Most cited papers from Lymba (United States)
What are the most cited papers from Lymba (United States)?
The most cited paper from Lymba (United States) is "*SEM 2012 Shared Task: Resolving the Scope and Focus of Negation" (Roser Morante, Eduardo Blanco, 2012), with 124 citations. Next come "Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty" (77) and "Experiments with reasoning for temporal relations between events" (52).
Showing 23 of 23 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | *SEM 2012 Shared Task: Resolving the Scope and Focus of Negation Roser Morante, Eduardo Blanco | 7 Jun 2012 | 124 |
| 2 | Avoid being the Turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty Mark van Rijmenam, Tatiana Erekhinskaya, Jochen Schweitzer et al. · Long Range Planning | 14 Jun 2018 | 77 |
| 3 | Experiments with reasoning for temporal relations between events Marta Tatu, Munirathnam Srikanth | 2008 | 52 |
| 4 | Polaris: Lymba’s Semantic Parser DAN I. MOLDOVAN, Eduardo Blanco | May 2012 | 17 |
| 5 | Semi-Automatic Domain Ontology Creation from Text Resources Mithun Balakrishna, DAN I. MOLDOVAN, Marta Tatu et al. | May 2010 | 15 |
| 6 | Automatic Extraction of Actionable Knowledge Marta Tatu, Mithun Balakrishna, Steven D. Werner et al. | Feb 2016 | 13 |
| 7 | A Semantic Scattering model for the automatic interpretation of English genitives Adriana Badulescu, DAN I. MOLDOVAN · Natural Language Engineering | 29 Aug 2008 | 11 |
| 8 | A Semantic Logic-Based Approach to Determine Textual Similarity Eduardo Blanco, DAN I. MOLDOVAN · IEEE/ACM Transactions on Audio Speech and Language Processing | 2 Mar 2015 | 9 |
| 9 | Knowledge Extraction for Literature Review Tatiana Erekhinskaya, Mithun Balakrishna, Marta Tatu et al. | 10 Jun 2016 | 8 |
| 10 | K-Extractor: Automatic Knowledge Extraction for Hybrid Question Answering Mithun Balakrishna, Steven D. Werner, Marta Tatu et al. | Feb 2016 | 6 |
| 11 | Leveraging Verb-Argument Structures to Infer Semantic Relations Eduardo Blanco, DAN I. MOLDOVAN | 2014 | 6 |
| 12 | A Semantically Enhanced Approach to Determine Textual Similarity Eduardo Blanco, DAN I. MOLDOVAN | 2013 | 6 |
| 13 | Fine-Grained Focus for Pinpointing Positive Implicit Meaning from Negated Statements Eduardo Blanco, DAN I. MOLDOVAN | 3 Jun 2012 | 5 |
| 14 | Towards Understanding Creative Language in Tweets Linrui Zhang, Yisheng Zhou, Yang Yu et al. · Journal of Software Engineering and Applications | 2019 | 4 |
| 15 | Semantic question answering on big data Marta Tatu, Steven D. Werner, Mithun Balakrishna et al. | 2 Jun 2016 | 4 |
| 16 | A Logic Prover Approach to Predicting Textual Similarity Eduardo Blanco, DAN I. MOLDOVAN | 11 Mar 2015 | 4 |
| 17 | Ten ways of leveraging ontologies for natural language processing and its enterprise applications Tatiana Erekhinskaya, Д. С. Стребков, Sujal Patel et al. | 26 May 2020 | 3 |
| 18 | Leveraging Ontologies for Natural Language Processing in Enterprise Applications Tatiana Erekhinskaya, Matthew Morris, Д. С. Стребков et al. · Lecture notes in computer science | 2020 | 1 |
| 19 | Personalized Medical Reading Recommendation: Deep Semantic Approach Tatiana Erekhinskaya, Mithun Balakrishna, Marta Tatu et al. · Lecture notes in computer science | 2016 | 1 |
| 20 | A Tool for Extracting Conversational Implicatures Marta Tatu, DAN I. MOLDOVAN | May 2012 | 1 |
| 21 | Inducing Ontologies from Folksonomies using Natural Language Understanding Marta Tatu, Dan Moldovan | May 2010 | 0 |
| 22 | Finding Associations between People Eduardo Blanco, DAN I. MOLDOVAN | 6 Mar 2015 | 0 |
| 23 | Minimal training based semantic categorization in a voice activated question answering (VAQA) system Mithun Balakrishna, Marta Tatu, DAN I. MOLDOVAN | 22 Sep 2008 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.