Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation.

[BibT_eX]

[DOI]

Ritesh Singh Soun

Atula Tejaswi Neerkaje

Ramit Sawhney

Preslav Nakov

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media.

[BibT_eX]

[DOI]

A. Seza Dogruöz

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

On the Impact of Calibration Data in Post-training Quantization and Pruning.

[BibT_eX]

[DOI]

Miles Williams

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?

[BibT_eX]

[DOI]

Miles Williams

CoRR, 2023

Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization.

[BibT_eX]

[DOI]

CoRR, 2023

Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning.

[BibT_eX]

[DOI]

Miles Williams

CoRR, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

A Multimodal Analysis of Influencer Content on Twitter.

[BibT_eX]

[DOI]

Danae Sánchez Villegas

Catalina Goanta

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

We Need to Talk About Classification Evaluation Metrics in NLP.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Robust Weak Supervision with Variational Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention.

[BibT_eX]

[DOI]

Huiyin Xue

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Learning Principles for In-Context Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Regulation and NLP (RegNLP): Taming Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?

[BibT_eX]

[DOI]

Ahmed Alajrami

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits.

[BibT_eX]

[DOI]

Yida Mu

Kalina Bontcheva

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Incorporating Attribution Importance for Improving Faithfulness Metrics.

[BibT_eX]

[DOI]

Zhixue Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Rethinking Semi-supervised Learning with Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement.

[BibT_eX]

[DOI]

Samuel Mensah

Kai Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On the Limitations of Simulating Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Node-Feature Convolution for Graph Convolutional Networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media.

[BibT_eX]

[DOI]

Yida Mu

Pu Niu

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Towards Suicide Ideation Detection Through Online Conversational Context.

[BibT_eX]

[DOI]

Ramit Sawhney

Shivam Agarwal

Atula Tejaswi Neerkaje

Preslav Nakov

Lucie Flek

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Combining Humor and Sarcasm for Improving Political Parody Detection.

[BibT_eX]

[DOI]

Xiao Ao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Improving Graph-Based Text Representations with Character and Word Level N-grams.

[BibT_eX]

[DOI]

Wenzhe Li

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

On the Impact of Temporal Concept Drift on Model Explanations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

HashFormers: Towards Vocabulary-independent Pre-trained Transformers.

[BibT_eX]

[DOI]

Huiyin Xue

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning.

[BibT_eX]

[DOI]

Loïc Barrault

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Automatic Identification and Classification of Bragging in Social Media.

[BibT_eX]

[DOI]

A. Seza Dogruöz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Translation Error Detection as Rationale Extraction.

[BibT_eX]

[DOI]

Marina Fomicheva

Lucia Specia

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Empirical Study on Explanations in Out-of-Domain Settings.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.

[BibT_eX]

[DOI]

Abhik Jana

Dirk Hartung

Michael J. Bommarito II

Daniel Martin Katz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How does the pre-training objective affect what large language models learn about linguistic properties?

[BibT_eX]

[DOI]

Ahmed Alajrami

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Flexible Instance-Specific Rationalization of NLP Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bayesian Active Learning with Pretrained Language Models.

[BibT_eX]

[DOI]

Loïc Barrault

CoRR, 2021

Variable Instance-Level Explainability for Text Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Modeling the Severity of Complaints in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases.

[BibT_eX]

[DOI]

Dimitrios Tsarapatsanis

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Point-of-Interest Type Prediction using Text and Images.

[BibT_eX]

[DOI]

Danae Sánchez Villegas

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction.

[BibT_eX]

[DOI]

Samuel Mensah

Kai Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Active Learning by Acquiring Contrastive Examples.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Analyzing Online Political Advertisements.

[BibT_eX]

[DOI]

Saeid Mokaram

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Ethical Limits of Natural Language Processing on Legal Text.

[BibT_eX]

[DOI]

Dimitrios Tsarapatsanis

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Knowledge Distillation for Quality Estimation.

[BibT_eX]

[DOI]

Amit Gajbhiye

Marina Fomicheva

Fernando Alva-Manchego

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Unsupervised Quality Estimation for Neural Machine Translation.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

Identifying Twitter users who repost unreliable news sources with linguistic information.

[BibT_eX]

[DOI]

Yida Mu

PeerJ Comput. Sci., 2020

LEGAL-BERT: The Muppets straight out of Law School.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Generation of Topic Labels.

[BibT_eX]

[DOI]

Areej Alokaili

Mark Stevenson

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Point-of-Interest Type Inference from Social Media Text.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

LEGAL-BERT: "Preparing the Muppets for Court'".

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.

[BibT_eX]

[DOI]

Sotiris Kotitsas

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quality In, Quality Out: Learning from Actual Mistakes.

[BibT_eX]

[DOI]

Frédéric Blain

Lucia Specia

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Complaint Identification in Social Media with Transformer Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

LegalOps: A Summarization Corpus of Legal Opinions.

[BibT_eX]

[DOI]

Andrew Gargett

Rob Firth

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Analyzing Political Parody in Social Media.

[BibT_eX]

[DOI]

Antonis Maronikolakis

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Extreme Multi-Label Legal Text Classification: A case study in EU Legislation.

[BibT_eX]

[DOI]

CoRR, 2019

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics.

[BibT_eX]

[DOI]

Areej Alokaili

Mark Stevenson

Proceedings of the 13th International Conference on Computational Semantics, 2019

Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis.

[BibT_eX]

[DOI]

Twin Karmakharm

Kalina Bontcheva

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Automatically Identifying Complaints in Social Media.

[BibT_eX]

[DOI]

Mihaela Gaman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Legal Judgment Prediction in English.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Predicting Twitter User Socioeconomic Attributes with Network and Language Information.

[BibT_eX]

[DOI]

Benjamin Paul Chamberlain

Proceedings of the 29th on Hypertext and Social Media, 2018

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Evaluating topic representations for exploring document collections.

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., 2017

Labeling Topics with Images Using a Neural Network.

[BibT_eX]

[DOI]

Arpit Mittal

Proceedings of the Advances in Information Retrieval, 2017

Multimodal Topic Labelling.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective.

[BibT_eX]

[DOI]

Dimitrios Tsarapatsanis

Vasileios Lampos

PeerJ Comput. Sci., 2016

Why are these similar? Investigating item similarity types in a large digital library.

[BibT_eX]

[DOI]

Aitor Gonzalez-Agirre

J. Assoc. Inf. Sci. Technol., 2016

Labeling Topics with Images using Neural Networks.

[BibT_eX]

[DOI]

Arpit Mittal

CoRR, 2016

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2016

2015

A Hybrid Distributional and Knowledge-based Model of Lexical Semantics.

[BibT_eX]

[DOI]

Mark Stevenson

Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

TM 2015 - Topic Models: Post-Processing and Applications Workshop.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

An analysis of the user occupational class through Twitter content.

[BibT_eX]

[DOI]

Vasileios Lampos

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Interpreting document collections with topic models.

[BibT_eX]

[DOI]

PhD thesis, 2014

Representing topics labels for exploring digital libraries.

[BibT_eX]

[DOI]