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Ehsaneddin Asgari
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2020 – today
- 2023
- [i11]Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary, Maximilian Heinrich, Nicolas Handke, Xiaoni Cai, Barriere Valentin, Doratossadat Dastgheib, Omid Ghahroodi, Mohammad Ali Sadraei, Ehsaneddin Asgari, Lea Kawaletz, Henning Wachsmuth, Benno Stein:
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments. CoRR abs/2301.13771 (2023) - 2022
- [j6]Esmaeil Nourani
, Ehsaneddin Asgari, Alice C. McHardy, Mohammad R. K. Mofrad
:
TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3744-3753 (2022) - [c11]Sayed Hesam Alavian, Ali Satvaty, Sadra Sabouri, Ehsaneddin Asgari, Hossein Sameti:
Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval. DialDoc@ACL 2022: 142-147 - [c10]Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schütze, Ehsaneddin Asgari:
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging. AACL/IJCNLP (1) 2022: 1013-1024 - [i10]MohammadReza Besharati, Mohammad Izadi, Ehsaneddin Asgari:
Stateless and Rule-Based Verification For Compliance Checking Applications. CoRR abs/2204.07430 (2022) - [i9]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
XPASC: Measuring Generalization in Weak Supervision. CoRR abs/2206.01444 (2022) - 2021
- [j5]Akash Bahai
, Ehsaneddin Asgari
, Mohammad R. K. Mofrad, Andreas Kloetgen, Alice C. McHardy:
EpitopeVec: linear epitope prediction using deep protein sequence embeddings. Bioinform. 37(23): 4517-4525 (2021) - [c9]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. EMNLP (1) 2021: 9549-9557 - [i8]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. CoRR abs/2109.07994 (2021) - 2020
- [c8]Mohammed Aldawsari, Ehsaneddin Asgari, Mark A. Finlayson:
Story Fragment Stitching: The Case of the Story of Moses. AI4Narratives@IJCAI 2020: 47-54 - [c7]Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth, Christoph Ringlstetter, Mohammad R. K. Mofrad:
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. LREC 2020: 4113-4120 - [c6]Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes. SemEval@COLING 2020: 201-207 - [i7]Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
Unsupervised Embedding-based Detection of Lexical Semantic Changes. CoRR abs/2005.07979 (2020) - [i6]Ehsaneddin Asgari, Masoud Jalili Sabet, Philipp Dufter, Christoph Ringlstetter, Hinrich Schütze:
Subword Sampling for Low Resource Word Alignment. CoRR abs/2012.11657 (2020)
2010 – 2019
- 2019
- [b1]Ehsaneddin Asgari:
Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages. University of California, Berkeley, USA, 2019 - [j4]Ehsaneddin Asgari, Kiavash Garakani, Alice C. McHardy, Mohammad R. K. Mofrad:
MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples. Bioinform. 35(6): 1082 (2019) - [j3]Ehsaneddin Asgari, Philipp C. Münch, Till R. Lesker, Alice C. McHardy, Mohammad R. K. Mofrad:
DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection. Bioinform. 35(14): 2498-2500 (2019) - [i5]Ehsaneddin Asgari, Fabienne Braune, Christoph Ringlstetter, Mohammad R. K. Mofrad:
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. CoRR abs/1904.09678 (2019) - 2018
- [j2]Ehsaneddin Asgari, Kiavash Garakani
, Alice C. McHardy, Mohammad R. K. Mofrad:
MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples. Bioinform. 34(13): i32-i42 (2018) - 2017
- [c5]Heike Adel, Ehsaneddin Asgari, Hinrich Schütze:
Overview of Character-Based Models for Natural Language Processing. CICLing (1) 2017: 3-16 - [c4]Ehsaneddin Asgari, Hinrich Schütze:
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages. EMNLP 2017: 113-124 - [i4]Ehsaneddin Asgari, Hinrich Schütze:
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages. CoRR abs/1704.08914 (2017) - 2016
- [c3]Ehsaneddin Asgari, Soroush Nasiriany, Mohammad R. K. Mofrad:
Text Analysis and Automatic Triage of Posts in a Mental Health Forum. CLPsych@HLT-NAACL 2016: 153-157 - [i3]Ehsaneddin Asgari, Mohammad R. K. Mofrad:
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance. CoRR abs/1604.08561 (2016) - 2015
- [i2]Ehsaneddin Asgari, Mohammad R. K. Mofrad:
ProtVec: A Continuous Distributed Representation of Biological Sequences. CoRR abs/1503.05140 (2015) - [i1]Ehsaneddin Asgari, Kiavash Garakani, Mohammad R. K. Mofrad:
A New Approach for Scalable Analysis of Microbial Communities. CoRR abs/1512.00397 (2015) - 2014
- [j1]Mahmood Neshati, Djoerd Hiemstra
, Ehsaneddin Asgari, Hamid Beigy
:
Integration of scientific and social networks. World Wide Web 17(5): 1051-1079 (2014) - 2013
- [c2]Ehsaneddin Asgari, Jean-Cédric Chappelier:
Linguistic Resources and Topic Models for the Analysis of Persian Poems. CLfL@NAACL-HLT 2013: 23-31 - [c1]Mahmood Neshati, Ehsaneddin Asgari, Djoerd Hiemstra
, Hamid Beigy
:
A Joint Classification Method to Integrate Scientific and Social Networks. ECIR 2013: 122-133
Coauthor Index

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last updated on 2023-02-04 02:14 CET by the dblp team
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