Yice Zhang
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View article: A Multi-persona Framework for Argument Quality Assessment
A Multi-persona Framework for Argument Quality Assessment Open
View article: CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation Open
View article: A Comparison-Based Framework for Argument Quality Assessment
A Comparison-Based Framework for Argument Quality Assessment Open
Assessing the quality of arguments is both valuable and challenging. Humans often find that making pairwise comparisons between a target argument and several reference arguments facilitates a more precise judgment of the target argument’s …
View article: Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction Open
Aspect Sentiment Quad Prediction (ASQP) aims to predict all quads (aspect term, aspect category, opinion term, sentiment polarity) for a given review, which is the most representative and challenging task in aspect-based sentiment analysis…
View article: Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction Open
Information Extraction (IE) is an essential task in Natural Language Processing. Traditional methods have relied on coarse-grained extraction with simple instructions. However, with the emergence of Large Language Models (LLMs), there is a…
View article: Set Learning for Generative Information Extraction
Set Learning for Generative Information Extraction Open
Recent efforts have endeavored to employ the sequence-to-sequence (Seq2Seq) model in Information Extraction (IE) due to its potential to tackle multiple IE tasks in a unified manner. Under this formalization, multiple structured objects ar…
View article: An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis Open
Aspect-Based Sentiment Analysis (ABSA) aims to recognize fine-grained opinions and sentiments of users, which is an important problem in sentiment analysis. Recent work has shown that Sentiment-enhanced Pre-Training (SPT) can substantially…
View article: Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction Open
Aspect Sentiment Triplet Extraction (ASTE) is an important task in sentiment analysis, aiming to extract aspect-level opinions and sentiments from user-generated reviews. The fine-grained nature of ASTE incurs a high annotation cost, while…
View article: Probing Graph Decomposition for Argument Pair Extraction
Probing Graph Decomposition for Argument Pair Extraction Open
Argument pair extraction (APE) aims to extract interactive argument pairs from two passages within a discussion. The key challenge of APE is to effectively capture the complex context-aware interactive relations of arguments between the tw…
View article: Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction
Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction Open
Aspect Sentiment Triplet Extraction (ASTE) aims to extract the aspect terms along with the corresponding opinion terms and the expressed sentiments in the review, which is an important task in sentiment analysis. Previous research efforts …
View article: HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection Open
This paper presents the winning system that participated in SemEval-2021 Task 5: Toxic Spans Detection. This task aims to locate those spans that attribute to the text's toxicity within a text, which is crucial for semi-automated moderatio…
View article: Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph Open
Argument pair extraction (APE) aims to extract interactive argument pairs from two passages of a discussion. Previous work studied this task in the context of peer review and rebuttal, and decomposed it into a sequence labeling task and a …