| Toward a Paradigm Shift in Collection of Learner Corpora. | 0 | 0.34 | 2020 |
| Neural Disambiguation of Lemma and Part of Speech in Morphologically Rich Languages. | 0 | 0.34 | 2020 |
| Modeling language learning using specialized Elo rating. | 0 | 0.34 | 2019 |
| Projecting named entity recognizers without annotated or parallel corpora. | 0 | 0.34 | 2019 |
| Tools for supporting language learning for Sakha. | 0 | 0.34 | 2019 |
| Benchmarks and models for entity-oriented polarity detection. | 0 | 0.34 | 2018 |
| Digital Cultural Heritage and Revitalization of Endangered Finno-Ugric Languages. | 0 | 0.34 | 2018 |
| Revita: a Language-learning Platform at the Intersection of ITS and CALL. | 0 | 0.34 | 2018 |
| Comparison of Representations of Named Entities for Document Classification. | 0 | 0.34 | 2018 |
| The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages. | 0 | 0.34 | 2017 |
| Grouping business news stories based on salience of named entities. | 0 | 0.34 | 2017 |
| HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks. | 0 | 0.34 | 2017 |
| Learning Morphology of Natural Language as a Finite-State Grammar. | 0 | 0.34 | 2017 |
| Modeling language evolution with codes that utilize context and phonetic features. | 0 | 0.34 | 2016 |
| A Novel Evaluation Method for Morphological Segmentation. | 0 | 0.34 | 2016 |
| Tracking Interactions Across Business News, Social Media, and Stock Fluctuations. | 0 | 0.34 | 2016 |
| Improving Supervised Classification Using Information Extraction | 1 | 0.41 | 2015 |
| Online Extraction of Russian Multiword Expressions. | 0 | 0.34 | 2015 |
| Supervised Classification Using Balanced Training. | 2 | 0.36 | 2014 |
| Adapting the PULS event extraction framework to analyze Russian text | 2 | 0.47 | 2013 |
| MDL-based models for transliteration generation | 2 | 0.41 | 2013 |
| Event representation across genre | 7 | 0.58 | 2013 |
| Automatic Detection of Stable Grammatical Features in N-Grams | 0 | 0.34 | 2013 |
| Automatic Detection of Stable Grammatical Features in N-Grams. | 0 | 0.34 | 2013 |
| Combined analysis of news and Twitter messages | 2 | 0.42 | 2013 |
| MDL-based Models for Alignment of Etymological Data. | 4 | 0.51 | 2011 |
| Building support tools for Russian-language information extraction | 5 | 0.49 | 2011 |
| Relevance Prediction in Information Extraction using Discourse and Lexical Features. | 4 | 0.43 | 2011 |
| Probabilistic Models for Alignment of Etymological Data | 1 | 0.55 | 2011 |
| News mining for border security Intelligence | 2 | 0.47 | 2010 |
| Utility Evaluation of Tools for Collaborative Development and Maintenance of Ontologies | 2 | 0.39 | 2010 |
| Assessment of utility in web mining for the domain of public health | 6 | 0.63 | 2010 |
| Automated Event Extraction in the Domain of Border Security | 2 | 0.42 | 2009 |
| Text Mining from the Web for Medical Intelligence | 21 | 1.24 | 2007 |
| Redundancy-based correction of automatically extracted facts | 13 | 1.63 | 2005 |
| Use of deep syntax parsing in cross-language information extraction | 0 | 0.34 | 2005 |
| Redundancy-based Correction of Automatically Extracted Facts | 0 | 0.34 | 2005 |
| Mining the semantics of text via counter-training | 0 | 0.34 | 2005 |
| Extracting Information about Outbreaks of Infectious Epidemics | 0 | 0.34 | 2005 |
| Extracting information about outbreaks of infectious epidemics | 9 | 1.27 | 2005 |
| Counter-training in discovery of semantic patterns | 49 | 4.39 | 2003 |
| Unsupervised learning of generalized names | 50 | 3.62 | 2002 |
| Information extraction for enhanced access to disease outbreak reports. | 45 | 4.34 | 2002 |
| Diversity of Scenarios in Information Extraction | 14 | 1.43 | 2002 |
| Complexity of event structure in IE scenarios | 14 | 1.33 | 2002 |
| Acquisition of Domain Knowledge | 3 | 0.71 | 2002 |
| Unsupervised discovery of scenario-level patterns for Information Extraction | 42 | 11.61 | 2000 |
| Automatic acquisition of domain knowledge for Information Extraction | 68 | 9.46 | 2000 |
| Deriving transfer rules from dominance-preserving alignments | 14 | 1.70 | 1998 |
| NYU: Description of the Proteus/PET System as Used for MUC-7 ST | 0 | 0.34 | 1998 |
