Fernando Pereira
Fernando Pereira is VP and Engineering Fellow at Google, where he leads research and development in natural language understanding and machine learning. His previous positions include chair of the Computer and Information Science department of the University of Pennsylvania, head of the Machine Learning and Information Retrieval department at AT&T Labs, and research and management positions at SRI International. He received a Ph.D. in Artificial Intelligence from the University of Edinburgh in 1982, and has over 120 research publications on computational linguistics, machine learning, bioinformatics, speech recognition, and logic programming, as well as several patents. He was elected AAAI Fellow in 1991 for contributions to computational linguistics and logic programming, ACM Fellow in 2010 for contributions to machine learning models of natural language and biological sequences, and ACL Fellow for contributions to sequence modeling, finite-state methods, and dependency and deductive parsing. He was president of the Association for Computational Linguistics in 1993.
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Conversational Music Retrieval with Synthetic Data
Megan Eileen Leszczynski
Ravi Ganti
Shu Zhang
Arun Tejasvi Chaganty
Second Workshop on Interactive Learning for Natural Language Processing at NeurIPS 2022
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
Daphne Luong
Proceedings of the First International Workshop on Spatial Language Understanding, Association for Computational Linguistics, New Orleans, Louisiana, USA (2018), pp. 46-52
Collective Entity Resolution with Multi-Focal Attention
Soumen Chakrabarti
Michael Ringaard
ACL (2016)
Plato: A Selective Context Model for Entity Resolution
Michael Ringgaard
Transactions of the Association for Computational Linguistics, 3 (2015), pp. 503-515
Yedalog: Exploring Knowledge at Scale
Brian Chin
Vuk Ercegovac
Peter Hawkins
Mark S. Miller
Franz Och
Chris Olston
1st Summit on Advances in Programming Languages (SNAPL 2015), Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, pp. 63-78
Large Scale Distributed Acoustic Modeling With Back-off N-grams
Peng Xu
Thomas Richardson
IEEE Transactions on Audio, Speech and Language Processing, 21 (2013), pp. 1158-1169
Distributed Acoustic Modeling with Back-off N-grams
Peng Xu
Thomas Richardson
Proceedings of ICASSP 2012, IEEE, pp. 4129-4132
