Өзін-өзі назар аудару механизмі

method ID: selfattentionmechanism

Related Papers

Zero Pronoun Resolution with Attention-based Neural Network

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractRecent neural network methods for zero pronoun resolution explore multiple models for generating representation vectors for zero pronouns and their candidate antecedents. Typically, contextual information is utilized to encode the …...

5514

Adaptive Attention Span in Transformers

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe propose a novel self-attention mechanism that can learn its optimal attention span. This allows us to extend significantly the maximum context size used in Transformer, while maintaining control over …...

39925

Fine-tune BERT with Sparse Self-Attention Mechanism

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we develop a novel Sparse Self-Attention Fine-tuning model (referred as SSAF) which integrates sparsity into self-attention mechanism to enhance the fine-tuning performance of BERT. In particular, sparsity …...

9151

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn multi-turn dialogue generation, response is usually related with only a few contexts. Therefore, an ideal model should be able to detect these relevant contexts and produce a suitable response …...

39603

A Transformer-based Approach for Source Code Summarization

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractGenerating a readable summary that describes the functionality of a program is known as source code summarization. In this task, learning code representation by modeling the pairwise relationship between code …...

37550

An Element-aware Multi-representation Model for Law Article Prediction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractExisting works have proved that using law articles as external knowledge can improve the performance of the Legal Judgment Prediction. However, they do not fully use law article information and …...

29994

Improve Transformer Models with Better Relative Position Embeddings

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe transformer model has demonstrated superior results on NLP tasks including machine translation and question answering. In this paper, we argue that the position information is not fully utilized in …...

32182

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractEntity representations are useful in natural language tasks involving entities. In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer. The proposed …...

30032

Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe aspect-based sentiment analysis (ABSA) consists of two conceptual tasks, namely an aspect extraction and an aspect sentiment classification. Rather than considering the tasks separately, we build an end-to-end ABSA …...

37850

NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSince propaganda became more common technique in news, it is very important to look for possibilities of its automatic detection. In this paper, we present neural model architecture submitted to …...

24433

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractA fundamental task of fine-grained sentiment analysis is aspect and opinion terms extraction. Supervised-learning approaches have shown good results for this task; however, they fail to scale across domains where …...

4199

應用多模式特徵融合的深度注意力網路進行謠言檢測 (Rumor Detection Using Deep Attention Networks With Multimodal Feature Fusion)

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

With the rapid growth of information, browsing social media on the Internet is becoming a part of people’s daily lives. Social platforms give us the latest information in real time, …...

7467

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUnderstanding voluminous historical records provides clues on the past in various aspects, such as social and political issues and even natural science facts. However, it is generally difficult to fully …...

21563

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractEntity alignment aims to identify equivalent entity pairs between different knowledge graphs (KGs). Recently, the availability of temporal KGs (TKGs) that contain time information created the need for reasoning over …...

30997

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, a lot of research has been carried out to improve the efficiency of Transformer. Among them, the sparse pattern-based method is an important branch of efficient Transformers. However, some …...

39208

Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractTransformer-based large language models are trained to make predictions about the next word by aggregating representations of previous tokens through their self-attention mechanism. In the field of cognitive modeling, such …...

30193

Nonparametric Forest-Structured Neural Topic Modeling

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNeural topic models have been widely used in discovering the latent semantics from a corpus. Recently, there are several researches on hierarchical neural topic models since the relationships among topics …...

4989

TAGPRIME: A Unified Framework for Relational Structure Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMany tasks in natural language processing require the extraction of relationship information for a given condition, such as event argument extraction, relation extraction, and task-oriented semantic parsing. Recent works usually …...

37863

Whisper Model Adaptation for FSR-2023 Hakka Speech Recognition Challenge

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

This study focuses on the adaptation and training of the Whisper model using the provided data and text annotations from the FSR-2023 Hakka Speech Recognition Challenge. The Whisper model is …...

1082