ACL 2023

2,767 papers

ChatGPT is not a good indigenous translator

David Stap, Ali Araabi

Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task

Nouman Ahmed, Natalia Flechas Manrique, Antonije Petrović

Finding words that aren’t there: Using word embeddings to improve dictionary search for low-resource languages

Antti Arppe, Andrew Neitsch, Daniel Dacanay, Jolene Poulin, Daniel Hieber

Community consultation and the development of an online Akuzipik-English dictionary

Benjamin Hunt, Lane Schwartz, Sylvia Schreiner, Emily Chen

Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction

Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann

A finite-state morphological analyser for Highland Puebla Nahuatl

Robert Pugh, Francis Tyers

Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec

Atnafu Lambebo Tonja, Christian Maldonado-sifuentes, David Alejandro Mendoza Castillo, Olga Kolesnikova, Noé Castro-Sánchez

Towards the First Named Entity Recognition of Inuktitut for an Improved Machine Translation

Ngoc Tan Le, Soumia Kasdi, Fatiha Sadat

Enriching Wayúunaiki-Spanish Neural Machine Translation with Linguistic Information

Nora Graichen, Josef van Genabith, Cristina España-Bonet

Identification of Dialect for Eastern and Southwestern Ojibwe Words Using a Small Corpus

Kalvin Hartwig, Evan Lucas, Timothy Havens

Fine-tuning Sentence-RoBERTa to Construct Word Embeddings for Low-resource Languages from Bilingual Dictionaries

Diego Bear, Paul Cook

Modelling the Reduplicating Lushootseed Morphology with an FST and LSTM

Jack Rueter, Mika Hämäläinen, Khalid Alnajjar

Developing finite-state language technology for Maya

Robert Pugh, Francis Tyers, Quetzil Castañeda

Codex to corpus: Exploring annotation and processing for an open and extensible machine-readable edition of the Florentine Codex

Francis Tyers, Robert Pugh, Valery Berthoud F.

Understanding Native Language Identification for Brazilian Indigenous Languages

Paulo Cavalin, Pedro Domingues, Julio Nogima, Claudio Pinhanez

Neural Machine Translation through Active Learning on low-resource languages: The case of Spanish to Mapudungun

Begoña Pendas, Andres Carvallo, Carlos Aspillaga

Use of NLP in the Context of Belief states of Ethnic Minorities in Latin America

Olga Kellert, Mahmud Zaman

Decouple knowledge from paramters for plug-and-play language modeling

Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding

Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang

An Empirical Comparison of LM-based Question and Answer Generation Methods

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Intent Discovery with Frame-guided Semantic Regularization and Augmentation

Yajing Sun, Rui Zhang, Jingyuan Yang, Wei Peng

Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation

Maha Elbayad, Anna Sun, Shruti Bhosale

DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation

ChaeHun Park, Seungil Lee, Daniel Rim, Jaegul Choo

On the Expressivity Role of LayerNorm in Transformers’ Attention

Shaked Brody, Uri Alon, Eran Yahav

Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks

Sherzod Hakimov, David Schlangen

How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics

Li Nguyen, Christopher Bryant, Oliver Mayeux, Zheng Yuan

“A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation

Akshay Batheja, Pushpak Bhattacharyya

Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers

James A. Michaelov, Benjamin K. Bergen

Tokenization with Factorized Subword Encoding

David Samuel, Lilja Øvrelid

Early Exit with Disentangled Representation and Equiangular Tight Frame

Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen

Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence

Gengyu Wang, Kate Harwood, Lawrence Chillrud, Amith Ananthram, Melanie Subbiah

People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts

Vít Novotný, Kristina Luger, Michal Štefánik, Tereza Vrabcova, Ales Horak

Run Like a Girl! Sport-Related Gender Bias in Language and Vision

Sophia Harrison, Eleonora Gualdoni, Gemma Boleda

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti

Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization

Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen

Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations

Geng Tu, Bin Liang, Ruibin Mao, Min Yang, Ruifeng Xu

Learning Query Adaptive Anchor Representation for Inductive Relation Prediction

Zhiwen Xie, Yi Zhang, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang

Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Haoran Li, Mingshi Xu, Yangqiu Song

Hybrid and Collaborative Passage Reranking

Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li

Incorporating Factuality Inference to Identify Document-level Event Factuality

Heng Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu

Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering

Siwei Wu, Xiangqing Shen, Rui Xia

Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization

Yubin Ge, Sullam Jeoung, Ly Dinh, Jana Diesner

Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling

Gábor Berend

Robustness of Learning from Task Instructions

Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei

DP-BART for Privatized Text Rewriting under Local Differential Privacy

Timour Igamberdiev, Ivan Habernal

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning

Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang

Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency

Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe

Improving Long Dialogue Summarization with Semantic Graph Representation

Yilun Hua, Zhaoyuan Deng, Kathleen McKeown

SkillQG: Learning to Generate Question for Reading Comprehension Assessment

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Transcribing Vocal Communications of Domestic Shiba lnu Dogs

Jieyi Huang, Chunhao Zhang, Mengyue Wu, Kenny Zhu

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Winata, Bryan Wilie

Model Interpretability and Rationale Extraction by Input Mask Optimization

Marc Brinner, Sina Zarrieß

On the Difference of BERT-style and CLIP-style Text Encoders

Zhihong Chen, Guiming Chen, SHIZHE DIAO, Xiang Wan, Benyou Wang

RISE: Leveraging Retrieval Techniques for Summarization Evaluation

David Uthus, Jianmo Ni

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport

Zihao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Wong

Adaptive Ordered Information Extraction with Deep Reinforcement Learning

Wenhao Huang, Jiaqing Liang, Zhixu Li, Yanghua Xiao, Chuanjun Ji

AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking

Yuxiang Nie, Heyan Huang, Wei Wei, Xian-Ling Mao

On Degrees of Freedom in Defining and Testing Natural Language Understanding

Saku Sugawara, Shun Tsugita

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis

Yakun Yu, Mingjun Zhao, Shi-ang Qi, Feiran Sun, Baoxun Wang

End-to-end Aspect-based Sentiment Analysis with Combinatory Categorial Grammar

Yuanhe Tian, Weidong Chen, Bo Hu, Yan Song, Fei Xia

Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks

Fangyi Yu, Lee Quartey, Frank Schilder

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection

Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma

Second Language Acquisition of Neural Language Models

Miyu Oba, Tatsuki Kuribayashi, Hiroki Ouchi, Taro Watanabe

Learning Event-aware Measures for Event Coreference Resolution

Yao Yao, Zuchao Li, Hai Zhao

Typology Guided Multilingual Position Representations: Case on Dependency Parsing

Tao Ji, Yuanbin Wu, Xiaoling Wang

Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios

Yufan Wang, Jie Mei, Bowei Zou, Rui Fan, Tingting He

Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners

Kai Zheng, Qingfeng Sun, Yaming Yang, Tengchao Lv, Yeyong Pi

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction

Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang

GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning

Shuai Peng, Di Fu, Yijun Liang, Liangcai Gao, Zhi Tang

DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang

Cross-Domain Argument Quality Estimation

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl

Discovering Language Model Behaviors with Model-Written Evaluations

Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen

Learning from Children: Improving Image-Caption Pretraining via Curriculum

Hammad Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-fu Chang

Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words

Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents

Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey

Don’t Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness

Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin

With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages

Nihar Sahoo, Niteesh Mallela, Pushpak Bhattacharyya

PruMUX: Augmenting Data Multiplexing with Model Compression

Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li

Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation

Hui Huang, Shuangzhi Wu, Xinnian Liang, Zefan Zhou, Muyun Yang

Causal interventions expose implicit situation models for commonsense language understanding

Takateru Yamakoshi, James McClelland, Adele Goldberg, Robert Hawkins

Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture

Xinran Zhao, Esin Durmus, Dit-Yan Yeung

SSP: Self-Supervised Post-training for Conversational Search

Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen

Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games

Anjie Zhu, Peng-Fei Zhang, Yi Zhang, Zi Huang, Jie Shao

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang

Context-Aware Document Simplification

Liam Cripwell, Joël Legrand, Claire Gardent

Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases

Yuval Reif, Roy Schwartz

CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding

Yijiang River Dong, Lara J. Martin, Chris Callison-Burch

Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task

Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information

Vladimir Araujo, Alvaro Soto, Marie-Francine Moens

Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding

Erica K. Shimomoto, Edison Marrese-Taylor, Hiroya Takamura, Ichiro Kobayashi, Hideki Nakayama

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Probing Graph Decomposition for Argument Pair Extraction

Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu

Data Sampling and (In)stability in Machine Translation Evaluation

Chi-kiu Lo, Rebecca Knowles

Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays

Yuning Ding, Marie Bexte, Andrea Horbach

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay

Better Language Models of Code through Self-Improvement

Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen

Theory of Mind in Freely-Told Children’s Narratives: A Classification Approach

Bram van Dijk, Marco Spruit, Max van Duijn

Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis

Fan Qian, Jiqing Han, Yongjun He, Tieran Zheng, Guibin Zheng

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation

Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani

Using Collostructional Analysis to evaluate BERT’s representation of linguistic constructions

Tim Veenboer, Jelke Bloem