NAACL

Better Zero-Shot Reasoning with Role-Play Prompting

Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xin Zhou, Enzhi Wang, Xiaohang Dong

Comments NAACL 2024, Main Conference

Making Language Models Better Tool Learners with Execution Feedback

Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang

Comments NAACL 2024

IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model

Jianli Zhao, Changhao Xu, Bin Jiang

Comments 12 pages, 4 figures, committed to NAACL 2024

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI

Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehyia, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz

Comments Submitted to NAACL demo track

On Synthetic Data for Back Translation

Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu

Journal ref In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 419--430, Seattle, United States. Association for Computational Linguistics

Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval

Fan Luo, Mihai Surdeanu

Comments Accepted by NAACL-HLT SRW 2022

Teaching a Massive Open Online Course on Natural Language Processing

Ekaterina Artemova, Murat Apishev, Veronika Sarkisyan, Sergey Aksenov, Denis Kirjanov, Oleg Serikov

Comments To appear in the Proceedings of the Fifth Workshop on Teaching NLP @ NAACL

Char-RNN for Word Stress Detection in East Slavic Languages

Ekaterina Chernyak, Maria Ponomareva, Kirill Milintsevich

Comments Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects at NAACL-2019

Journal ref 2019, In Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 35-41,TOBEFILLED-Ann Arbor, Michigan, Association for Computational Linguistics

Finding Pragmatic Differences Between Disciplines

Lee Kezar, Jay Pujara

Comments Published in Proceedings of the Second Workshop on Scholarly Document Processing (at NAACL 2021) https://aclanthology.org/2021.sdp-1.10/

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing

Boaz Shmueli, Jan Fell, Soumya Ray, Lun-Wei Ku

Comments To be published in NAACL-HLT 2021. 12 pages, 1 figure, 3 tables

Journal ref Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 3758-3769, 2021

A Structured Span Selector

Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan

Comments NAACL 2022 camera-ready

Measuring Social Biases in Grounded Vision and Language Embeddings

Candace Ross, Boris Katz, Andrei Barbu

Comments Camera-ready from NAACL 2021. Previous arXiv version was from before conference and was not the most recent version

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting

Shuzheng Si, Shuang Zeng, Baobao Chang

Comments NAACL 2022

Towards Open-Domain Topic Classification

Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, Dan Roth

Comments Accepted by NAACL 2022 System Demonstrations

DEPAC: a Corpus for Depression and Anxiety Detection from Speech

Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, Jekaterina Novikova

Comments Accepted to the Eighth Workshop on Computational Linguistics and Clinical Psychology (CLPsych) at NAACL 2022

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Fengzhu Zeng, Wei Gao

Comments Accepted at NAACL 2022

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality

Adithya V Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz

Comments 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation

Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Hwang Kai

Comments NAACL 2022 Findings

Probing the Role of Positional Information in Vision-Language Models

Philipp J. Rösch, Jindřich Libovický

Comments Findings of the Association for Computational Linguistics: NAACL 2022, pages 1031-1041, Seattle, United States. Association for Computational Linguistics

RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators

Rilwan A. Adewoyin, Ritabrata Dutta, Yulan He

Comments NAACL 2022

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning

Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir Radev

Journal ref NAACL 2022

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models

Joseph McDonald, Baolin Li, Nathan Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi

Journal ref Findings of the Association for Computational Linguistics: NAACL 2022

Simplified Neural Unsupervised Domain Adaptation

Timothy A Miller

Comments To be presented at NAACL 2019

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Zeyu Yun, Yubei Chen, Bruno A Olshausen, Yann LeCun

Comments This paper is published at DeeLIO Workshop@NAACL 2021

Fine-grained Image Captioning with CLIP Reward

Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal

Comments NAACL Findings 2022

AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks

Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee, Hung-yi Lee

Comments Findings of NAACL 2022

Intrinsically Motivated Compositional Language Emergence

Rishi Hazra, Sonu Dixit, Sayambhu Sen

Comments abridged version Accepted in NAACL 2021 workshop: Visually Grounded Interaction and Language (ViGIL) titled "gComm: An environment for investigating generalization in Grounded Language Acquisition"

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen

Comments To be published in NAACL 2019

Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

Jan Pichl, Petr Marek, Jakub Konrád, Petr Lorenc, Ondřej Kobza, Tomáš Zajíček, Jan Šedivý

Journal ref NAACL Demo Track (2022) 39-45

Augmenting Scientific Creativity with Retrieval across Knowledge Domains

Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti

Comments NLP+HCI Workshop at NAACL 2022