An overview on machine translation evaluation
L Han - arXiv preprint arXiv:2202.11027, 2022 - arxiv.org
Since the 1950s, machine translation (MT) has become one of the important tasks of AI and
development, and has experienced several different periods and stages of development …
development, and has experienced several different periods and stages of development …
Medtem2. 0: Prompt-based temporal classification of treatment events from discharge summaries
Discharge summaries are comprehensive medical records that encompass vital information
about a patient's hospital stay. A crucial aspect of discharge summaries is the temporal …
about a patient's hospital stay. A crucial aspect of discharge summaries is the temporal …
[PDF][PDF] PARSEME multilingual corpus of verbal multiword expressions
A Savary, M Candito, VB Mititelu, E Bejček… - … expressions at length …, 2018 - library.oapen.org
One of the basic ideas underlying linguistic modelling is compositionality (Baggio et al.
2012), seen as a property of language items (Janssen 2001; Partee et al. 1990) or of …
2012), seen as a property of language items (Janssen 2001; Partee et al. 1990) or of …
Chinese character decomposition for neural MT with multi-word expressions
Chinese character decomposition has been used as a feature to enhance Machine
Translation (MT) models, combining radicals into character and word level models. Recent …
Translation (MT) models, combining radicals into character and word level models. Recent …
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models
Clinical texts, represented in electronic medical records (EMRs), contain rich medical
information and are essential for disease prediction, personalised information …
information and are essential for disease prediction, personalised information …
Extraction of Medication and Temporal Relation from Clinical Text by Harnessing Different Deep Learning Models
Clinical texts, represented in electronic medical records (EMRs), contain rich medical
information and are essential for disease prediction, personalised information …
information and are essential for disease prediction, personalised information …
Crf-seq and crf-deptree at parseme shared task 2018: Detecting verbal mwes using sequential and dependency-based approaches
E Moreau, A Alsulaimani, A Maldonado… - Proceedings of the …, 2018 - aclanthology.org
This paper describes two systems for detecting Verbal Multiword Expressions (VMWEs)
which both competed in the closed track at the PARSEME VMWE Shared Task 2018. CRF …
which both competed in the closed track at the PARSEME VMWE Shared Task 2018. CRF …
[PDF][PDF] Analysis and Insights from the PARSEME Shared Task dataset
A Maldonado, B QasemiZadeh - … at length and in depth: Extended …, 2018 - library.oapen.org
Multiword expressions (MWEs) have been studied extensively due to the fact that many
natural language processing (NLP) pipelines depend on their correct identification and …
natural language processing (NLP) pipelines depend on their correct identification and …
Multilingual word segmentation: Training many language-specific tokenizers smoothly thanks to the universal dependencies corpus
E Moreau, C Vogel - … of the Eleventh International Conference on …, 2018 - hal.science
This paper describes how a tokenizer can be trained from any dataset in the Universal
Dependencies 2.1 corpus (UD2)(Nivre et al., 2017). A software tool, which relies on …
Dependencies 2.1 corpus (UD2)(Nivre et al., 2017). A software tool, which relies on …
[PDF][PDF] 关于机器翻译评测研究的综述性报告
L Han - academia.edu
自从1950 年代开始, 机器翻译成为人工智能研究发展的重要任务之一, 经历了几个不同时期和
阶段性发展, 包括基于规则的方法, 统计的方法, 和最近提出的基于神经网络的学习方法 …
阶段性发展, 包括基于规则的方法, 统计的方法, 和最近提出的基于神经网络的学习方法 …