Collective Classification for Fine-grained Information Status. - Katja Markert; Yufang Hou 001; Michael Strube 001 (ACL (1), 2012)

Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set. - Yufang Hou 001; Katja Markert; Michael Strube 001 (EMNLP, 2013)

Global Inference for Bridging Anaphora Resolution. - Yufang Hou 001; Katja Markert; Michael Strube 001 (HLT-NAACL, 2013)

A Rule-Based System for Unrestricted Bridging Resolution: Recognizing Bridging Anaphora and Finding Links to Antecedents. - Yufang Hou 001; Katja Markert; Michael Strube 001 (EMNLP, 2014)

Analyzing Sentiment in Classical Chinese Poetry. - Yufang Hou 001; Anette Frank (LaTeCH@ACL, 2015)

Unrestricted Bridging Resolution - Yufang Hou 001 (2015)

Incremental Fine-grained Information Status Classification Using Attention-based LSTMs. - Yufang Hou 001 (COLING, 2016)

Argumentation Quality Assessment: Theory vs. Practice. - Henning Wachsmuth; Nona Naderi; Ivan Habernal; Yufang Hou 001; Graeme Hirst; Iryna Gurevych; Benno Stein 001 (ACL (2), 2017)

Argument Relation Classification Using a Joint Inference Model. - Yufang Hou 001; Charles Jochim (ArgMining@EMNLP, 2017)

Computational Argumentation Quality Assessment in Natural Language. - Henning Wachsmuth; Nona Naderi; Yufang Hou 001; Yonatan Bilu; Vinodkumar Prabhakaran; Tim Alberdingk Thijm; Graeme Hirst; Benno Stein 001 (EACL (1), 2017)

The Cool Cucumber System at the 2017 TAC KBP BeSt Evaluation. - Thanh-Son Nguyen 001; Yufang Hou 001; Charles Jochim; Elizabeth M. Daly; Léa A. Deleris (TAC, 2017)

Dagstuhl-15512-ArgQuality. - Henning Wachsmuth; Nona Naderi; Yufang Hou 001; Yonatan Bilu; Vinodkumar Prabhakaran; Tim Alberdingk Thijm; Graeme Hirst; Benno Stein 001 (Zenodo, 2017)

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. - Eyal Shnarch; Carlos Alzate; Lena Dankin; Martin Gleize; Yufang Hou 001; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (2), 2018)

A Deterministic Algorithm for Bridging Anaphora Resolution. - Yufang Hou 001 (EMNLP, 2018)

Know Who Your Friends Are: Understanding Social Connections from Unstructured Text. - Léa A. Deleris; Francesca Bonin; Elizabeth Daly; Stéphane Deparis; Yufang Hou 001; Charles Jochim; Yassine Lassoued; Killian Levacher (NAACL-HLT (Demonstrations), 2018)

Enhanced Word Representations for Bridging Anaphora Resolution. - Yufang Hou 001 (NAACL-HLT (2), 2018)

Unrestricted Bridging Resolution. - Yufang Hou 001; Katja Markert; Michael Strube 001 (Comput. Linguistics, 2018)

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction. - Yufang Hou 001; Charles Jochim; Martin Gleize; Francesca Bonin; Debasis Ganguly (ACL (1), 2019)

A Summarization System for Scientific Documents. - Shai Erera; Michal Shmueli-Scheuer; Guy Feigenblat; Ora Peled Nakash; Odellia Boni; Haggai Roitman; Doron Cohen 001; Bar Weiner; Yosi Mass; Or Rivlin; Guy Lev; Achiya Jerbi; et al. (EMNLP/IJCNLP (3), 2019)

Extracting Factual Min/Max Age Information from Clinical Trial Studies. - Yufang Hou 001; Debasis Ganguly; Léa A. Deleris; Francesca Bonin (CoRR, 2019)

Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention. - Yufang Hou 001 (CoRR, 2019)

Corpus Wide Argument Mining - A Working Solution. - Liat Ein-Dor; Eyal Shnarch; Lena Dankin; Alon Halfon; Benjamin Sznajder; Ariel Gera; Carlos Alzate; Martin Gleize; Leshem Choshen; Yufang Hou 001; Yonatan Bilu; Ranit Aharonov; et al. (AAAI, 2020)

End-to-End Argumentation Knowledge Graph Construction. - Khalid Al Khatib; Yufang Hou 001; Henning Wachsmuth; Charles Jochim; Francesca Bonin; Benno Stein 001 (AAAI, 2020)

Bridging Anaphora Resolution as Question Answering. - Yufang Hou 001 (ACL, 2020)

Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation. - Francesca Bonin; Martin Gleize; Yufang Hou 001; Debasis Ganguly; Ailbhe Finnerty; Charles Jochim; Alessandra Pascale; Pierpaolo Tommasi; Pol Mac Aonghusa; Susan Michie (AMIA, 2020)

Fine-grained Information Status Classification Using Discourse Context-Aware BERT. - Yufang Hou 001 (COLING, 2020)

HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports. - Francesca Bonin; Martin Gleize; Ailbhe Finnerty; Candice Moore; Charles Jochim; Emma Norris; Yufang Hou 001; Alison J. Wright; Debasis Ganguly; Emily Hayes; Silje Zink; Alessandra Pascale; et al. (LREC, 2020)

Employing Argumentation Knowledge Graphs for Neural Argument Generation. - Khalid Al Khatib; Lukas Trautner; Henning Wachsmuth; Yufang Hou 001; Benno Stein 001 (ACL/IJCNLP (1), 2021)

End-to-End Construction of NLP Knowledge Graph. - Ishani Mondal; Yufang Hou 001; Charles Jochim (ACL/IJCNLP (Findings), 2021)

Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding. - Debasis Ganguly; Martin Gleize; Yufang Hou 001; Charles Jochim; Francesca Bonin; Alessandra Pascale; Pierpaolo Tommasi; Pol Mac Aonghusa; Robert West; Marie Johnston; Mike Kelly; Susan Michie (AMIA, 2021)

Overview of the 2021 Key Point Analysis Shared Task. - Roni Friedman; Lena Dankin; Yufang Hou 001; Ranit Aharonov; Yoav Katz; Noam Slonim (ArgMining@EMNLP, 2021)

TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics. - Yufang Hou 001; Charles Jochim; Martin Gleize; Francesca Bonin; Debasis Ganguly (EACL, 2021)

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. - Xuye Liu; Dakuo Wang; April Yi Wang; Yufang Hou 001; Lingfei Wu 001 (EMNLP (Findings), 2021)

Probing for Bridging Inference in Transformer Language Models. - Onkar Pandit; Yufang Hou 001 (NAACL-HLT, 2021)

D2S: Document-to-Slide Generation Via Query-Based Text Summarization. - Edward Sun; Yufang Hou 001; Dakuo Wang; Yunfeng Zhang; Nancy Xin Ru Wang (NAACL-HLT, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

End-to-End NLP Knowledge Graph Construction. - Ishani Mondal; Yufang Hou 001; Charles Jochim (CoRR, 2021)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021. - Tirthankar Ghosal; Khalid Al Khatib; Yufang Hou 001; Anita de Waard; Dayne Freitag (SIGIR Forum, 2021)

Constrained Multi-Task Learning for Bridging Resolution. - Hideo Kobayashi; Yufang Hou 001; Vincent Ng 001 (ACL (1), 2022)

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. - Ying Xu; Dakuo Wang; Mo Yu; Daniel Ritchie; Bingsheng Yao; Tongshuang Wu; Zheng Zhang 043; Toby Jia-Jun Li; Nora Bradford; Branda Sun; Tran Bao Hoang; Yisi Sang; et al. (ACL (1), 2022)

Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. - Zhenjie Zhao; Yufang Hou 001; Dakuo Wang; Mo Yu; Chengzhong Liu; Xiaojuan Ma (ACL (1), 2022)

End-to-End Neural Bridging Resolution. - Hideo Kobayashi; Yufang Hou 001; Vincent Ng 001 (COLING, 2022)

Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation. - Max Glockner; Yufang Hou 001; Iryna Gurevych (EMNLP, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

NECE: Narrative Event Chain Extraction Toolkit. - Guangxuan Xu; Paulina Toro Isaza; Moshi Li; Akintoye Oloko; Bingsheng Yao; Aminat Adebiyi; Yufang Hou 001; Nanyun Peng 001; Dakuo Wang (CoRR, 2022)

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. - Lining Zhang; João Sedoc; Simon Mille; Yufang Hou 001; Sebastian Gehrmann; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Miruna Clinciu; Saad Mahamood; Khyathi Raghavi Chandu (CoRR, 2022)

Privacy-aware supervised classification: An informative subspace based multi-objective approach. - Chandan Biswas; Debasis Ganguly; Partha Sarathi Mukherjee; Ujjwal Bhattacharya; Yufang Hou 001 (Pattern Recognit., 2022)

Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432). - Khalid Al Khatib; Anita de Waard; Dayne Freitag; Iryna Gurevych; Yufang Hou 001; Harrisen Scells (Dagstuhl Reports, 2022)

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. - Paulina Toro Isaza; Guangxuan Xu; Toye Oloko; Yufang Hou 001; Nanyun Peng 001; Dakuo Wang (ACL (1), 2023)

PairSpanBERT: An Enhanced Language Model for Bridging Resolution. - Hideo Kobayashi; Yufang Hou 001; Vincent Ng 001 (ACL (1), 2023)

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. - Lining Zhang; Simon Mille; Yufang Hou 001; Daniel Deutsch; Elizabeth Clark; Yixin Liu 003; Saad Mahamood; Sebastian Gehrmann; Miruna Clinciu; Khyathi Raghavi Chandu; João Sedoc (ACL (1), 2023)

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. - Ronald Cardenas; Bingsheng Yao; Dakuo Wang; Yufang Hou 001 (EMNLP, 2023)

CiteBench: A Benchmark for Scientific Citation Text Generation. - Martin Funkquist; Ilia Kuznetsov; Yufang Hou 001; Iryna Gurevych (EMNLP, 2023)

A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? - Aniket Pramanick; Yufang Hou 001; Saif M. Mohammad; Iryna Gurevych (EMNLP, 2023)

LOWRECORP: the Low-Resource NLG Corpus Building Challenge. - Khyathi Raghavi Chandu; David M. Howcroft; Dimitra Gkatzia; Yi-Ling Chung; Yufang Hou 001; Chris Chinenye Emezue; Pawan Rajpoot; Tosin P. Adewumi (INLG (Generation Challenges), 2023)

A Diachronic Analysis of the NLP Research Paradigm Shift: When, How, and Why? - Aniket Pramanick; Yufang Hou 001; Iryna Gurevych (CoRR, 2023)

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. - Paulina Toro Isaza; Guangxuan Xu; Akintoye Oloko; Yufang Hou 001; Nanyun Peng 001; Dakuo Wang (CoRR, 2023)

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism. - Ronald Cardenas; Bingsheng Yao; Dakuo Wang; Yufang Hou 001 (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Missci: Reconstructing Fallacies in Misrepresented Science. - Max Glockner; Yufang Hou 001; Preslav Nakov; Iryna Gurevych (ACL (1), 2024)

Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation. - James O'Doherty; Cian Nolan; Yufang Hou 001; Anya Belz (ACL (Student Research Workshop), 2024)

Systematic Task Exploration with LLMs: A Study in Citation Text Generation. - Furkan Sahinuç; Ilia Kuznetsov; Yufang Hou 001; Iryna Gurevych (ACL (1), 2024)

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study. - Andreas Waldis; Yufang Hou 001; Iryna Gurevych (ACL (1), 2024)

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. - Andreas Waldis; Yufang Hou 001; Iryna Gurevych (EACL (Findings), 2024)

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. - Ishani Mondal; Zongxia Li; Yufang Hou 001; Anandhavelu Natarajan; Aparna Garimella; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. - Furkan Sahinuç; Thy Thy Tran; Yulia Grishina; Yufang Hou 001; Bei Chen; Iryna Gurevych (EMNLP, 2024)

On the Role of Summary Content Units in Text Summarization Evaluation. - Marcel Nawrath; Agnieszka Nowak; Tristan Ratz; Danilo C. Walenta; Juri Opitz; Leonardo F. R. Ribeiro; João Sedoc; Daniel Deutsch; Simon Mille; Yixin Liu 003; Sebastian Gehrmann; Lining Zhang; et al. (NAACL (Short Papers), 2024)

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia. - Yufang Hou 001; Alessandra Pascale; Javier Carnerero-Cano; Tigran T. Tchrakian; Radu Marinescu 002; Elizabeth Daly; Inkit Padhi; Prasanna Sattigeri (NeurIPS, 2024)

Holmes: Benchmark the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (CoRR, 2024)

A Course Shared Task on Evaluating LLM Output for Clinical Questions. - Yufang Hou 001; Thy Thy Tran; Doan Nam Long Vu; Yiwen Cao; Kai Li; Lukas Rohde; Iryna Gurevych (CoRR, 2024)

Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science. - Aniket Pramanick; Yufang Hou 001; Saif M. Mohammad; Iryna Gurevych (CoRR, 2024)

Holmes ⌕ A Benchmark to Assess the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2024)

The Nature of NLP: Analyzing Contributions in NLP Papers. - Aniket Pramanick; Yufang Hou 001; Saif M. Mohammad; Iryna Gurevych (ACL (1), 2025)

Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies. - Massimiliano Pronesti; Joao H. Bettencourt-Silva; Paul Flanagan; Alessandra Pascale; Oisin Redmond; Anya Belz; Yufang Hou 001 (ACL (1), 2025)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence. - Max Glockner; Yufang Hou 001; Preslav Nakov; Iryna Gurevych (NAACL (Long Papers), 2025)

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. - Steffen Eger; Yong Cao 001; Jennifer D'Souza 001; Andreas Geiger 001; Christian Greisinger; Stephanie Gross; Yufang Hou 001; Brigitte Krenn; Anne Lauscher; Yizhi Li; Chenghua Lin; Nafise Sadat Moosavi; et al. (CoRR, 2025)

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. - Radu Marinescu 002; Debarun Bhattacharjya; Junkyu Lee 001; Tigran T. Tchrakian; Javier Carnerero-Cano; Yufang Hou 001; Elizabeth Daly; Alessandra Pascale (CoRR, 2025)

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration. - Yoo Yeon Sung; Eve Fleisig; Yufang Hou 001; Ishan Upadhyay; Jordan Lee Boyd-Graber (CoRR, 2025)

Enhancing Study-Level Inference from Clinical Trial Papers via RL-based Numeric Reasoning. - Massimiliano Pronesti; Michela Lorandi; Paul Flanagan; Oisin Redmond; Anya Belz; Yufang Hou 001 (CoRR, 2025)