| Programmatic Database Language Generation for Big Data Applications. | 0 | 0.34 | 2021 |
| Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition. | 0 | 0.34 | 2020 |
| Tackling Complex Queries To Relational Databases | 0 | 0.34 | 2019 |
| A Natural Language Interface Supporting Complex Logic Questions for Relational Databases. | 1 | 0.36 | 2019 |
| A Large Resource of Patterns for Verbal Paraphrases. | 0 | 0.34 | 2018 |
| QUEST: A Natural Language Interface to Relational Databases. | 0 | 0.34 | 2018 |
| Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment. | 0 | 0.34 | 2016 |
| A Multi-Layer System for Semantic Textual Similarity. | 0 | 0.34 | 2016 |
| Multi-layer and Co-learning Systems for Semantic Textual Similarity, Semantic Relatedness and Recognizing Textual Entailment. | 0 | 0.34 | 2016 |
| Analysis of the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity. | 1 | 0.35 | 2016 |
| FBK-HLT: A New Framework for Semantic Textual Similarity | 2 | 0.40 | 2015 |
| FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter | 0 | 0.34 | 2015 |
| A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks | 1 | 0.36 | 2015 |
| Paraphrase Identification and Semantic Similarity in Twitter with Simple Features | 3 | 0.38 | 2015 |
| Learning the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity. | 0 | 0.34 | 2015 |
| SemEval 2015, Task 7: Diachronic Text Evaluation | 7 | 0.56 | 2015 |
| Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity. | 0 | 0.34 | 2015 |
| Corpus Patterns for Semantic Processing | 0 | 0.34 | 2015 |
| SemEval-2015 Task 15: A CPA dictionary-entry-building task | 1 | 0.40 | 2015 |
| FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering | 3 | 0.47 | 2015 |
| Fast and Accurate Misspelling Correction in Large Corpora. | 0 | 0.34 | 2014 |
| FBK-TR: SVM for Semantic Relatedness and Corpus Patterns for RTE | 1 | 0.50 | 2014 |
| Mapping CPA Patterns onto OntoNotes Senses. | 2 | 0.40 | 2014 |
| Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses. | 9 | 0.56 | 2014 |
| FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity | 1 | 0.48 | 2014 |
| T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing. | 1 | 0.40 | 2014 |
| Learning Corpus Patterns Using Finite State Automata | 1 | 0.36 | 2013 |
| Determining is-a relationships for Textual Entailment. | 0 | 0.34 | 2013 |
| Behind the Times: Detecting Epoch Changes using Large Corpora. | 10 | 0.91 | 2013 |
| Regular Patterns - Probably Approximately Correct Language Model. | 0 | 0.34 | 2013 |
| Methods of estimating the number of clusters for person cross document coreference task | 0 | 0.34 | 2012 |
| Person Number Estimation In Large Corpora | 0 | 0.34 | 2012 |
| Buildind a Resource of Patterns Using Semantic Types. | 0 | 0.34 | 2012 |
| Dynamic parameters for cross document coreferece | 0 | 0.34 | 2010 |
| Person cross document coreference with name perplexity estimates | 5 | 0.44 | 2009 |
| Alleviating the Problem of Wrong Coreferences in Web Person Search | 2 | 0.38 | 2009 |
| Language independent first and last name identification in person names | 0 | 0.34 | 2008 |
| Inferring Coreferences Among Person Names in a Large Corpus of News Collections | 3 | 0.41 | 2007 |
| IRST-BP: preposition disambiguation based on chain clarifying relationships contexts | 2 | 0.40 | 2007 |
| IRST-BP: web people search using name entities | 11 | 0.69 | 2007 |
| An Iterative Model for Discovering Person Coreferences Using Name Frequency Estimates | 0 | 0.34 | 2007 |
| Ontology Population from Textual Mentions: Task Definition and Benchmark | 11 | 1.43 | 2006 |
| From Mentions to Ontology: A Pilot Sudy | 0 | 0.34 | 2006 |
