← Authors

Mihai Surdeanu

104 papers · 2001–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (24) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (12) πŸ‘₯ Mega-Team (28) πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner (10) πŸ’Ž Century Club (103) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12) πŸ—ƒοΈ Keyword Collector (273)

Conferences

EMNLP (31) ACL (24) NAACL (23) CONLL (9) COLING (7) IJCNLP (4) SEMEVAL (3) AACL (1) EACL (1) ICLR (1)

Top co-authors

Rebecca Sharp (12) Marco A. Valenzuela-EscΓ‘rcega (12) Steven Bethard (10) Vikas Yadav (10) Robert Vacareanu (9) Clayton Morrison (8) Gus Hahn-Powell (8) Enrique Noriega-Atala (7) Ajay Nagesh (6) Peter Jansen (6)

Keywords

text classification (13) large language model (12) information extraction (10) relation extraction (9) domain adaptation (8) natural language inference (7) semi-supervised learning (7) neural network (7) transfer learning (6) named entity recognition (5) question answering (5) zero-shot learning (5) unsupervised learning (5) named entity classification (4) in-context learning (4) knowledge graph (4) fact verification (4) few-shot learning (4) textual entailment (4) information retrieval (3)

Papers

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models ACL 2025
The Lies Characters Tell: Utilizing Large Language Models to Normalize Adversarial Unicode Perturbations ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing NAACL 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025
Can LLMs Judge Debates? Evaluating Non-Linear Reasoning via Argumentation Theory Semantics EMNLP 2025
A Framework to Retrieve Relevant Laws for Will Execution EMNLP 2025
Relation-Aware Prompting Makes Large Language Models Effective Zero-shot Relation Extractors EMNLP 2025
The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification AACL 2025
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models SEMEVAL 2025
The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification IJCNLP 2025
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy EMNLP 2024
Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios NAACL 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification NAACL 2024
Data Contamination Report from the 2024 CONDA Shared Task ACL 2024
Active Learning Design Choices for NER with Transformers COLING 2024
ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition COLING 2024
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation COLING 2024
Time Travel in LLMs: Tracing Data Contamination in Large Language Models ICLR 2024
The Grid: A semi-automated tool to support expert-driven modeling EMNLP 2024
Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction EMNLP 2024
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context EMNLP 2024
Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard? EMNLP 2023
Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs EMNLP 2023
Bootstrapping Neural Relation and Explanation Classifiers ACL 2023
Information Extraction from Legal Wills: How Well Does GPT-4 Do? EMNLP 2023
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates ACL 2023
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords ACL 2023
It’s not Sexually Suggestive; It’s Educative | Separating Sex Education from Suggestive Content on TikTok videos ACL 2023
Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference ACL 2023
Annotating and Training for Population Subjective Views ACL 2023
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints ACL 2023
Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction NAACL 2022
PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms COLING 2022
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples EMNLP 2022
Validity Assessment of Legal Will Statements as Natural Language Inference EMNLP 2022
Low Resource Causal Event Detection from Biomedical Literature ACL 2022
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction NAACL 2022
Combining Extraction and Generation for Constructing Belief-Consequence Causal Links ACL 2022
Learning Open Domain Multi-hop Search Using Reinforcement Learning NAACL 2022
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks EMNLP 2021
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification EMNLP 2021
Explainable Multi-hop Verbal Reasoning Through Internal Monologue NAACL 2021
Data and Model Distillation as a Solution for Domain-transferable Fact Verification NAACL 2021
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering NAACL 2021
Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder NAACL 2021
An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification COLING 2020
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering ACL 2020
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder ACL 2020
An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios EMNLP 2020
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? EMNLP 2020
Lightly-supervised Representation Learning with Global Interpretability NAACL 2019
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities SEMEVAL 2019
What does the language of foods say about us? EMNLP 2019
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13) EMNLP 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models NAACL 2019
Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text NAACL 2019
Alignment over Heterogeneous Embeddings for Question Answering NAACL 2019
Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods NAACL 2019
Semi-Supervised Teacher-Student Architecture for Relation Extraction NAACL 2019
On the Importance of Delexicalization for Fact Verification EMNLP 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering IJCNLP 2019
On the Importance of Delexicalization for Fact Verification IJCNLP 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering EMNLP 2019
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification COLING 2018
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift NAACL 2018
Detecting Diabetes Risk from Social Media Activity EMNLP 2018
A mostly unlexicalized model for recognizing textual entailment EMNLP 2018
Visual Supervision in Bootstrapped Information Extraction EMNLP 2018
Scientific Discovery as Link Prediction in Influence and Citation Graphs NAACL 2018
Learning what to read: Focused machine reading EMNLP 2017
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph ACL 2017
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification CONLL 2017
Creating Causal Embeddings for Question Answering with Minimal Supervision EMNLP 2016
What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING 2016
Diamonds in the Rough: Event Extraction from Imperfect Microblog Data NAACL 2015
A Domain-independent Rule-based Framework for Event Extraction ACL 2015
A Domain-independent Rule-based Framework for Event Extraction IJCNLP 2015
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering NAACL 2015
Two Practical Rhetorical Structure Theory Parsers NAACL 2015
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking ACL 2014
The Stanford CoreNLP Natural Language Processing Toolkit ACL 2014
Multi-instance Multi-label Learning for Relation Extraction CONLL 2012
Joint Entity and Event Coreference Resolution across Documents EMNLP 2012
Multi-instance Multi-label Learning for Relation Extraction EMNLP 2012
Joint Entity and Event Coreference Resolution across Documents CONLL 2012
Event Extraction as Dependency Parsing ACL 2011
Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task CONLL 2011
Improving Semantic Role Classification with Selectional Preferences NAACL 2010
A Multi-Pass Sieve for Coreference Resolution EMNLP 2010
Ensemble Models for Dependency Parsing: Cheap and Good? NAACL 2010
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages CONLL 2009
Company-Oriented Extractive Summarization of Financial News EACL 2009
The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies CONLL 2008
DeSRL: A Linear-Time Semantic Role Labeling System CONLL 2008
Learning to Rank Answers on Large Online QA Collections ACL 2008
UPC: Experiments with Joint Learning within SemEval Task 9 SEMEVAL 2007
Projective Dependency Parsing with Perceptron CONLL 2006
A Robust Combination Strategy for Semantic Role Labeling EMNLP 2005
Semantic Role Labeling Using Complete Syntactic Analysis CONLL 2005
Using Predicate-Argument Structures for Information Extraction ACL 2003
Performance Issues and Error Analysis in an Open-Domain Question Answering System ACL 2002
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering ACL 2001