitous Knowledge Processing Lab Technical University of Darmstadt Germany School of Engineering Westlake University China
Pretrained language models (PLM) have recently advanced graph-to-text generation, where the input graph is linearized into a sequence and fed into the PLM to obtain its representation. However, efficiently encoding th... 详细信息
来源: 评论