AACL 2023

74 papers

Function of Citation in Astrophysics Literature (FOCAL): Findings of the Shared Task

Felix Grezes, Thomas Allen, Tirthankar Ghosal, Sergi Blanco-Cuaresma

Automated Citation Function Classification and Context Extraction in Astrophysics: Leveraging Paraphrasing and Question Answering

Hariram Veeramani, Surendrabikram Thapa, Usman Naseem

On the Use of Language Models for Function Identification of Citations in Scholarly Papers

Tomoki Ikoma, Shigeki Matsubara

APCS: Towards Argument Based Pros and Cons Summarization of Peer Reviews

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

Factored Verification: Detecting and Reducing Hallucination in Summaries of Academic Papers

Charlie George, Andreas Stuhlmueller

An End-to-End Pipeline for Bibliography Extraction from Scientific Articles

Bikash Joshi, Anthi Symeonidou, Syed Mazin Danish, Floris Hermsen

MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain

Timo Pierre Schrader, Matteo Finco, Stefan Grünewald, Felix Hildebrand, Annemarie Friedrich

Enhancing Academic Title Generation Using SciBERT and Linguistic Rules

Elena Callegari, Peter Vajdecka, Desara Xhura, Anton Karl Ingason

Leveraging the Fusion-in-Decoder for Label Classification

Azumi Okuda, Hideya Mino, Taro Miyazaki, Jun Goto

LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework

Changxu Duan, Zhiyin Tan, Sabine Bartsch

AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciucă, Charles O’Neill, Ze-Chang Sun

Detection of Tortured Phrases in Scientific Literature

Eléna Martel, Martin Lentschat, Cyril Labbe

A Novel Dataset Towards Extracting Virus-Host Interactions

Rasha R. Alshawi, Atriya Sen, Nathan S. Upham, Beckett Sterner

Extracting Definienda in Mathematical Scholarly Articles with Transformers

Shufan Jiang, Pierre Senellart

Relation Extraction from Scientific Texts in Russian with Limited Training Data

Olga Tikhobaeva, Elena Bruches

NanoNER: Named Entity Recognition for Nanobiology Using Experts’ Knowledge and Distant Supervision

Ran Cheng, Martin Lentschat, Cyril Labbe

Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts

Necva Bölücü, Maciej Rybinski, Stephen Wan

Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts

François Remy, Simone Scaboro, Beatrice Portelli

The Future of Meat: Sentiment Analysis of Food Tweets

Matīss Rikters, Maija Kāle

An Emotion-Enriched and Psycholinguistics Features-Based Approach for Rumor Detection on Online Social Media

Asimul Haque, Muhammad Abulaish

OffMix-3L: A Novel Code-Mixed Test Dataset in Bangla-English-Hindi for Offensive Language Identification

Dhiman Goswami, Md Nishat Raihan, Antara Mahmud, Antonios Anastasopoulos, Marcos Zampieri

Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models

Mahammed Kamruzzaman, Gene Kim

Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Junaid Rashid, Liang Hu

Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia

Lucky Susanto, Ryandito Diandaru, Adila Krisnadhi, Ayu Purwarianti, Derry Tanti Wijaya

IndoToD: A Multi-Domain Indonesian Benchmark For End-to-End Task-Oriented Dialogue Systems

Muhammad Kautsar, Rahmah Nurdini, Samuel Cahyawijaya, Genta Winata, Ayu Purwarianti

SentMix-3L: A Novel Code-Mixed Test Dataset in Bangla-English-Hindi for Sentiment Analysis

Md Nishat Raihan, Dhiman Goswami, Antara Mahmud, Antonios Anastasopoulos, Marcos Zampieri

InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning

Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, Willy Chung, Pascale Fung

Utilizing Weak Supervision to Generate Indonesian Conservation Datasets

Mega Fransiska, Diah Pitaloka, Saripudin, Satrio Putra, Lintang Sutawika

Balarila: Deep Learning for Semantic Grammar Error Correction in Low-Resource Settings

Paolo Espiritu, Joshue Jadie, Andre Ponce, Charibeth Cheng

Developing a Named Entity Recognition Dataset for Tagalog

Lester James V. Miranda

Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings

Dan John Velasco, Axel Alba, Trisha Gail Pelagio, Bryce Anthony Ramirez, Jan Christian Blaise Cruz

“Dr LLM, what do I have?”: The Impact of User Beliefs and Prompt Formulation on Health Diagnoses

Wojciech Kusa, Edoardo Mosca, Aldo Lipani

Clinical note section classification on doctor-patient conversations in low-resourced settings

Zhuohao Chen, Jangwon Kim, Yang Liu, Shrikanth Narayanan

On Interfacing Tip-of-the-tongue References

Jongho Kim, Soona Hong, Seung-won Hwang

On Consistency Training for Language-Based Image Editing Interface

Youngwon Lee, Ayoung Lee, Yeonjoon Jung, Seung-won Hwang

InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems

Willy Chung, Samuel Cahyawijaya, Bryan Wilie, Holy Lovenia, Pascale Fung

Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models

Hariram Veeramani, Surendrabikram Thapa, Usman Naseem

Exploring Knowledge Composition for ESG Impact Type Determination

Fabian Billert, Stefan Conrad

ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning

Soumya Mishra

The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models

Yosef Ardhito Winatmoko, Ali Septiandri

GPT-based Solution for ESG Impact Type Identification

Anna Polyanskaya, Lucas Fernández Brillet

A low resource framework for Multi-lingual ESG Impact Type Identification

Harsha Vardhan, Sohom Ghosh, Ponnurangam Kumaraguru, Sudip Naskar

Identifying ESG Impact with Key Information

Le Qiu, Bo Peng, Jinghang Gu, Yu-Yin Hsu, Emmanuele Chersoni

Multi-Lingual ESG Impact Type Identification

Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Yohei Seki

GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

Pawan Rajpoot, Ankur Parikh

Audit Report Coverage Assessment using Sentence Classification

Sushodhan Vaishampayan, Nitin Ramrakhiyani, Sachin Pawar, Aditi Pawde, Manoj Apte

Headline Generation for Stock Price Fluctuation Articles

Shunsuke Nishida, Yuki Zenimoto, Xiaotian Wang, Takuya Tamura, Takehito Utsuro

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset

Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester

Large Language Model Adaptation for Financial Sentiment Analysis

Pau Rodriguez Inserte, Mariam Nakhlé, Raheel Qader, Gaetan Caillaut, Jingshu Liu

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation

Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger

Exploring Prompting Large Language Models as Explainable Metrics

Ghazaleh Mahmoudi

Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task

Neema Kotonya, Saran Krishnasamy, Joel Tetreault, Alejandro Jaimes

Reference-Free Summarization Evaluation with Large Language Models

Abbas Akkasi, Kathleen Fraser, Majid Komeili

Characterised LLMs Affect its Evaluation of Summary and Translation

Yu-An Lu, Yu-Ting Lin

Which is better? Exploring Prompting Strategy For LLM-based Metrics

JoongHoon Kim, Sangmin Lee, Seung Hun Han, Saeran Park, Jiyoon Lee

LTRC_IIITH’s 2023 Submission for Prompting Large Language Models as Explainable Metrics Task

Pavan Baswani, Ananya Mukherjee, Manish Shrivastava

Understanding Large Language Model Based Metrics for Text Summarization

Abhishek Pradhan, Ketan Todi

HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task

Rui Zhang, Fuhai Song, Hui Huang, Jinghao Yuan, Muyun Yang

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror

Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models

Jad Doughman, Shady Shehata, Leen Al Qadi, Youssef Nafea, Fakhri Karray

Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content

Savita Bhat, Vasudeva Varma

Summary Cycles: Exploring the Impact of Prompt Engineering on Large Language Models’ Interaction with Interaction Log Information

Jeremy Block, Yu-Peng Chen, Abhilash Budharapu, Lisa Anthony, Bonnie Dorr

Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End

Yanran Chen, Steffen Eger

Zero-shot Probing of Pretrained Language Models for Geography Knowledge

Nitin Ramrakhiyani, Vasudeva Varma, Girish Palshikar, Sachin Pawar

EduQuick: A Dataset Toward Evaluating Summarization of Informal Educational Content for Social Media

Zahra Kolagar, Sebastian Steindl, Alessandra Zarcone

Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages

Yixuan Wang, Qingyan Chen, Duygu Ataman

Assessing Distractors in Multiple-Choice Tests

Vatsal Raina, Adian Liusie, Mark Gales

WRF: Weighted Rouge-F1 Metric for Entity Recognition

Lukas Weber, Krishnan Jothi Ramalingam, Matthias Beyer, Axel Zimmermann

Uncovering Bias in AI-Generated Images

Kimberley Baxter

Discovering Safety Issues in Text-to-Image Models: Insights from Adversarial Nibbler Challenge

Gauri Sharma

Measuring Adversarial Datasets

Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu

Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge

Manuel Brack, Patrick Schramowski, Kristian Kersting

Student-Teacher Prompting for Red Teaming to Improve Guardrails

Rodrigo Revilla Llaca, Victoria Leskoschek, Vitor Costa Paiva, Cătălin Lupău, Philip Lippmann

Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks

Aleksander Buszydlik, Karol Dobiczek, Michał Teodor Okoń, Konrad Skublicki, Philip Lippmann