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06/20/2023
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Large language models (LLMs) are known to effectively perform tasks by s...
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06/16/2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Relation extraction (RE) aims to extract relations from sentences and do...
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06/15/2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
Reasoning about time is of fundamental importance. Many facts are time-d...
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06/08/2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Despite the existence of various benchmarks for evaluating natural langu...
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06/07/2023
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Instruction-tuned large language models have revolutionized natural lang...
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06/05/2023
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
We present Video-LLaMA, a multi-modal framework that empowers Large Lang...
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05/31/2023
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
Argument mining involves multiple sub-tasks that automatically identify ...
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05/24/2023
Is GPT-4 a Good Data Analyst?
As large language models (LLMs) have demonstrated their powerful capabil...
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05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
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05/24/2023
Sentiment Analysis in the Era of Large Language Models: A Reality Check
Sentiment analysis (SA) has been a long-standing research area in natura...
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05/23/2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based ...
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05/22/2023
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases
We introduce Chain of Knowledge (CoK), a framework that augments large l...
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05/22/2023
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
Distantly supervised named entity recognition (DS-NER) has been proposed...
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05/22/2023
Are Large Language Models Good Evaluators for Abstractive Summarization?
Human evaluations are often required for abstractive summary evaluations...
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05/22/2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product rev...
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05/19/2023
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
Recently, data augmentation (DA) methods have been proven to be effectiv...
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05/19/2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Existing research on multimodal relation extraction (MRE) faces two co-e...
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05/19/2023
Zero-Shot Text Classification via Self-Supervised Tuning
Existing solutions to zero-shot text classification either conduct promp...
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05/18/2023
Reasoning Implicit Sentiment with Chain-of-Thought Prompting
While sentiment analysis systems try to determine the sentiment polariti...
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05/16/2023
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
Cross-domain aspect-based sentiment analysis (ABSA) aims to perform vari...
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05/16/2023
Easy-to-Hard Learning for Information Extraction
Information extraction (IE) systems aim to automatically extract structu...
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05/15/2023
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
Pre-trained language models (PLMs) have accomplished impressive achievem...
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05/05/2023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
As large language models (LLMs) have become the norm in NLP, demonstrati...
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04/03/2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
Document-level relation extraction (DocRE) predicts relations for entity...
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12/20/2022
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective
Are large language models (LLMs) like GPT-3 psychologically safe? In thi...
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12/20/2022
Is GPT-3 a Good Data Annotator?
GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregres...
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12/09/2022
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader
We present Pre-trained Machine Reader (PMR), a novel method to retrofit ...
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11/28/2022
On the Effectiveness of Parameter-Efficient Fine-Tuning
Fine-tuning pre-trained models has been ubiquitously proven to be effect...
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11/18/2022
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
Relation extraction has the potential for large-scale knowledge graph co...
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11/17/2022
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Cross-lingual named entity recognition (NER) suffers from data scarcity ...
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11/16/2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Due to the huge amount of parameters, fine-tuning of pretrained language...
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11/07/2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
Modern Review Helpfulness Prediction systems are dependent upon multiple...
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10/26/2022
SentBS: Sentence-level Beam Search for Controllable Summarization
A wide range of control perspectives have been explored in controllable ...
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10/18/2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
We introduce a new method to improve existing multilingual sentence embe...
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10/17/2022
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Span Identification (SpanID) is a family of NLP tasks that aims to detec...
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09/26/2022
Informative Text Generation from Knowledge Triples
As the development of the encoder-decoder architecture, researchers are ...
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09/12/2022
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (M...
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05/25/2022
Revisiting DocRED – Addressing the Overlooked False Negative Problem in Relation Extraction
The DocRED dataset is one of the most popular and widely used benchmarks...
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03/23/2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, i...
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03/21/2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Document-level Relation Extraction (DocRE) is a more challenging task co...
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03/17/2022
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
Despite the importance of relation extraction in building and representi...
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03/02/2022
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
As an important fine-grained sentiment analysis problem, aspect-based se...
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02/15/2022
Enhancing Cross-lingual Prompting with Mask Token Augmentation
Prompting shows promising results in few-shot scenarios. However, its st...
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11/22/2021
Knowledge Based Multilingual Language Model
Knowledge enriched language representation learning has shown promising ...
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10/14/2021
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
Much recent progress in task-oriented dialogue (ToD) systems has been dr...
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10/14/2021
MReD: A Meta-Review Dataset for Controllable Text Generation
When directly using existing text generation datasets for controllable g...
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10/02/2021
Aspect Sentiment Quad Prediction as Paraphrase Generation
Aspect-based sentiment analysis (ABSA) has been extensively studied in r...
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09/30/2021
Multilingual AMR Parsing with Noisy Knowledge Distillation
We study multilingual AMR parsing from the perspective of knowledge dist...
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08/31/2021
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER
Data augmentation for cross-lingual NER requires fine-grained control ov...
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07/26/2021