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Semantic ScholarAndrew Yates
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2010 – today
- 2019
[j7]Sean MacAvaney
, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. Journal 22(3-4): 395-418 (2019)- [c40]Siddhant Arora, Andrew Yates:
Investigating Retrieval Method Selection with Axiomatic Features. AMIR@ECIR 2019: 18-31 - [c39]Andrew Yates, Michael Unterkalmsteiner:
Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain. ECIR (1) 2019: 429-442 - [c38]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) 2019: 247-258 - [c37]Michael Unterkalmsteiner, Andrew Yates:
Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation. REFSQ Workshops 2019 - [c36]Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder:
Content-Based Weak Supervision for Ad-Hoc Re-Ranking. SIGIR 2019: 993-996 - [c35]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. SIGIR 2019: 1101-1104 - [c34]Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum:
Listening between the Lines: Learning Personal Attributes from Conversations. WWW 2019: 1818-1828 - [i17]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR abs/1904.01451 (2019) - [i16]Siddhant Arora, Andrew Yates:
Investigating Retrieval Method Selection with Axiomatic Features. CoRR abs/1904.05737 (2019) - [i15]Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. CoRR abs/1904.07094 (2019) - [i14]Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum:
Listening between the Lines: Learning Personal Attributes from Conversations. CoRR abs/1904.10887 (2019) - [i13]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
STANCY: Stance Classification Based on Consistency Cues. CoRR abs/1910.06048 (2019) - 2018
- [c33]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CLPsych@NAACL-HTL 2018: 168-173 - [c32]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. COLING 2018: 1485-1497 - [c31]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. EMNLP 2018: 22-32 - [c30]Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu:
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018: 4482-4491 - [c29]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR 2018: 46-47 - [c28]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. SIGIR 2018: 1205-1208 - [c27]Sean MacAvaney, Nazli Goharian, Ophir Frieder, Andrew Yates:
PACRR Gated Expansion for TREC CAR 2018. TREC 2018 - [c26]Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. WSDM 2018: 279-287 - [i12]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. CoRR abs/1805.00791 (2018) - [i11]Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. CoRR abs/1806.05258 (2018) - [i10]Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. CoRR abs/1806.07916 (2018) - [i9]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. CoRR abs/1809.06416 (2018) - [i8]Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu:
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR abs/1810.12936 (2018) - [i7]Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Overcoming low-utility facets for complex answer retrieval. CoRR abs/1811.08772 (2018) - 2017
- [j6]Luca Soldaini, Andrew Yates, Nazli Goharian:
Learning to reformulate long queries for clinical decision support. JASIST 68(11): 2602-2619 (2017) - [j5]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging content severity in online mental health forums. JASIST 68(11): 2675-2689 (2017) - [c25]Luca Soldaini, Andrew Yates, Nazli Goharian:
Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model. CIKM 2017: 2307-2310 - [c24]Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
PACRR: A Position-Aware Neural IR Model for Relevance Matching. EMNLP 2017: 1049-1058 - [c23]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. EMNLP 2017: 2968-2978 - [c22]Sean MacAvaney, Andrew Yates, Kai Hui:
Contextualized PACRR for Complex Answer Retrieval. TREC 2017 - [c21]Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
Position-Aware Representations for Relevance Matching in Neural Information Retrieval. WWW (Companion Volume) 2017: 799-800 - [i6]Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian:
Triaging Content Severity in Online Mental Health Forums. CoRR abs/1702.06875 (2017) - [i5]Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
A Position-Aware Deep Model for Relevance Matching in Information Retrieval. CoRR abs/1704.03940 (2017) - [i4]Andrew Yates, Kai Hui:
DE-PACRR: Exploring Layers Inside the PACRR Model. CoRR abs/1706.08746 (2017) - [i3]Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model. CoRR abs/1706.10192 (2017) - [i2]Sean MacAvaney, Kai Hui, Andrew Yates:
An Approach for Weakly-Supervised Deep Information Retrieval. CoRR abs/1707.00189 (2017) - [i1]Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. CoRR abs/1709.01848 (2017) - 2016
- [j4]Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, Nazli Goharian:
Enhancing web search in the medical domain via query clarification. Inf. Retr. Journal 19(1-2): 149-173 (2016) - [c20]Andrew Yates, Jonah Joselow, Nazli Goharian:
The News Cycle's Influence on Social Media Activity. ICWSM 2016: 735-738 - [c19]Andrew Yates, Nazli Goharian, Ophir Frieder:
Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media. ICWSM 2016: 739-742 - [c18]Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder:
Effects of Sampling on Twitter Trend Detection. LREC 2016 - 2015
- [j3]Jon Parker, Andrew Yates, Nazli Goharian, Ophir Frieder:
Health-related hypothesis generation using social media data. Social Netw. Analys. Mining 5(1): 7:1-7:15 (2015) - [c17]Andrew Yates, Nazli Goharian, Ophir Frieder:
Extracting Adverse Drug Reactions from Social Media. AAAI 2015: 2460-2467 - [c16]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Retrieving Medical Literature for Clinical Decision Support. ECIR 2015: 538-549 - 2014
- [c15]Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder:
On clinical decision support. BCB 2014: 651-652 - [c14]Andrew Yates, Nazli Goharian, Ophir Frieder:
Relevance-Ranked Domain-Specific Synonym Discovery. ECIR 2014: 124-135 - [c13]Michael Wang, Andrew Yates, Igor L. Markov:
SuperPUF: integrating heterogeneous physically unclonable functions. ICCAD 2014: 454-461 - [c12]Andrew Yates, Jon Parker, Nazli Goharian, Ophir Frieder:
A Framework for Public Health Surveillance. LREC 2014: 475-482 - [c11]Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder:
Query Reformulation for Clinical Decision Support Search. TREC 2014 - 2013
- [c10]Jordan Wilberding, Andrew Yates, Micah Sherr, Wenchao Zhou:
Validating web content with senser. ACSAC 2013: 339-348 - [c9]Andrew Yates, Nazli Goharian, Wai Gen Yee:
Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment. ASIST 2013: 1-10 - [c8]Jon Parker, Yifang Wei, Andrew Yates, Ophir Frieder, Nazli Goharian:
A framework for detecting public health trends with Twitter. ASONAM 2013: 556-563 - [c7]Andrew Yates, Nazli Goharian:
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites. ECIR 2013: 816-819 - [c6]Eric William Burger, Howard J. Federoff, Massimo S. Fiandaca, Ophir Frieder, Nazli Goharian, Andrew Yates:
Social media communications networks and pharmacovigilance: SequelAE-2.0. Healthcom 2013: 1-3 - [c5]Andrew Yates, Nazli Goharian, Ophir Frieder:
Graded relevance ranking for synonym discovery. WWW (Companion Volume) 2013: 139-140 - 2012
- [c4]Jon Parker, Andrew Yates, Nazli Goharian, Wai Gen Yee:
Efficient estimation of aspect weights. SIGIR 2012: 1057-1058 - [c3]Andrew Yates, Dave DeBoer, Hui Yang, Nazli Goharian, Steve Kunath, Ophir Frieder:
(Not Too) Personalized Learning to Rank for Contextual Suggestion. TREC 2012 - 2010
- [c2]Wai Gen Yee, Andrew Yates, Ophir Frieder, Armin Moehrle:
eduKEN: a tool for fine-grained video comment collection and analysis. WWW 2010: 1325-1328
2000 – 2009
- 2009
- [c1]Wai Gen Yee, Andrew Yates, Shizhu Liu, Ophir Frieder:
Are Web User Comments Useful for Search? LSDS-IR@SIGIR 2009 - 2007
- [j2]Andrew Yates, Cliburn Chan, Jessica Strid, Simon Moon, Robin Callard, Andrew J. T. George, Jaroslav Stark:
Reconstruction of cell population dynamics using CFSE. BMC Bioinformatics 8 (2007) - 2001
- [j1]Andrew Yates, C. C. W. Chan, R. E. Callard, Andrew J. T. George, Jaroslav Stark:
An Approach to Modelling in Immunology. Briefings in Bioinformatics 2(3): 245-257 (2001)
Coauthor Index
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last updated on 2019-11-29 20:53 CET by the dblp team
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