k ең жақын көршілер әдісі
Related Papers
Learning Distributed Linguistic Classes
Error-correcting output codes (ECOC) have emerged in machine learning as a success- ful implementation of the idea of distributed classes. Monadic class symbols are replaced by bit strings, which are …...
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation
We present a comparative evaluation of two data-driven models used in translation selec- tion of English-Korean machine translation. La- tent semantic analysis(LSA) and probabilistic latent semantic analysis (PLSA) are applied …...
Cross-Lingual Text Filtering Based on Text Concepts and kNN
This paper presents the model that can be used to filter the texts which the user is interested in from a large scale of source texts in Chinese or in …...
Semantic Role Labeling via Instance-Based Learning
This paper demonstrates two methods to improve the performance of instance- based learning (IBL) algorithms for the problem of Semantic Role Labeling (SRL). Two IBL algorithms are utilized: k-Nearest Neighbor …...
Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing
We introduce a relation extraction method to identify the sentences in biomedical text that indicate an interaction among the protein names mentioned. Our approach is based on the analysis of …...
A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services
Estimating questions’ difficulty levels is an important task in community question answering (CQA) services. Previous stud- ies propose to solve this problem based on the question-user comparisons extract- ed from …...
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing
AbstractRecently, topic modeling has been widely applied in data mining due to its powerful ability. A common, major challenge in applying such topic models to other tasks is to accurately …...
Similarity Based Genre Identification for POS Tagging Experts & Dependency Parsing
AbstractPOS tagging and dependency parsing achieve good results for homogeneous datasets. However, these tasks are much more difficult on heterogeneous datasets. In (Mukherjee et al. 2016, 2017), we address this …...
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
AbstractKhandelwal et al. (2020) use a k-nearest-neighbor (kNN) component to improve language model performance. We show that this idea is beneficial for open-domain question answering (QA). To improve the recall …...
Construction and Evaluation of Japanese Sentence-BERT Models
Sentence-BERT is model which based on “Bidirectional Encoder Representations from Transformers” (BERT) for building sentence embedding. This model has abilities for se- mantic analysis similar to BERT; however, the processing …...
Non-Parametric Domain Adaptation for End-to-End Speech Translation
AbstractThe end-to-end speech translation (E2E-ST) has received increasing attention due to the potential of its less error propagation, lower latency and fewer parameters. However, the effectiveness of neural-based approaches to …...
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
AbstractDiscovering out-of-domain (OOD) intent is important for developing new skills in task-oriented dialogue systems. The key challenges lie in how to transfer prior in-domain (IND) knowledge to OOD clustering, as …...
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation
Abstractk-Nearest neighbor machine translation (kNN-MT) has attracted increasing attention due to its ability to non-parametrically adapt to new translation domains. By using an upstream NMT model to traverse the downstream …...
Revisiting k-NN for Fine-tuning Pre-trained Language Models
Abstract“Pre-trained Language Models (PLMs), as parametric-based eager learners, have become thede-facto choice for current paradigms of Natural Language Processing (NLP). In contrast, k-Nearest-Neighbor (k-NN) classifiers, as the lazy learning paradigm, …...