Search Results for author:
Found 14 papers, 1 papers with code
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples
This paper describes our system, Joint Encoders for Stable Suggestion Inference (JESSI), for the SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.
Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism
The proposed model finds n-to-1 subject-object relations by using a forward de-coder called an object decoder.
Ranked #1 on
Relation Extraction
on ACE 2005
(Cross Sentence metric)
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
The proposed model finds n-to-1 subject-object relations using a forward object decoder.
Ranked #1 on
Relation Extraction
on ACE 2005
(Relation classification F1 metric)
Improving Document-Level Sentiment Classification Using Importance of Sentences
Although there are sentences in a document that support important evidences for sentiment analysis and sentences that do not, they have treated the document as a bag of sentences.
Ranked #1 on
Document Classification
on IMDb-M
Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models
Natural Language Generation (NLG) refers to the operation of expressing the calculation results of a system in human language.
Korean-English Machine Translation with Multiple Tokenization Strategy
This work was conducted to find out how tokenization methods affect the training results of machine translation models.
Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
In this paper, we propose Deep Contextualized Relation-Aware Network (DCRAN), which allows interactive relations among subtasks with deep contextual information based on two modules (i. e., Aspect and Opinion Propagation and Explicit Self-Supervised Strategies).
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Improving Sentence-Level Relation Extraction through Curriculum Learning
Sentence-level relation extraction mainly aims to classify the relation between two entities in a sentence.
Ranked #1 on
Relation Extraction
on Re-TACRED
Transcending Traditional Boundaries: Leveraging Inter-Annotator Agreement (IAA) for Enhancing Data Management Operations (DMOps)
This paper presents a novel approach of leveraging Inter-Annotator Agreement (IAA), traditionally used for assessing labeling consistency, to optimize Data Management Operations (DMOps).
Document-Grounded Goal-Oriented Dialogue Systems on Pre-Trained Language Model with Diverse Input Representation
In this paper, we propose two models (i. e., a knowledge span prediction model and a response generation model) for the subtask1 and the subtask2.
Pipeline Coreference Resolution Model for Anaphoric Identity in Dialogues
Therefore, we proceed with the anaphora resolution as a two-stage pipeline model.
The Pipeline Model for Resolution of Anaphoric Reference and Resolution of Entity Reference
In this paper, we propose the pipelined model (i. e., a resolution of anaphoric identity and a resolution of bridging references) for the subtask1 and the subtask2.
