The ACL 2020 System Demonstration Program Committee invites proposals for the Demonstrations Program. Submissions may range from early research prototypes to mature production-ready systems. Of particular interest are publicly available open-source or open-access systems. We additionally strongly encourage d...
2024-06-04,EasyInstructis accepted by ACL 2024 System Demonstration Track. 🎉🎉 2024-02-06 We release a new paper: "EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models" with an HF demoEasyInstruct. ...
The EMNLP 2024 System Demonstration Program Committee invites proposals for the Demonstrations Program. Demonstrations may range from early research prototypes to mature production-ready systems. Publicly available open-source or open-access systems are of special interest. We additionally strongly encourage ...
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue a...
The ACL-IJCNLP 2015 System Demonstration Program Committee invites proposals for the Demonstrations Program. We encourage both the submission of early research prototypes and mature systems. Areas of interest include all topics related to theoretical and applied computational linguistics, such as (but not...
Special Track【特殊任务】 作者: 蒋锦昊 @博儒,中国人民大学高瓴人工智能学院博士一年级在读,导师为赵鑫教授,研究方向为NLP。 导读 ACL 2022是CCF A类会议,人工智能领域自然语言处理(Natural Language Processing,NLP)方向最权威的国际会议之一。第60届计算语言学协会计划于今年5月22日-5月27日在爱尔兰都柏林召开。
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification...
简介:总结 | ACL2022主会论文分类整理(三) 评估 Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ...
demonstration to generate the rationale for any new input. For instance, in acommonsense question answering task, given the input question “Sammy wanted to go to where the people are. Where might he go? Answer Choices: (a) populated areas, (b) race track, (c) desert, (d) apartment, ...
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification...