Cognitive Science - GIDP

Research output

Scholarly Works per year 1964 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2023

• 1383 Article
• 201 Conference contribution
• 116 Chapter
• 86 Review article
• 172 More
  • 43 Comment/debate
  • 37 Paper
  • 33 Conference article
  • 23 Editorial
  • 14 Letter
  • 9 Book
  • 9 Short survey
  • 4 Foreword/postscript

Scholarly Works per year

Scholarly Works per year

Search results

• 2023

  Bootstrapping Neural Relation and Explanation Classifiers

  Tang, Z. & Surdeanu, M., 2023, Short Papers. Association for Computational Linguistics (ACL), p. 48-56 9 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bootstrapping 100%
  • Classifier 85%
  • Classifiers 50%
  • Train 34%
  • scenario 26%

• Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords

  Golchin, S., Surdeanu, M., Tavabi, N. & Kiapour, A., 2023, ACL 2023 - 8th Workshop on Representation Learning for NLP, RepL4NLP 2023 - Proceedings of the Workshop. Can, B., Mozes, M., Cahyawijaya, S., Saphra, N., Kassner, N., Ravfogel, S., Ravichander, A., Zhao, C., Augenstein, I., Rogers, A., Cho, K., Grefenstette, E. & Voita, L. (eds.). Association for Computational Linguistics (ACL), p. 13-21 9 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Masking 100%
  • Key Words 87%
  • Mask 82%
  • Masks 77%
  • Language Model 69%

• Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates

  Rahimi, M. & Surdeanu, M., 2023, ACL 2023 - 8th Workshop on Representation Learning for NLP, RepL4NLP 2023 - Proceedings of the Workshop. Can, B., Mozes, M., Cahyawijaya, S., Saphra, N., Kassner, N., Ravfogel, S., Ravichander, A., Zhao, C., Augenstein, I., Rogers, A., Cho, K., Grefenstette, E. & Voita, L. (eds.). Association for Computational Linguistics (ACL), p. 187-195 9 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entailment 100%
  • Template 90%
  • Natural language processing systems 26%
  • Natural Language Processing (NLP) 20%
  • performance 19%

• It's not Sexually Suggestive; It's Educative | Separating Sex Education from Suggestive Content on TikTok videos

  George, E. & Surdeanu, M., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 5904-5915 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sex Education 100%
  • sex education 75%
  • Education 58%
  • video 51%
  • Websites 29%

• NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints

  Bastan, M., Surdeanu, M. & Balasubramanian, N., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 9496-9510 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Text Generation 100%
  • Decoding 71%
  • Syntactic Constraints 65%
  • Syntactics 63%
  • Language Generation 47%

• Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference

  Akoju, S. A., Vacareanu, R., Riaz, H., Surdeanu, M. & Blanco, E., 2023, 1st Workshop on Natural Language Reasoning and Structured Explanations, NLRSE 2023 @ACL 2023 - Proceedings of the Workshop. Mishra, B. D., Durrett, G., Jansen, P., Ribeiro, D. N. & Wei, J. (eds.). Association for Computational Linguistics (ACL), p. 157-168 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural Language 100%
  • Modifier 88%
  • Inference 86%
  • Natural Logic 79%
  • Existential Quantifiers 77%

• Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering

  Dharma, K. C., Morrison, C. T. & Walls, B., 2023, Image and Vision Computing - 37th International Conference, IVCNZ 2022, Revised Selected Papers. Yan, W. Q., Nguyen, M. & Stommel, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 388-401 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13836 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Texture 100%
  • Rendering 99%
  • Textures 64%
  • Camera 40%
  • Learning Objects 30%
• 2022

  A comparison of probe geometries for neuronal localization

  Greene, P. & Lin, K. K., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., p. 4083-4087 5 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neurons 100%
  • Geometry 82%
  • Action Potentials 30%
  • Sorting 26%

• A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction

  Vacareanu, R., Barbosa, G. C. G., Noriega-Atala, E., Hahn-Powell, G., Sharp, R., Valenzuela-Escárcega, M. A. & Surdeanu, M., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), p. 64-70 7 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion

  Luo, F. & Surdeanu, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4552-4560 9 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Question Answering 100%
  • Graph 89%
  • Semantic Relations 70%
  • semantics 46%
  • Noun Phrase 31%

• Automatic Correction of Syntactic Dependency Annotation Differences

  Zupon, A., Carnie, A., Hammond, M. & Surdeanu, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 7106-7112 7 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Syntactic Dependency 100%
  • Annotation 66%
  • Parsing 57%
  • Parsers 51%
  • Replacement 46%

• Combining Extraction and Generation for Constructing Belief-Consequence Causal Links

  Alexeeva, M., Beal Cohen, A. A. & Surdeanu, M., 2022, Insights 2022 - 3rd Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop. Tafreshi, S., Sedoc, J., Rogers, A., Drozd, A., Rumshisky, A. & Akula, A. R. (eds.). Association for Computational Linguistics (ACL), p. 159-164 6 p. (Insights 2022 - 3rd Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Language Model 100%
  • Beliefs 67%
  • Language Modeling 58%
  • Rule Extraction 56%
  • Causal 49%
  1 Scopus citations

• Do Transformer Networks Improve the Discovery of Rules from Text?

  Rahimi, M. & Surdeanu, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 3706-3714 9 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Inference Rules 100%
  • Syntactic Dependency 58%
  • Natural Language Processing (NLP) 54%
  • Language Model 53%
  • Question Answering 44%
  2 Scopus citations

• From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction

  Vacareanu, R., Valenzuela-Escárcega, M. A., Barbosa, G. C. G., Sharp, R., Hahn-Powell, G. & Surdeanu, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 6180-6189 10 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information Extraction 100%
  • Scenarios 55%
  • scenario 48%
  • Performance Art 39%
  • Crafting 38%

• Informal Persian Universal Dependency Treebank

  Kabiri, R., Karimi, S. & Surdeanu, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 7096-7105 10 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Treebank 100%
  • Parsers 44%
  • Open Sources 23%
  • Broader Impacts 21%
  • performance 21%

• Learning Open Domain Multi-hop Search Using Reinforcement Learning

  Noriega-Atala, E., Surdeanu, M. & Morrison, C. T., 2022, SUKI 2022 - Workshop on Structured and Unstructured Knowledge Integration, Proceedings of the Workshop. Chen, W., Chen, X., Chen, Z., Yao, Z., Yasunaga, M., Yu, T., Yu, T. & Zhang, R. (eds.). Association for Computational Linguistics (ACL), p. 26-35 10 p. (SUKI 2022 - Workshop on Structured and Unstructured Knowledge Integration, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Markov processes 83%
  • Reinforcement learning 78%
  • Heuristic algorithms 78%
  • Information retrieval 76%

• Low Resource Causal Event Detection from Biomedical Literature

  Liang, Z., Noriega-Atala, E., Morrison, C. & Surdeanu, M., 2022, BioNLP 2022 @ ACL 2022 - Proceedings of the 21st Workshop on Biomedical Language Processing. Association for Computational Linguistics (ACL), p. 252-263 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Causal Relation 100%
  • Causal 68%
  • Resources 54%
  • event 48%
  • resources 37%
  2 Scopus citations

• Modular Procedural Generation for Voxel Maps

  Pyarelal, A., Banerjee, A. & Barnard, K., 2022, Computational Theory of Mind for Human-Machine Teams - 1st International Symposium, ToM for Teams 2021, Revised Selected Papers. Gurney, N. & Sukthankar, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 85-101 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13775 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Artificial intelligence 100%
  • Artificial Intelligence 81%
  • Libraries 74%
  • Spatial Cognition 69%
  • Virtual Environments 62%

• SuMe: A Dataset Towards Summarizing Biomedical Mechanisms

  Bastan, M., Shankar, N., Surdeanu, M. & Balasubramanian, N., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 6922-6931 10 p. (2022 Language Resources and Evaluation Conference, LREC 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Summarization 100%
  • Language Model 48%
  • performance 42%
  • Entity 24%
  • Language Understanding 23%
  1 Scopus citations

• Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction

  Hungerford, J., Chan, Y. S., MacBride, J., Gyori, B. M., Zupon, A., Tang, Z., Laparra, E., Qiu, H., Min, B., Zverev, Y., Hilverman, C., Thomas, M., Andrews, W., Alcock, K., Zhang, Z., Reynolds, M., Surdeanu, M., Bethard, S. & Sharp, R., 2022, HCI+NLP 2022 - 2nd Workshop on Bridging Human-Computer Interaction and Natural Language Processing, Proceedings of the Workshop. Blodgett, S. L., Daume, H., Madaio, M., Nenkova, A., O'Connor, B., Wallach, H. & Yang, Q. (eds.). Association for Computational Linguistics (ACL), p. 1-10 10 p. (HCI+NLP 2022 - 2nd Workshop on Bridging Human-Computer Interaction and Natural Language Processing, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Taxonomy 100%
  • Data-driven 86%
  • Taxonomies 80%
  • Information Extraction 65%
  • Language Model 30%
• 2021

  Asymmetric contextual modulation for infrared small target detection

  Dai, Y., Wu, Y., Zhou, F. & Barnard, K., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. Institute of Electrical and Electronics Engineers Inc., p. 949-958 10 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Target tracking 100%
  • Infrared radiation 90%
  • Modulation 80%
  • Ablation 64%
  • Semantics 35%
  165 Scopus citations

• Attentional feature fusion

  Dai, Y., Gieseke, F., Oehmcke, S., Wu, Y. & Barnard, K., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. Institute of Electrical and Electronics Engineers Inc., p. 3559-3568 10 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fusion reactions 100%
  • Electric fuses 25%
  • Network architecture 23%
  • Semantics 16%
  283 Scopus citations

• Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

  Van, H., Yadav, V. & Surdeanu, M., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2116-2120 5 p. 3463099. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
  4 Scopus citations

• Data and Model Distillation as a Solution for Domain-transferable Fact Verification

  Mithun, M. P., Suntwal, S. & Surdeanu, M., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4546-4552 7 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Distillation 100%
  • Natural language processing systems 29%
  • Neural networks 14%
  4 Scopus citations

• Data augmentation for low-resource grapheme-to-phoneme mapping

  Hammond, M., 2021, SIGMORPHON 2021 - 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop. Nicolai, G., Gorman, K. & Cotterell, R. (eds.). Association for Computational Linguistics (ACL), p. 126-130 5 p. (SIGMORPHON 2021 - 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • work technique 100%
  • Phonetic Transcription 97%
  • Grapheme 82%
  • Augmentation 78%
  • orthography 76%
  4 Scopus citations

• Explainable Multi-hop Verbal Reasoning Through Internal Monologue

  Liang, Z., Bethard, S. & Surdeanu, M., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1225-1250 26 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Scopus citations

• How May i Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

  Van, H., Tang, Z. & Surdeanu, M., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M-F., Huang, X., Specia, L. & Yih, S. W-T. (eds.). Association for Computational Linguistics (ACL), p. 4074-4080 7 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural Language Processing (NLP) 100%
  • Simplification 78%
  • Classifier 11%
  • Natural Language 9%
  • Real World 9%
  1 Scopus citations

• If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering

  Yadav, V., Bethard, S. & Surdeanu, M., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4571-4581 11 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Agglomeration 100%
  • Classifiers 81%
  • Experiments 40%
  4 Scopus citations

• Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder

  Tang, Z. & Surdeanu, M., 2021, TrustNLP 2021 - 1st Workshop on Trustworthy Natural Language Processing, Proceedings of the Workshop. Pruksachatkun, Y., Ramakrishna, A., Chang, K-W., Krishna, S., Dhamala, J., Guha, T. & Ren, X. (eds.). Association for Computational Linguistics (ACL), p. 1-7 7 p. (TrustNLP 2021 - 1st Workshop on Trustworthy Natural Language Processing, Proceedings of the Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bootstrapping 100%
  • Extractor 99%
  • Interpretability 95%
  • Classifier 85%
  • Classifiers 50%
  1 Scopus citations

• Lightly-supervised representation learning with global interpretability

  Zupon, A., Alexeeva, M., Valenzuela-Escárcega, M. A., Nagesh, A. & Surdeanu, M., 2021, NLP@NAACL-HLT 2019 - 3rd Workshop on Structured Prediction for NLP, Proceedings. Association for Computational Linguistics (ACL), p. 18-28 11 p. (NLP@NAACL-HLT 2019 - 3rd Workshop on Structured Prediction for NLP, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpretability 100%
  • Learning 68%
  • Bootstrapping 53%
  • Information Extraction 25%
  • Model 24%
  9 Scopus citations

• Semi-supervised teacher-student architecture for relation extraction

  Luo, F., Nagesh, A., Sharp, R. & Surdeanu, M., 2021, NLP@NAACL-HLT 2019 - 3rd Workshop on Structured Prediction for NLP, Proceedings. Association for Computational Linguistics (ACL), p. 29-37 9 p. (NLP@NAACL-HLT 2019 - 3rd Workshop on Structured Prediction for NLP, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semi-supervised Learning 100%
  • Semi-supervised learning 77%
  • Architecture 69%
  • Syntax 61%
  • Students 46%
  5 Scopus citations

• Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification

  Mithun, M. P., Suntwal, S. & Surdeanu, M., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 6968-6973 6 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Distillation 100%
  • Information Transfer 57%
  • Knowledge 56%
  • Students 54%
  • Overfitting 50%

• Using the Hammer only on Nails: A Hybrid Method for Representation-Based Evidence Retrieval for Question Answering

  Liang, Z., Zhao, Y. & Surdeanu, M., 2021, Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Hiemstra, D., Moens, M-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 327-341 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12656 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Question Answering 100%
  • Nails 91%
  • Retrieval 88%
  • Hammers 82%
  • Hybrid Method 79%
• 2020

  A Computational Model for Latent Learning based on Hippocampal Replay

  Scleidorovich, P., Llofriu, M., Fellous, J. M. & Weitzenfeld, A., Jul 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9206824. (Proceedings of the International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rats 100%
  • Reinforcement learning 21%
  • Animals 20%
  • Navigation 16%
  • Trajectories 14%
  2 Scopus citations

• An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification

  Vacareanu, R., Valenzuela-Escaŕcega, M. A., Sharp, R. & Surdeanu, M., 2020, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Scott, D., Bel, N. & Zong, C. (eds.). Association for Computational Linguistics (ACL), p. 3346-3356 11 p. (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning 100%
  • Semantics 94%
  • Recurrent neural networks 57%
  • Labels 46%
  • Chemical analysis 35%
  2 Scopus citations

• Attention as activation

  Dai, Y., Oehmcke, S., Gieseke, F., Wu, Y. & Barnard, K., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 4131-4136 6 p. 9413020. (Proceedings - International Conference on Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Chemical activation 100%
  • Ablation 13%
  2 Scopus citations

• Exploring interpretability in event extraction: Multitask learning of a neural event classifier and an explanation decoder

  Tang, Z., Hahn-Powell, G. & Surdeanu, M., 2020, ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Association for Computational Linguistics (ACL), p. 169-175 7 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multi-task learning 100%
  • Classifier 88%
  • Classifiers 52%
  • event 42%
  • learning 25%
  5 Scopus citations

• Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match

  Yadav, V., Bethard, S. & Surdeanu, M., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1625-1628 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information retrieval 100%
  • Classifiers 24%
  2 Scopus citations

• MathAlign: Linking formula identifiers to their contextual natural language descriptions

  Alexeeva, M., Sharp, R., Valenzuela-Escárcega, M. A., Kadowaki, J., Pyarelal, A. & Morrison, C., 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 2204-2212 9 p. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • information retrieval 100%
  • Open Sources 93%
  • Natural Language 88%
  • Contextual 79%
  • evaluation 41%
  10 Scopus citations

• Parsing as tagging

  Vacareanu, R., Barbosa, G. C. G., Valenzuela-Escarcega, M. A. & Surdeanu, M., 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 5225-5231 7 p. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tagging 100%
  • Parsing 85%
  • Tag 43%
  • Eat 37%
  • Tuning 21%
  9 Scopus citations

• Self-Stabilizing Task Allocation in Spite of Noise

  Dornhaus, A., Lynch, N., Mallmann-Trenn, F., Pajak, D. & Radeva, T., Jul 6 2020, SPAA 2020 - Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery, p. 201-211 11 p. (Annual ACM Symposium on Parallelism in Algorithms and Architectures).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Task Allocation 100%
  • Overload 34%
  • Feedback 33%
  • Demand 22%
  • Assignment 13%
  1 Scopus citations

• Towards the necessity for debiasing natural language inference datasets

  Panenghat, M. P., Suntwal, S., Rafique, F., Sharp, R. & Surdeanu, M., 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 6883-6888 6 p. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural Language 100%
  • Inference 86%
  • Neural Networks 74%
  • neural network 74%
  • performance 47%
  6 Scopus citations

• Unsupervised alignment-based iterative evidence retrieval for multi-hop question answering

  Yadav, V., Bethard, S. & Surdeanu, M., 2020, ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4514-4525 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Question Answering 100%
  • Alignment 75%
  • Justification 60%
  • evidence 36%
  • Selection Task 32%
  24 Scopus citations
• 2019

  A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies

  Llofriu, M., Scleidorovich, P., Tejera, G., Contreras, M., Pelc, T., Fellous, J. M. & Weitzenfeld, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851852. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Navigation 100%
  • Poles 75%
  • Rats 51%
  6 Scopus citations

• A gossip-based system for fast approximate score computation in multinomial Bayesian networks

  Zachariah, A., Rao, P., Katib, A., Senapati, M. & Barnard, K., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 1968-1971 4 p. 8731481. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bayesian networks 100%
  • Statistics 31%
  • Large dataset 30%
  • Learning algorithms 11%

• Alignment over heterogeneous embeddings for question answering

  Yadav, V., Bethard, S. & Surdeanu, M., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 2681-2691 11 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Question Answering 100%
  • Alignment 75%
  • performance 40%
  • Error Analysis 22%
  • abstraction 22%
  17 Scopus citations

• Bootstrapping polar-opposite emotion dimensions from online reviews

  Huangfu, L. & Surdeanu, M., 2019, LREC 2018 - 11th International Conference on Language Resources and Evaluation. Isahara, H., Maegaard, B., Piperidis, S., Cieri, C., Declerck, T., Hasida, K., Mazo, H., Choukri, K., Goggi, S., Mariani, J., Moreno, A., Calzolari, N., Odijk, J. & Tokunaga, T. (eds.). European Language Resources Association (ELRA), p. 613-618 6 p. (LREC 2018 - 11th International Conference on Language Resources and Evaluation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bootstrapping 100%
  • Online Texts 59%
  • Emotion 55%
  • emotion 52%
  • Polarity 38%
  1 Scopus citations

• Eidos, INDRA, & Delphi: From free text to executable causal models

  Sharp, R., Pyarelal, A., Gyori, B. M., Alcock, K., Laparra, E., Valenzuela-Escarcega, M. A., Nagesh, A., Yadav, V., Bachman, J. A., Tang, Z., Lent, H., Luo, F., Paul, M., Bethard, S., Barnard, K., Morrison, C. T. & Surdeanu, M., 2019, NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), p. 42-47 6 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Delphi 100%
  • Causal Model 99%
  • Statistical Models 68%
  • Food Insecurity 66%
  • Modeling 63%
  17 Scopus citations

• Enabling search and collaborative assembly of causal interactions extracted from multilingual and multi-domain free text

  Barbosa, G. C. G., Wong, Z., Hahn-Powell, G., Bell, D., Sharp, R., Valenzuela-Escarcega, M. A. & Surdeanu, M., 2019, NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), p. 12-17 6 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Public health 100%
  • Climate change 92%
  • Agglomeration 73%
  • Causal 66%
  • Graph 58%

• Exploration of noise strategies in semi-supervised named entity classification

  Narayan, P. L., Nagesh, A. & Surdeanu, M., 2019, *SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics (ACL), p. 186-191 6 p. (*SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semi-supervised Learning 100%
  • Semi-supervised learning 77%
  • Image classification 67%
  • Training 66%
  • Deep learning 56%
  9 Scopus citations