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2020 – today
- 2024
[c129]Robert Vacareanu, Enrique Noriega-Atala, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Active Learning Design Choices for NER with Transformers. LREC/COLING 2024: 321-334- [c128]Haris Riaz, Razvan-Gabriel Dumitru, Mihai Surdeanu:
ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition. LREC/COLING 2024: 5622-5636 - [c127]Fahmida Alam, Md. Asiful Islam, Robert Vacareanu, Mihai Surdeanu:
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation. LREC/COLING 2024: 16592-16606 - [c126]Caren Al Anaissy, Sandeep Suntwal, Mihai Surdeanu, Srdjan Vesic:
On Learning Bipolar Gradual Argumentation Semantics with Neural Networks. ICAART (2) 2024: 493-499 - [c125]Vlad-Andrei Negru, Robert Vacareanu, Camelia Lemnaru, Mihai Surdeanu, Rodica Potolea:
From Text to Taste: Advancing Smart Appliances with Multilingual Recipe Interpretation. ICDEW 2024: 13-20 - [c124]Shahriar Golchin, Mihai Surdeanu:
Time Travel in LLMs: Tracing Data Contamination in Large Language Models. ICLR 2024 - [c123]Robert Vacareanu, Fahmida Alam, Md. Asiful Islam, Haris Riaz, Mihai Surdeanu:
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification. NAACL-HLT (Findings) 2024: 2576-2594 - [i49]Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai Surdeanu:
Enhancing Transformer RNNs with Multiple Temporal Perspectives. CoRR abs/2402.02625 (2024) - [i48]Robert Vacareanu, Fahmida Alam, Md. Asiful Islam, Haris Riaz, Mihai Surdeanu:
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification. CoRR abs/2403.03305 (2024) - [i47]Haris Riaz, Razvan-Gabriel Dumitru, Mihai Surdeanu:
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition. CoRR abs/2403.17385 (2024) - [i46]Fahmida Alam, Md. Asiful Islam, Robert Vacareanu, Mihai Surdeanu:
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation. CoRR abs/2404.04445 (2024) - [i45]Robert Vacareanu, Vlad-Andrei Negru, Vasile Suciu, Mihai Surdeanu:
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples. CoRR abs/2404.07544 (2024) - [i44]Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu:
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels. CoRR abs/2406.17415 (2024) - [i43]Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang:
Data Contamination Report from the 2024 CONDA Shared Task. CoRR abs/2407.21530 (2024) - [i42]Shahriar Golchin, Mihai Surdeanu, Steven Bethard, Eduardo Blanco, Ellen Riloff:
Memorization In In-Context Learning. CoRR abs/2408.11546 (2024) - 2023
- [j17]Zheng Tang, Mihai Surdeanu:
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers. Comput. Linguistics 49(1): 117-156 (2023) - [c122]Zheng Tang, Mihai Surdeanu:
Bootstrapping Neural Relation and Explanation Classifiers. ACL (2) 2023: 48-56 - [c121]Enfa George, Mihai Surdeanu:
It's not Sexually Suggestive; It's Educative | Separating Sex Education from Suggestive Content on TikTok videos. ACL (Findings) 2023: 5904-5915 - [c120]Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian:
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints. ACL (1) 2023: 9496-9510 - [c119]Portia Cooper
, Mihai Surdeanu, Eduardo Blanco:
Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs. EMNLP (Findings) 2023: 2922-2929 - [c118]Alice Saebom Kwak, Cheonkam Jeong, Gaetano Forte, Derek E. Bambauer, Clayton T. Morrison, Mihai Surdeanu:
Information Extraction from Legal Wills: How Well Does GPT-4 Do? EMNLP (Findings) 2023: 4336-4353 - [c117]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. RepL4NLP@ACL 2023: 13-21 - [c116]Mahdi Rahimi, Mihai Surdeanu:
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates. RepL4NLP@ACL 2023: 187-195 - [c115]Maria Alexeeva, Caroline Hyland, Keith Alcock, Allegra Argent Beal Cohen, Hubert Kanyamahanga, Isaac Kobby Anni, Mihai Surdeanu:
Annotating and Training for Population Subjective Views. WASSA@ACL 2023: 416-430 - [i41]Zhengzhong Liang, Zeyu Zhang, Steven Bethard, Mihai Surdeanu:
Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning. CoRR abs/2305.00061 (2023) - [i40]Enfa George, Mihai Surdeanu:
It is not Sexually Suggestive, It is Educative. Separating Sex Education from Suggestive Content on TikTok Videos. CoRR abs/2307.03274 (2023) - [i39]Sushma Anand Akoju, Robert Vacareanu, Haris Riaz, Eduardo Blanco, Mihai Surdeanu:
Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference. CoRR abs/2307.05034 (2023) - [i38]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. CoRR abs/2307.07160 (2023) - [i37]Shahriar Golchin, Mihai Surdeanu:
Time Travel in LLMs: Tracing Data Contamination in Large Language Models. CoRR abs/2308.08493 (2023) - [i36]Fan Luo, Mihai Surdeanu:
Perturbation-based Active Learning for Question Answering. CoRR abs/2311.02345 (2023) - [i35]Fan Luo, Mihai Surdeanu:
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval. CoRR abs/2311.02616 (2023) - [i34]Shahriar Golchin, Mihai Surdeanu:
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models. CoRR abs/2311.06233 (2023) - 2022
- [c114]Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. SDU@AAAI 2022 - [c113]Maria Alexeeva, Allegra A. Beal, Mihai Surdeanu:
Combining Extraction and Generation for Constructing Belief-Consequence Causal Links. Insights@ACL 2022: 159-164 - [c112]Zhengzhong Liang, Enrique Noriega-Atala, Clayton T. Morrison, Mihai Surdeanu:
Low Resource Causal Event Detection from Biomedical Literature. BioNLP@ACL 2022: 252-263 - [c111]Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian:
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. EMNLP (Findings) 2022: 5093-5104 - [c110]Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu:
Validity Assessment of Legal Will Statements as Natural Language Inference. EMNLP (Findings) 2022: 6047-6056 - [c109]Mahdi Rahimi, Mihai Surdeanu:
Do Transformer Networks Improve the Discovery of Rules from Text? LREC 2022: 3706-3714 - [c108]Fan Luo, Mihai Surdeanu:
A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion. LREC 2022: 4552-4560 - [c107]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Gustave Hahn-Powell, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. LREC 2022: 6180-6189 - [c106]Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian:
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. LREC 2022: 6922-6931 - [c105]Roya Kabiri, Simin Karimi, Mihai Surdeanu:
Informal Persian Universal Dependency Treebank. LREC 2022: 7096-7105 - [c104]Andrew Zupon, Andrew Carnie, Michael Hammond, Mihai Surdeanu:
Automatic Correction of Syntactic Dependency Annotation Differences. LREC 2022: 7106-7112 - [i33]Roya Kabiri, Simin Karimi, Mihai Surdeanu:
Informal Persian Universal Dependency Treebank. CoRR abs/2201.03679 (2022) - [i32]Andrew Zupon, Andrew Carnie, Michael Hammond, Mihai Surdeanu:
Automatic Correction of Syntactic Dependency Annotation Differences. CoRR abs/2201.05891 (2022) - [i31]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. CoRR abs/2202.00475 (2022) - [i30]Zheng Tang, Mihai Surdeanu:
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers. CoRR abs/2204.11424 (2022) - [i29]Zhengzhong Liang, Tushar Khot, Steven Bethard, Mihai Surdeanu, Ashish Sabharwal:
Better Retrieval May Not Lead to Better Question Answering. CoRR abs/2205.03685 (2022) - [i28]Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian:
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms. CoRR abs/2205.04652 (2022) - [i27]Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison:
Learning Open Domain Multi-hop Search Using Reinforcement Learning. CoRR abs/2205.15281 (2022) - [i26]Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
A Compact Pretraining Approach for Neural Language Models. CoRR abs/2208.12367 (2022) - [i25]Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian:
BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. CoRR abs/2210.14814 (2022) - [i24]Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu:
Validity Assessment of Legal Will Statements as Natural Language Inference. CoRR abs/2210.16989 (2022) - 2021
- [c103]Zhengzhong Liang, Yiyun Zhao, Mihai Surdeanu:
Using the Hammer only on Nails: A Hybrid Method for Representation-Based Evidence Retrieval for Question Answering. ECIR (1) 2021: 327-341 - [c102]Hoang Van, Zheng Tang, Mihai Surdeanu:
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks. EMNLP (Findings) 2021: 4074-4080 - [c101]Mitch Paul Mithun, Sandeep Suntwal, Mihai Surdeanu:
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification. EMNLP (1) 2021: 6968-6973 - [c100]Zhengzhong Liang, Steven Bethard, Mihai Surdeanu:
Explainable Multi-hop Verbal Reasoning Through Internal Monologue. NAACL-HLT 2021: 1225-1250 - [c99]Mitch Paul Mithun, Sandeep Suntwal, Mihai Surdeanu:
Data and Model Distillation as a Solution for Domain-transferable Fact Verification. NAACL-HLT 2021: 4546-4552 - [c98]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. NAACL-HLT 2021: 4571-4581 - [c97]Hoang Van, Vikas Yadav, Mihai Surdeanu:
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. SIGIR 2021: 2116-2120 - [i23]Hoang Van, Vikas Yadav, Mihai Surdeanu:
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. CoRR abs/2106.04134 (2021) - [i22]Hoang Van, Zheng Tang, Mihai Surdeanu:
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks. CoRR abs/2109.04604 (2021) - [i21]Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. CoRR abs/2112.09288 (2021) - 2020
- [c96]Zheng Tang, Gus Hahn-Powell, Mihai Surdeanu:
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder. ACL (student) 2020: 169-175 - [c95]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. ACL 2020: 4514-4525 - [c94]Andrew Zupon, Faiz Rafique, Mihai Surdeanu:
An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios. Insights 2020: 66-70 - [c93]Zhengzhong Liang, Mihai Surdeanu:
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? Insights 2020: 76-81 - [c92]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Mihai Surdeanu:
An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification. COLING 2020: 3346-3356 - [c91]Robert Vacareanu, George Caique Gouveia Barbosa, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Parsing as Tagging. LREC 2020: 5225-5231 - [c90]Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, Rebecca Sharp, Mihai Surdeanu:
Towards the Necessity for Debiasing Natural Language Inference Datasets. LREC 2020: 6883-6888 - [c89]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. SIGIR 2020: 1625-1628 - [i20]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. CoRR abs/2005.01218 (2020) - [i19]Zhengzhong Liang, Yiyun Zhao, Mihai Surdeanu:
Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering. CoRR abs/2009.10791 (2020) - [i18]Hoang Van, Ahmad Musa, Mihai Surdeanu, Stephen G. Kobourov:
The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19. CoRR abs/2010.07466 (2020)
2010 – 2019
- 2019
- [c88]Hoang Van, Ahmad Musa, Hang Chen, Stephen G. Kobourov, Mihai Surdeanu:
What does the language of foods say about us? LOUHI@EMNLP 2019: 87-96 - [c87]Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. SPNLP@NAACL-HLT 2019: 18-28 - [c86]Fan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu:
Semi-Supervised Teacher-Student Architecture for Relation Extraction. SPNLP@NAACL-HLT 2019: 29-37 - [c85]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. EMNLP/IJCNLP (1) 2019: 2578-2589 - [c84]Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu:
On the Importance of Delexicalization for Fact Verification. EMNLP/IJCNLP (1) 2019: 3411-3416 - [c83]George Caique Gouveia Barbosa, Zechy Wong, Gus Hahn-Powell, Dane Bell, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text. NAACL-HLT (Demonstrations) 2019: 12-17 - [c82]Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu:
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47 - [c81]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Alignment over Heterogeneous Embeddings for Question Answering. NAACL-HLT (1) 2019: 2681-2691 - [c80]Vikas Yadav, Egoitz Laparra, Ti-Tai Wang, Mihai Surdeanu, Steven Bethard:
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities. SemEval@NAACL-HLT 2019: 1319-1323 - [c79]Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu:
Exploration of Noise Strategies in Semi-supervised Named Entity Classification. *SEM@NAACL-HLT 2019: 186-191 - [e1]Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavas, Martin Riedl, Mihai Surdeanu, Michalis Vazirgiannis:
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-86-4 [contents] - [i17]Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu:
On the Importance of Delexicalization for Fact Verification. CoRR abs/1909.09868 (2019) - [i16]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. CoRR abs/1911.07176 (2019) - 2018
- [j16]Marco Antonio Valenzuela-Escárcega, Özgün Babur, Gus Hahn-Powell, Dane Bell, Thomas Hicks, Enrique Noriega-Atala, Xia Wang, Mihai Surdeanu, Emek Demir, Clayton T. Morrison:
Large-scale automated machine reading discovers new cancer-driving mechanisms. Database J. Biol. Databases Curation 2018: bay098 (2018) - [j15]Heather C. Lent, Gustave Hahn-Powell, Asher Haug-Baltzell, Sean Davey, Mihai Surdeanu, Eric Lyons:
Science Citation Knowledge Extractor. Frontiers Res. Metrics Anal. 3: 35 (2018) - [c78]Dane Bell, Egoitz Laparra, Aditya Kousik, Terron Ishihara, Mihai Surdeanu, Stephen G. Kobourov:
Detecting Diabetes Risk from Social Media Activity. Louhi@EMNLP 2018: 1-11 - [c77]Md. Iqbal Hossain, Stephen G. Kobourov, Helen C. Purchase, Mihai Surdeanu:
REMatch: Research Expert Matching System. BDVA 2018: 1-10 - [c76]Ajay Nagesh, Mihai Surdeanu:
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification. COLING 2018: 2312-2324 - [c75]Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu, Niranjan Balasubramanian:
Controlling Information Aggregation for Complex Question Answering. ECIR 2018: 750-757 - [c74]Mithun Paul, Rebecca Sharp, Mihai Surdeanu:
A mostly unlexicalized model for recognizing textual entailment. FEVER@EMNLP 2018: 166-171 - [c73]Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang:
Visual Supervision in Bootstrapped Information Extraction. EMNLP 2018: 2043-2053 - [c72]Mohammadreza Ebrahimi, Mihai Surdeanu, Sagar Samtani, Hsinchun Chen:
Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach. ISI 2018: 85-90 - [c71]Angus G. Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. LREC 2018 - [c70]Luwen Huangfu, Mihai Surdeanu:
Bootstrapping Polar-Opposite Emotion Dimensions from Online Reviews. LREC 2018 - [c69]Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, Mihai Surdeanu:
Grounding Gradable Adjectives through Crowdsourcing. LREC 2018 - [c68]Benjamin Gaska, Chris Gniady, Mihai Surdeanu:
MLStar: Machine Learning in Energy Profile Estimation of Android Apps. MobiQuitous 2018: 216-225 - [c67]Ajay Nagesh, Mihai Surdeanu:
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift. NAACL-HLT (2) 2018: 352-358 - [c66]Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. SIGIR 2018: 1217-1220 - [c65]Fan Luo, Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Scientific Discovery as Link Prediction in Influence and Citation Graphs. TextGraphs@NAACL-HLT 2018: 1-6 - [i15]Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. CoRR abs/1805.11545 (2018) - [i14]Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. CoRR abs/1807.01836 (2018) - 2017
- [j14]Peter Jansen, Rebecca Sharp, Mihai Surdeanu, Peter Clark:
Framing QA as Building and Ranking Intersentence Answer Justifications. Comput. Linguistics 43(2): 407-449 (2017) - [j13]Heeyoung Lee, Mihai Surdeanu, Dan Jurafsky:
A scaffolding approach to coreference resolution integrating statistical and rule-based models. Nat. Lang. Eng. 23(5): 733-762 (2017) - [c64]Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph. ACL (System Demonstrations) 2017: 103-108 - [c63]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond:
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. CoNLL 2017: 69-79 - [c62]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. EMNLP 2017: 2905-2910 - [i13]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. CoRR abs/1709.00149 (2017) - [i12]Angus Graeme Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. CoRR abs/1711.00529 (2017) - 2016
- [c61]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu:
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. BioNLP@ACL 2016: 56-65 - [c60]Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
This before That: Causal Precedence in the Biomedical Domain. BioNLP@ACL 2016: 146-155 - [c59]Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark:
What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. COLING 2016: 2956-2965 - [c58]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond:
Creating Causal Embeddings for Question Answering with Minimal Supervision. EMNLP 2016: 138-148 - [c57]Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov:
Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness. LREC 2016 - [c56]Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Sieve-based Coreference Resolution in the Biomedical Domain. LREC 2016 - [c55]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Odin's Runes: A Rule Language for Information Extraction. LREC 2016 - [i11]Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
An investigation of coreference phenomena in the biomedical domain. CoRR abs/1603.03758 (2016) - [i10]Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen G. Kobourov:
Towards using social media to identify individuals at risk for preventable chronic illness. CoRR abs/1603.03784 (2016) - [i9]Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
This before That: Causal Precedence in the Biomedical Domain. CoRR abs/1606.08089 (2016) - [i8]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu:
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. CoRR abs/1606.09604 (2016) - [i7]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond:
Creating Causal Embeddings for Question Answering with Minimal Supervision. CoRR abs/1609.08097 (2016) - 2015
- [j12]Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark:
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. Trans. Assoc. Comput. Linguistics 3: 197-210 (2015) - [c54]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu, Thomas Hicks:
A Domain-independent Rule-based Framework for Event Extraction. ACL (System Demonstrations) 2015: 127-132 - [c53]Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega:
Two Practical Rhetorical Structure Theory Parsers. HLT-NAACL 2015: 1-5 - [c52]Rebecca Sharp, Peter Jansen, Mihai Surdeanu, Peter Clark:
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. HLT-NAACL 2015: 231-237 - [c51]Ander Intxaurrondo, Eneko Agirre, Oier Lopez de Lacalle, Mihai Surdeanu:
Diamonds in the Rough: Event Extraction from Imperfect Microblog Data. HLT-NAACL 2015: 641-650 - [i6]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Description of the Odin Event Extraction Framework and Rule Language. CoRR abs/1509.07513 (2015) - 2014
- [c50]Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, David McClosky:
The Stanford CoreNLP Natural Language Processing Toolkit. ACL (System Demonstrations) 2014: 55-60 - [c49]Peter Jansen, Mihai Surdeanu, Peter Clark:
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking. ACL (1) 2014: 977-986 - [c48]Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov, Melanie Hingle, Dane Bell:
Analyzing the language of food on social media. IEEE BigData 2014: 778-783 - [c47]Heeyoung Lee, Mihai Surdeanu, Bill MacCartney, Dan Jurafsky:
On the Importance of Text Analysis for Stock Price Prediction. LREC 2014: 1170-1175 - [c46]Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky:
Event Extraction Using Distant Supervision. LREC 2014: 4527-4531 - [c45]Anh Tran, Mihai Surdeanu, Paul R. Cohen:
Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge. *SEM@COLING 2014: 121-131 - [i5]Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov, Melanie Hingle, Dane Bell:
Analyzing the Language of Food on Social Media. CoRR abs/1409.2195 (2014) - 2013
- [j11]Beñat Zapirain, Eneko Agirre, Lluís Màrquez, Mihai Surdeanu:
Selectional Preferences for Semantic Role Classification. Comput. Linguistics 39(3): 631-663 (2013) - [j10]Heeyoung Lee, Angel X. Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky:
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. Comput. Linguistics 39(4): 885-916 (2013) - [j9]Ander Intxaurrondo, Mihai Surdeanu, Oier Lopez de Lacalle, Eneko Agirre:
Removing Noisy Mentions for Distant Supervision. Proces. del Leng. Natural 51: 41-48 (2013) - [c44]Mihai Surdeanu, Sara Jeruss:
Identifying patent monetization entities. ICAIL 2013: 131-139 - [i4]Mihai Surdeanu:
Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling. TAC 2013 - 2012
- [j8]David McClosky, Sebastian Riedel, Mihai Surdeanu, Andrew McCallum, Christopher D. Manning:
Combining joint models for biomedical event extraction. BMC Bioinform. 13(S-11): S9 (2012) - [j7]David Dominguez-Sal, Josep Aguilar-Saborit, Mihai Surdeanu, Josep Lluís Larriba-Pey:
Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines. IEEE Trans. Parallel Distributed Syst. 23(4): 776-784 (2012) - [c43]Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning:
Multi-instance Multi-label Learning for Relation Extraction. EMNLP-CoNLL 2012: 455-465 - [c42]Heeyoung Lee, Marta Recasens, Angel X. Chang, Mihai Surdeanu, Dan Jurafsky:
Joint Entity and Event Coreference Resolution across Documents. EMNLP-CoNLL 2012: 489-500 - 2011
- [j6]Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Learning to Rank Answers to Non-Factoid Questions from Web Collections. Comput. Linguistics 37(2): 351-383 (2011) - [c41]Mihai Surdeanu, David McClosky, Mason Smith, Andrey Gusev, Christopher D. Manning:
Customizing an Information Extraction System to a New Domain. RELMS@ACL 2011: 2-10 - [c40]David McClosky, Mihai Surdeanu, Christopher D. Manning:
Event Extraction as Dependency Parsing. ACL 2011: 1626-1635 - [c39]David McClosky, Mihai Surdeanu, Christopher D. Manning:
Event Extraction as Dependency Parsing for BioNLP 2011. BioNLP@ACL (Shared Task) 2011: 41-45 - [c38]Sebastian Riedel, David McClosky, Mihai Surdeanu, Andrew McCallum, Christopher D. Manning:
Model Combination for Event Extraction in BioNLP 2011. BioNLP@ACL (Shared Task) 2011: 51-55 - [c37]Heeyoung Lee, Yves Peirsman, Angel X. Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky:
Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. CoNLL Shared Task 2011: 28-34 - [c36]Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning:
Risk analysis for intellectual property litigation. ICAIL 2011: 116-120 - [i3]Mihai Surdeanu, Sonal Gupta, John Bauer, David McClosky, Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning:
Stanford's Distantly-Supervised Slot-Filling System. TAC 2011 - [i2]Mihai Surdeanu, Lluís Màrquez, Xavier Carreras, Pere Comas:
Combination Strategies for Semantic Role Labeling. CoRR abs/1110.0029 (2011) - 2010
- [c35]Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nate Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher D. Manning:
A Multi-Pass Sieve for Coreference Resolution. EMNLP 2010: 492-501 - [c34]Beñat Zapirain, Eneko Agirre, Lluís Màrquez, Mihai Surdeanu:
Improving Semantic Role Classification with Selectional Preferences. HLT-NAACL 2010: 373-376 - [c33]Mihai Surdeanu, Christopher D. Manning:
Ensemble Models for Dependency Parsing: Cheap and Good? HLT-NAACL 2010: 649-652 - [i1]Mihai Surdeanu, David McClosky, Julie Tibshirani, John Bauer, Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning:
A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task. TAC 2010
2000 – 2009
- 2009
- [c32]Jan Hajic, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, Maria Antònia Martí, Lluís Màrquez, Adam Meyers, Joakim Nivre, Sebastian Padó, Jan Stepánek, Pavel Stranák, Mihai Surdeanu, Nianwen Xue, Yi Zhang:
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages. CoNLL Shared Task 2009: 1-18 - [c31]Katja Filippova, Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Company-Oriented Extractive Summarization of Financial News. EACL 2009: 246-254 - [c30]David Dominguez-Sal, Mihai Surdeanu, Josep Aguilar-Saborit, Josep Lluís Larriba-Pey:
Cache-aware load balancing for question answering. JISBD 2009: 207-207 - [p1]Jordi Turmo, Mihai Surdeanu, Olivier Galibert, Sophie Rosset:
Language Technologies: Question Answering in Speech Transcripts. Computers in the Human Interaction Loop 2009: 75-86 - 2008
- [c29]Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Learning to Rank Answers on Large Online QA Collections. ACL 2008: 719-727 - [c28]Mihai Surdeanu, Roser Morante, Lluís Màrquez:
Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan. CICLing 2008: 206-218 - [c27]David Dominguez-Sal, Mihai Surdeanu, Josep Aguilar-Saborit, Josep Lluís Larriba-Pey:
Cache-aware load balancing for question answering. CIKM 2008: 1271-1280 - [c26]Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez, Joakim Nivre:
The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. CoNLL 2008: 159-177 - [c25]Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell'Orletta, Mihai Surdeanu:
DeSRL: A Linear-Time Semantic Role Labeling System. CoNLL 2008: 258-262 - 2007
- [j5]Mihai Surdeanu, Lluís Màrquez, Xavier Carreras, Pere Comas:
Combination Strategies for Semantic Role Labeling. J. Artif. Intell. Res. 29: 105-151 (2007) - [c24]Pere Comas, Jordi Turmo, Mihai Surdeanu:
Robust Question Answering for Speech Transcripts Using Minimal Syntactic Analysis. CLEF 2007: 424-432 - [c23]Pere Comas, Jordi Turmo, Mihai Surdeanu:
Robust Question Answering for Speech Transcripts Using Minimal Syntactic Analysis. CLEF (Working Notes) 2007 - [c22]David Dominguez-Sal, Josep Lluís Larriba-Pey, Mihai Surdeanu:
A Multi-layer Collaborative Cache for Question Answering. Euro-Par 2007: 295-306 - [c21]Lluís Màrquez, Lluís Padró, Mihai Surdeanu, Luis Villarejo:
UPC: Experiments with Joint Learning within SemEval Task 9. SemEval@ACL 2007: 426-429 - [c20]Jordi Poveda, Mihai Surdeanu, Jordi Turmo:
A Comparison of Statistical and Rule-Induction Learners for Automatic Tagging of Time Expressions in English. TIME 2007: 141-149 - 2006
- [j4]David Dominguez-Sal, Mihai Surdeanu:
A Machine Learning Approach for Factoid Question Answering. Proces. del Leng. Natural 37 (2006) - [c19]Xavier Carreras, Mihai Surdeanu, Lluís Màrquez:
Projective Dependency Parsing with Perceptron. CoNLL 2006: 181-185 - [c18]Mihai Surdeanu, David Dominguez-Sal, Pere Comas:
Design and performance analysis of a factoid question answering system for spontaneous speech transcriptions. INTERSPEECH 2006 - 2005
- [c17]Mihai Surdeanu, Jordi Turmo:
Semantic Role Labeling Using Complete Syntactic Analysis. CoNLL 2005: 221-224 - [c16]Mihai Surdeanu, Jordi Turmo, Eli Comelles:
Named entity recognition from spontaneous open-domain speech. INTERSPEECH 2005: 3433-3436 - [c15]Mihai Surdeanu, Jordi Turmo, Alicia Ageno:
A hybrid unsupervised approach for document clustering. KDD 2005: 685-690 - [c14]Lluís Màrquez, Mihai Surdeanu, Pere Comas, Jordi Turmo:
A Robust Combination Strategy for Semantic Role Labeling. HLT/EMNLP 2005: 644-651 - [c13]Daniel Ferrés, Samir Kanaan, David Dominguez-Sal, Edgar González, Alicia Ageno, María Fuentes Fort, Horacio Rodríguez, Mihai Surdeanu, Jordi Turmo:
TALP-UPC at TREC 2005: Experiments Using a Voting Scheme Among Three Heterogeneous QA Systems. TREC 2005 - 2004
- [c12]Alicia Ageno, Daniel Ferrés, Edgar González, Samir Kanaan, Horacio Rodríguez, Mihai Surdeanu, Jordi Turmo:
TALP-QA System for Spanish at CLEF-2004. CLEF (Working Notes) 2004 - [c11]Daniel Ferrés, Samir Kanaan, Alicia Ageno, Edgar González, Horacio Rodríguez, Mihai Surdeanu, Jordi Turmo:
The TALP-QA System for Spanish at CLEF 2004: Structural and Hierarchical Relaxing of Semantic Constraints. CLEF 2004: 557-568 - [c10]Daniel Ferrés, Samir Kanaan, Edgar González, Alicia Ageno, Horacio Rodríguez, Mihai Surdeanu, Jordi Turmo:
TALP-QA System at TREC 2004: Structural and Hierarchical Relaxation Over Semantic Constraints. TREC 2004 - 2003
- [j3]Dan I. Moldovan, Marius Pasca, Sanda M. Harabagiu, Mihai Surdeanu:
Performance issues and error analysis in an open-domain question answering system. ACM Trans. Inf. Syst. 21(2): 133-154 (2003) - [c9]Mihai Surdeanu, Sanda M. Harabagiu, John Williams, Paul Aarseth:
Using Predicate-Argument Structures for Information Extraction. ACL 2003: 8-15 - 2002
- [j2]Mihai Surdeanu, Dan I. Moldovan, Sanda M. Harabagiu:
Performance Analysis of a Distributed Question/Answering System. IEEE Trans. Parallel Distributed Syst. 13(6): 579-596 (2002) - [j1]Mihai Surdeanu, Dan I. Moldovan:
Design and Performance Analysis of a Distributed Java Virtual Machine. IEEE Trans. Parallel Distributed Syst. 13(6): 611-627 (2002) - [c8]Dan I. Moldovan, Marius Pasca, Sanda M. Harabagiu, Mihai Surdeanu:
Performance Issues and Error Analysis in an Open-Domain Question Answering System. ACL 2002: 33-40 - [c7]Dan I. Moldovan, Mihai Surdeanu:
On the Role of Information Retrieval and Information Extraction in Question Answering Systems. SCIE 2002: 129-147 - 2001
- [c6]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu:
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering. ACL 2001: 274-281 - [c5]Sanda M. Harabagiu, Mihai Surdeanu, Paul Morarescu:
Automatic Discovery of Linguistic Patterns for Information Extraction. FLAIRS 2001: 449-453 - [c4]Mihai Surdeanu, Dan I. Moldovan, Sanda M. Harabagiu:
Performance Analysis of a Distributed Question/Answering System. IPDPS 2001: 19 - [c3]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Mihai Surdeanu, Rada Mihalcea, Roxana Girju, Vasile Rus, V. Finley Lacatusu, Paul Morarescu, Razvan C. Bunescu:
Answering Complex, List and Context Questions with LCC's Question-Answering Server. TREC 2001 - 2000
- [c2]Mihai Surdeanu:
Distributed Java Virtual Machine for Message Passing Architectures. ICDCS 2000: 128-135 - [c1]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu:
FALCON: Boosting Knowledge for Answer Engines. TREC 2000
Coauthor Index
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