Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
Comments 9 pages, 1 figure, 10 tables, Accepted by ACL 2023 (main conference)
期刊&会议
ACL
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Event-Centric Query Expansion in Web Search
Comments ACL 2023 Industry Track
A Multilingual Evaluation of NER Robustness to Adversarial Inputs
Comments Paper accepted at Repl4NLP workshop, ACL 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases
Comments Findings of ACL 2023
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
Comments ACL 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
Comments Accepted to ACL 2023 Findings
Shuo Wen Jie Zi: Rethinking Dictionaries and Glyphs for Chinese Language Pre-training
Comments To appear at ACL 2023 Findings
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions
Comments To appear at ACL 2023
Graph Reasoning for Question Answering with Triplet Retrieval
Comments Findings of ACL 2023
Grokking of Hierarchical Structure in Vanilla Transformers
Comments ACL 2023
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs
Comments Accepted by Findings of ACL 2023
Alfred: A System for Prompted Weak Supervision
Comments ACL 2023 System Demonstration Track
Building Accurate Low Latency ASR for Streaming Voice Search
Comments Accepted at ACL 2023 Industry Track
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Comments Accepted to Findings of ACL 2023
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Comments ACL 2023
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
Comments Accepted to ACL 2023
Do Large Language Models Know What They Don't Know?
Comments 10 pages, 9 figures, accepted by Findings of ACL2023
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application
Comments 17 pages, 8 figures, 12 tables, ACL 2023
Learning from Children: Improving Image-Caption Pretraining via Curriculum
Comments ACL Findings 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Comments Accepted to Findings of ACL 2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
Comments Accepted to ACL 2023 Main Conference
CB2: Collaborative Natural Language Interaction Research Platform
Comments ACL 2023 Demo paper
ORCA: A Challenging Benchmark for Arabic Language Understanding
Comments All authors contributed equally. Accepted at ACL 2023, Toronto, Canada
Training Trajectories of Language Models Across Scales
Comments Accepted to ACL 2023; The code and analysis results are available at https://github.com/xiamengzhou/training_trajectory_analysis
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Comments Accepted in ACL2023 Findings
Multi-VALUE: A Framework for Cross-Dialectal English NLP
Comments ACL 2023
Using contradictions improves question answering systems
Comments ACL 2023
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
Comments ACL 2023 (20 pages; the first 2 authors contributed equally)
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking
Comments Work accepted for publication at ACL Findings 2023. The code used for this study is publicly available at https://github.com/iurteaga/gp_ts_nlp
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Comments 13 pages, long paper at ACL 2022
