Faculty Profile

Eduardo Blanco

Title
Associate Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, The University of Texas at Dallas, 2011.
Major: Computer Science
BS, Technical University of Catalonia (Universitat Politècnica de Catalunya), 2007.
Major: Computer Science

Current Scheduled Teaching*

No current or future courses scheduled.

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 5900.817, Special Problems, Summer 10W 2021
CSCE 6933.916, Advanced Topics in Computer Science and Engineering, Spring 2021 SPOT
CSCE 2999Z.916, CSCE Research, Spring 2021
CSCE 5218.001, Deep Learning, Spring 2021 Syllabus SPOT
CSCE 5218.004, Deep Learning, Spring 2021 SPOT
CSCE 5218.008, Deep Learning, Spring 2021
CSCE 6950.916, Doctoral Dissertation, Spring 2021
CSCE 6940.916, Individual Research, Spring 2021
CSCE 4930.003, Topics in Computer Science and Engineering, Spring 2021 Syllabus SPOT
CSCE 5934.816, Directed Study, Fall 2020
CSCE 6950.816, Doctoral Dissertation, Fall 2020
CSCE 6940.816, Individual Research, Fall 2020
CSCE 4290.001, Introduction to Natural Language Processing, Fall 2020 Syllabus SPOT
CSCE 4290.004, Introduction to Natural Language Processing, Fall 2020 Syllabus SPOT
CSCE 5290.001, Natural Language Processing, Fall 2020 Syllabus SPOT
CSCE 5290.004, Natural Language Processing, Fall 2020 Syllabus SPOT
CSCE 4999.916, Senior Thesis, Fall 8W2 2020
CSCE 4380.001, Data Mining, Spring 2020 Syllabus
CSCE 5380.001, Data Mining, Spring 2020 Syllabus
CSCE 6950.916, Doctoral Dissertation, Spring 2020
CSCE 6940.916, Individual Research, Spring 2020
CSCE 5950.916, Master's Thesis, Spring 2020
CSCE 5934.816, Directed Study, Fall 2019
CSCE 6950.816, Doctoral Dissertation, Fall 2019
CSCE 6950.816, Doctoral Dissertation, Fall 8W2 2019
CSCE 6940.816, Individual Research, Fall 2019
CSCE 4290.001, Introduction to Natural Language Processing, Fall 2019 Syllabus SPOT
CSCE 5950.816, Master's Thesis, Fall 2019
CSCE 5290.001, Natural Language Processing, Fall 2019 SPOT
CSCE 5290.600, Natural Language Processing, Fall 2019 SPOT
CSCE 6940.817, Individual Research, Summer 10W 2019
CSCE 5380.001, Data Mining, Spring 2019 SPOT
CSCE 5380.002, Data Mining, Spring 8W2 2019
CSCE 6950.816, Doctoral Dissertation, Spring 2019
CSCE 6940.816, Individual Research, Spring 2019
CSCE 6950.816, Doctoral Dissertation, Fall 2018
CSCE 6940.816, Individual Research, Fall 2018
CSCE 4290.001, Introduction to Natural Language Processing, Fall 2018 Syllabus SPOT
CSCE 5290.001, Natural Language Processing, Fall 2018 SPOT
CSCE 6933.002, Advanced Topics in Computer Science and Engineering, Spring 2018 SPOT
CSCE 6950.816, Doctoral Dissertation, Spring 2018
CSCE 6940.816, Individual Research, Spring 2018
CSCE 6950.816, Doctoral Dissertation, Fall 2017
CSCE 6940.816, Individual Research, Fall 2017
CSCE 5950.816, Master's Thesis, Fall 2017
CSCE 5290.001, Natural Language Processing, Fall 2017 SPOT
CSCE 4930.004, Topics in Computer Science and Engineering, Fall 2017 Syllabus SPOT
CSCE 6290.021, Advanced Topics in Human/Machine Intelligence, Summer 8W2 2017
CSCE 4110.021, Algorithms, Summer 10W 2017 Syllabus
CSCE 6940.817, Individual Research, Summer 10W 2017
CSCE 3110.002, Data Structures and Algorithms, Spring 2017 Syllabus SPOT
CSCE 5934.816, Directed Study, Spring 2017
CSCE 6940.816, Individual Research, Spring 2017
CSCE 5950.816, Master's Thesis, Spring 2017
CSCE 5934.816, Directed Study, Fall 2016
CSCE 6940.816, Individual Research, Fall 2016
CSCE 5950.816, Master's Thesis, Fall 2016
CSCE 5290.001, Natural Language Processing, Fall 2016 SPOT
CSCE 4930.004, Topics in Computer Science and Engineering, Fall 2016 Syllabus SPOT
CSCE 6940.817, Individual Research, Summer 10W 2016
CSCE 4890.816, Directed Study, Spring 2016
CSCE 5934.816, Directed Study, Spring 2016
CSCE 6940.816, Individual Research, Spring 2016
CSCE 4999.817, Senior Thesis, Spring 2016 Syllabus
CSCE 4110.002, Algorithms, Fall 2015 Syllabus SPOT
CSCE 4890.816, Directed Study, Fall 2015
CSCE 6940.816, Individual Research, Fall 2015
CSCE 5290.001, Natural Language Processing, Fall 2015 SPOT
CSCE 4930.004, Topics in Computer Science and Engineering, Fall 2015 Syllabus SPOT
CSCE 4110.002, Algorithms, Spring 2015 Syllabus
CSCE 5290.001, Natural Language Processing, Fall 2014
CSCE 4930.004, Topics in Computer Science and Engineering, Fall 2014 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Abstracts and Proceedings
Chinnappa, D. I., Palmer, A. M., Blanco, E. (2018). Temporally-oriented possession: A corpus for tracking possession over time. Other. Proceedings of SCiL 2019. 2, . Society for Computation in Linguistics. https://scholarworks.umass.edu/scil/
Book
Blanco, E., Morante, R. (2018). Proceedings of the Workshop on Computational Semantics beyond Events and Roles. Proceedings of the Workshop on Computational Semantics beyond Events and Roles. Association for Computational Linguistics. http://aclweb.org/anthology/W18-1300
Blanco, E., Morante, R., Saurí, R. (2017). Proceedings of the Workshop Computational Semantics Beyond Events and Roles. Valencia, Spain: Association for Computational Linguistics. http://www.aclweb.org/anthology/W17-18
Blanco, E., Morante, R., Saurí, R. (2016). Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM). Osaka, Japan: The COLING 2016 Organizing Committee. http://aclweb.org/anthology/W16-50
Blanco, E., Morante, R., Sporleder, C. (2015). Proceedings of the Second Workshop on Extra-Propositional Aspects of Meaning in Computational Semantics (ExProM 2015). Denver, Colorado: Association for Computational Linguistics. http://www.aclweb.org/anthology/W15-13
Book Chapter
Blanco, E., Moldovan, D. (2011). Extracting Commonsense Knowl- edge Using Concepts Properties.. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches: Issues and Approaches. 341-353. IGI Global.
Blanco, E., Moldovan, D. (2011). Some Issues on Capturing the Meaning of Negated Statements. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches: Issues and Approaches. 103–113. IGI Global.
Conference Proceeding
Xiao, Z., Huang, Y., Blanco, E. (2023). Context Helps Determine Spatial Knowledge from Tweets. Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL). 149--160.
Sanders, J., Gudala, M., Hamilton, K., Prasad, N., Stovall, J., Blanco, E., Hamilton, J. E., Roberts, K. (2020). Extracting Adherence Information from Electronic Health Records. Proceedings of the 28th International Conference on Computational Linguistics. 680--695. Barcelona, Spain (Online): International Committee on Computational Linguistics. https://www.aclweb.org/anthology/2020.coling-main.60
Hossain, M. M., Kovatchev, V., Dutta, P., Kao, T., Wei, E., Blanco, E. (2020). An Analysis of Natural Language Inference Benchmarks through the Lens of Negation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 9106--9118. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.emnlp-main.732
Murugan, S., Chinnappa, D., Blanco, E. (2020). Determining Event Outcomes: The Case of \#fail. Findings of the Association for Computational Linguistics: EMNLP 2020. 4021--4033. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.findings-emnlp.359
Rashid, F., Fornaciari, T., Hovy, D., Blanco, E., Vega-Redondo, F. (2020). Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success. Findings of the Association for Computational Linguistics: EMNLP 2020. 2366--2371. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.findings-emnlp.214
Hossain, M. M., Anastasopoulos, A., Blanco, E., Palmer, A. M. (2020). It's not a Non-Issue: Negation as a Source of Error in Machine Translation. Findings of the Association for Computational Linguistics: EMNLP 2020. 3869--3885. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.findings-emnlp.345
Chinnappa, D., Murugan, S., Blanco, E. (2020). Beyond Possession Existence: Duration and Co-Possession. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 8332--8341. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.acl-main.739
Hossain, M. M., Hamilton, K., Palmer, A. M., Blanco, E. (2020). Predicting the Focus of Negation: Model and Error Analysis. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 8389--8401. Online: Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.acl-main.743
Jiménez-Zafra, S., Morante, R., Blanco, E., Martín Valdivia, M., Ureña López, L. (2020). Detecting Negation Cues and Scopes in Spanish. Proceedings of the 12th Language Resources and Evaluation Conference. 6902--6911. Marseille, France: European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.853
Chinnappa, D., Palmer, A. M., Blanco, E. (2020). WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts. Proceedings of the 12th Language Resources and Evaluation Conference. 1110--1117. Marseille, France: European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.140
Tarau, P., Blanco, E. (2020). Interactive Text Graph Mining with a Prolog-based Dialog Engine. Lecture Notes in Computer Science. (12007), 3-19. Springer. https://doi.org/10.1007/978-3-030-05998-9
Sarabi, Z., Blanco, E. (2019). Identifying the Focus of Negation Using Discourse Structure. Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference (FLAIRS). 448--452. https://aaai.org/ocs/index.php/FLAIRS/FLAIRS19/paper/view/18145
Chinnappa, D., Murugan, S., Blanco, E. (2019). Extracting Possessions from Social Media: Images Complement Language. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 663--672. Hong Kong, China: Association for Computational Linguistics. https://www.aclweb.org/anthology/D19-1061
Sarabi, Z., Killian, E., Blanco, E., Palmer, A. M. (2019). A Corpus of Negations and their Underlying Positive Interpretations. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019). 158--167. Minneapolis, Minnesota: Association for Computational Linguistics. https://www.aclweb.org/anthology/S19-1017
Singh, A., Blanco, E., Jin, W. (2019). Incorporating Emoji Descriptions Improves Tweet Classification. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2096--2101. Minneapolis, Minnesota: Association for Computational Linguistics. https://www.aclweb.org/anthology/N19-1214
Rashid, F., Blanco, E. (2018). Characterizing Interactions and Relationships between People. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 4395--4404. Association for Computational Linguistics. http://aclweb.org/anthology/D18-1470
Vempala, A., Blanco, E., Palmer, A. M. (2018). Determining Event Durations: Models and Error Analysis. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). 164--168. Association for Computational Linguistics. http://aclweb.org/anthology/N18-2026
Chinnappa, D., Blanco, E. (2018). Mining Possessions: Existence, Type and Temporal Anchors. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 496--505. Association for Computational Linguistics. http://aclweb.org/anthology/N18-1046
Chinnappa, D., Blanco, E. (2018). Possessors Change Over Time: A Case Study with Artworks. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2278--2287. Association for Computational Linguistics. http://aclweb.org/anthology/D18-1251
Alohaly, M., Takabi, H., Blanco, E. (2018). A Deep Learning Approach for Extracting Attributes of ABAC Policies. Proceedings of the 23rd ACM on Symposium on Access Control Models and Technologies. 137--148.
Sanagavarapu, K. C., Vempala, A., Blanco, E. (2017). Determining Whether and When People Participate in the Events They Tweet About. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Short Paper. 641-646. Vancouver, Canada: Association for Computational Linguistics. http://aclweb.org/anthology/P17-2101
Rashid, F., Blanco, E. (2017). Dimensions of Interpersonal Relationships: Corpus and Experiments. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2297--2306. Copenhagen, Denmark: Association for Computational Linguistics. https://www.aclweb.org/anthology/D17-1243
Sarabi, Z., Blanco, E. (2017). If No Media Were Allowed inside the Venue, Was Anybody Allowed?. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 860–869. Valencia, Spain: Association for Computational Linguistics. http://www.aclweb.org/anthology/E17-1081
Vempala, A., Blanco, E. (2016). Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI). 2652–2658. Phoenix, Arizona: AAAI Press. http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12258
Schwartz, H. A., Sap, M., Kern, M. L., Eichstaedt, J. C., Kapelner, A., Agrawal, M., Blanco, E., Dziurzynski, L., Park, G., Stillwell, D., Kosinski, M., Seligman, M. E., Ungar, L. H. (2016). Predicting individual well-being through the language of social media. Biocomputing 2016: Proceedings of the Pacific Symposium. 516–527.
Sanders, J., Blanco, E. (2016). Automatic Extraction of Implicit Interpretations from Modal Constructions. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1098–1107. Austin, Texas: Association for Computational Linguistics. https://aclweb.org/anthology/D16-1118
Sarabi, Z., Blanco, E. (2016). Understanding Negation in Positive Terms Using Syntactic Dependencies. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1108–1118. Austin, Texas: Association for Computational Linguistics. https://aclweb.org/anthology/D16-1119
Vempala, A., Blanco, E. (2016). Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). 1502–1512. Berlin, Germany: Association for Computational Linguistics.
Blanco, E., Sarabi, Z. (2016). Automatic Generation and Scoring of Positive Interpretations from Negated Statements. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). 1431–1441. San Diego, California: Association for Computational Linguistics. http://www.aclweb.org/anthology/N16-1169
Vempala, A., Blanco, E. (2016). Annotating Temporally-Anchored Spatial Knowledge on Top of OntoNotes Semantic Roles. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC). 3814-3821. Paris, France: European Language Resources Association (ELRA).
Blanco, E., Vempala, A. (2015). Inferring Temporally-Anchored Spatial Knowledge from Semantic Roles. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). 452–461. Denver, Colorado: Association for Computational Linguistics. http://www.aclweb.org/anthology/N15-1048
Blanco, E., Moldovan, D. (2014). Leveraging Verb-Argument Structures to Infer Semantic Relations. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 145–154. Gothenburg, Sweden: Association for Computational Linguistics. http://www.aclweb.org/anthology/E14-1016
Schwartz, H. A., Eichstaedt, J. C., Dziurzynski, L., Kern, M. L., Blanco, E., Kosinski, M., Stillwell, D., Seligman, M. E., Ungar, L. H. (2013). Toward Personality Insights from Language Exploration in Social Media. In Proceedings of the AAAI Spring Symposium Series.
Blanco, E., Moldovan, D. (2013). A Semantically Enhanced Approach to Determine Textual Similarity. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 1235–1245. Seattle, Washington, USA: Association for Computational Linguistics. http://www.aclweb.org/anthology/D13-1123
Schwartz, H. A., Eichstaedt, J., Blanco, E., DziurzyÅ„ski, Lukasz,, Kern, M. L., Ramones, S., Seligman, M., Ungar, L. (2013). Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*SEM). 296–305. Atlanta, Georgia, USA: Association for Computational Linguistics. http://www.aclweb.org/anthology/S13-1042
Blanco, E., Moldovan, D. (2013). A Logic Prover Approach to Predicting Textual Similarity. Proceedings of the 26th Florida Artificial Intelligence Research Society Conference (FLAIRS-26). 255–258. St. Pete Beach, FL, USA:.
Morante, R., Blanco, E. (2012). *SEM 2012 Shared Task: Resolving the Scope and Focus of Negation. Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM 2012). 265–274. Montréal, Canada:.
Blanco, E., Moldovan, D. (2012). Fine-Grained Focus for Pinpointing Positive Implicit Meaning from Negated Statements. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 456–465. Montréal, Canada: Association for Computational Linguistics. http://www.aclweb.org/anthology/N12-1050
Blanco, E., Moldovan, D. (2012). Finding Associations between People. Proceedings of the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25). 196-201. Marco Isand, FL, USA:.
Moldovan, D., Blanco, E., Calzolari, N., Choukri, K., Declerck, T., Dogan, M. U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (2012). Polaris: Lymba’s Semantic Parser. Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC-2012). 66–72. Istanbul, Turkey: European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2012/pdf/176_Paper.pdf
Blanco, E., Moldovan, D. (2011). Semantic Representation of Negation Using Focus Detection. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. 581–589. Portland, Oregon, USA: Association for Computational Linguistics. http://www.aclweb.org/anthology/P11-1059
Blanco, E., Moldovan, D. (2011). Unsupervised Learning of Semantic Relation Composition. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. 1456–1465. Portland, Oregon, USA: Association for Computational Linguistics. http://www.aclweb.org/anthology/P11-1146
Blanco, E., Cankaya, H. C., Moldovan, D. (2011). Commonsense Knowledge Extraction Using Concepts Properties. Proceedings of the 24th Florida Artificial Intelligence Research Society Conference (FLAIRS-24). 222–227. Palm Beach, FL, USA:.
Blanco, E., Moldovan, D. (2011). Some Issues on Detecting Negation from Text. Proceedings of the 24th Florida Artificial Intelligence Research Society Conference (FLAIRS-24). 228–233. Palm Beach, FL, USA:.
Blanco, E., Moldovan, D. (2011). A Model for Composing Semantic Relations. Proceedings of the 9th International Conference on Computational Semantics (IWCS 2011). 45–54. Oxford, UK:.
Blanco, E., Moldovan, D. (2010). Automatic Discovery of Manner Relations and its Applications. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. 315–324. Cambridge, MA: Association for Computational Linguistics. http://www.aclweb.org/anthology/D10-1031
Blanco, E., Cankaya, H. C., Moldovan, D. (2010). Composition of Semantic Relations: Model and Applications. Coling 2010: Posters. 72–80. Beijing, China: Coling 2010 Organizing Committee. http://www.aclweb.org/anthology/C10-2009
Eduardo Blanco, N. C., Moldovan, D., Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard,,, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias, (2008). Causal Relation Extraction. Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08). Marrakech, Morocco: European Language Resources Association (ELRA).
Journal Article
Madala, K., Piparia, S., Blanco, E., Do, H., Bryce, R. (2021). Model Elements Identification using Neural Networks: A Comprehensive Study. Other. 26(1), 32.
Vempala, A., Blanco, E. (2020). Extracting Biographical Spatial Timelines: Corpus and Experiments. Other. 28, 1395-1403.
Tarau, P., Blanco, E. (2020). Interactive Text Graph Mining with a Prolog-Based Dialog Engine. Theory and Practice of Logic Programming. 1–20. Cambridge University Press.
Madala, K., Piparia, S., Blanco, E., Do, H., Bryce, R. C. (2020). Model elements identification using neural networks: a comprehensive study. Other. 1--30. Springer.
Morante, R., Blanco, E. (2020). Recent advances in processing negation. Other. 1–10. Cambridge University Press.
Vempala, A., Blanco, E. (2020). Temporally anchored spatial knowledge: Corpora and experiments. Other. 1–25. Cambridge University Press.
Blanco, E., Moldovan, D. (2015). A Semantic Logic-Based Approach to Determine Textual Similarity. 23(4), 683-693. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
Blanco, E., Moldovan, D. (2014). Retrieving implicit positive meaning from negated statements. Journal of Natural Language Engineering. 20(04), 501–535. http://journals.cambridge.org/article_S1351324913000041
Blanco, E., Moldovan, D. (2013). Composition of Semantic Relations: Theoretical Framework and Case Study. 10(4), 17:1–17:36. New York, NY, USA: ACM Transactions on Speech and Language Processing. http://doi.acm.org/10.1145/2513146
Hakki C. Cankaya, Eduardo Blanco,, Blanco, E., Moldovan, D. (2012). Semantic composition of AT-LOCATION relation with other relations. Journal of Natural Language Engineering. 18(03), 343–374. http://journals.cambridge.org/article_S1351324911000222

Awarded Grants

Contracts, Grants and Sponsored Research

Contract
Blanco, E. (Principal), "Short Text Classification in the Financial Domain," Sponsored by Harvest Exchange Corp., Private, $41429 Funded. (August 2018May 2019).
Grant - Research
Blanco, E. (Principal), "CAREER: Understanding Negation in Positive Terms," Sponsored by National Science Foundation, Federal, $507950 Funded. (February 2019February 2024).
Blanco, E. (Principal), "Mining Spatiotemporal Knowledge from Language and Images," Sponsored by National Geospatial-Intelligence Agency, Federal, $388214 Funded. (April 2020March 2022).
Roberts, K. (Principal), Hamilton, J. (Co-Principal), Bernstam, E. (Co-Principal), Blanco, E. (Co-Principal), "NLP for Medication Adherence: Complex Semantics and Negation," Sponsored by Patient-Centered Outcomes Research Institute, Federal, $976548 Funded. (March 1, 2019February 28, 2022).
Takabi, H. (Principal), Blanco, E. (Co-Principal), "Building Cybersecurity Analytics Capacity in Big Data Era: Developing Hands-on Labs for Integrating Data Science into Cybersecurity Curriculum," Sponsored by National Science Foundation, Federal, $499581 Funded. (July 15, 2018June 30, 2021).
Blanco, E. (Principal), "EAGER: Towards Inter-Sentential Models for Detecting Focus of Negation," Sponsored by National Science Foundation, Federal, $68000 Funded. (April 1, 2017March 31, 2019).
Blanco, E. (Principal), "Extra-Propositional Aspects of Meaning in Computational Linguistics Workshop," Sponsored by National Sicence Foundation, Federal, $6000 Funded. (April 2015September 2018).
Sponsored Research
Blanco, E. (Principal), "Information Extraction for the Oil and Gas Domain (unrestricted gift, ctd.)," Sponsored by Lease Analytics, LLC, Private, $50000 Funded. (December 2019).
Blanco, E. (Principal), "Amazon Web Services (AWS) Cloud Credits for Research," Sponsored by Amazon, Private, $8000 Funded. (September 2019).
Blanco, E. (Principal), "Google Cloud Platform Education Grant," Sponsored by Google, Private, $2700 Funded. (September 2019).
Blanco, E. (Principal), "Bloomberg Data Science Research Grant (unrestricted gift)," Sponsored by Bloomberg L.P., Private, $62000 Funded. (July 2019).
Blanco, E. (Principal), "Extracting Spatial Timelines from Social Media (unrestricted gift, ctd.)," Sponsored by Snap Inc., Private, $8000 Funded. (March 2019).
Blanco, E. (Principal), "Extracting Spatial Timelines from Social Media (unrestricted gift)," Sponsored by Snap Inc., Private, $8000 Funded. (July 2018).
Blanco, E. (Principal), "Google Cloud Platform Education Grant," Sponsored by Google, Private, $4150 Funded. (June 2018).
Blanco, E. (Principal), "Google Cloud Platform Research Credits," Sponsored by Google, Private, $5000 Funded. (June 2018).
Blanco, E. (Principal), "NVIDIA GPU Grant (Titan Xp GPU donation)," Sponsored by NVIDIA, Private, $1200 Funded. (June 2018).
Blanco, E. (Principal), "Information Extraction for the Oil and Gas Domain (unrestricted gift)," Sponsored by Lease Analytics, LLC, Private, $50000 Funded. (September 2017).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
CLOSE