Sriram Venkatapathy


2020

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Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
Ansel MacLaughlin | Jwala Dhamala | Anoop Kumar | Sriram Venkatapathy | Ragav Venkatesan | Rahul Gupta
Proceedings of the First Workshop on Insights from Negative Results in NLP

Neural Architecture Search (NAS) methods, which automatically learn entire neural model or individual neural cell architectures, have recently achieved competitive or state-of-the-art (SOTA) performance on variety of natural language processing and computer vision tasks, including language modeling, natural language inference, and image classification. In this work, we explore the applicability of a SOTA NAS algorithm, Efficient Neural Architecture Search (ENAS) (Pham et al., 2018) to two sentence pair tasks, paraphrase detection and semantic textual similarity. We use ENAS to perform a micro-level search and learn a task-optimized RNN cell architecture as a drop-in replacement for an LSTM. We explore the effectiveness of ENAS through experiments on three datasets (MRPC, SICK, STS-B), with two different models (ESIM, BiLSTM-Max), and two sets of embeddings (Glove, BERT). In contrast to prior work applying ENAS to NLP tasks, our results are mixed – we find that ENAS architectures sometimes, but not always, outperform LSTMs and perform similarly to random architecture search.

2015

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Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation
Marc Dymetman | Sriram Venkatapathy | Chunyang Xiao
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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Fast Domain Adaptation of SMT models without in-Domain Parallel Data
Prashant Mathur | Sriram Venkatapathy | Nicola Cancedda
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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Confidence-driven Rewriting for Improved Translation
Shachar Mirkin | Sriram Venkatapathy | Marc Dymetman
Proceedings of Machine Translation Summit XIV: Posters

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SORT: An Interactive Source-Rewriting Tool for Improved Translation
Shachar Mirkin | Sriram Venkatapathy | Marc Dymetman | Ioan Calapodescu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations

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Investigations in Exact Inference for Hierarchical Translation
Wilker Aziz | Marc Dymetman | Sriram Venkatapathy
Proceedings of the Eighth Workshop on Statistical Machine Translation

2012

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Prediction of Learning Curves in Machine Translation
Prasanth Kolachina | Nicola Cancedda | Marc Dymetman | Sriram Venkatapathy
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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An SMT-driven Authoring Tool
Sriram Venkatapathy | Shachar Mirkin
Proceedings of COLING 2012: Demonstration Papers

2010

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Phrase Based Decoding using a Discriminative Model
Prasanth Kolachina | Sriram Venkatapathy | Srinivas Bangalore | Sudheer Kolachina | Avinesh PVS
Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation

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A Discriminative Approach for Dependency Based Statistical Machine Translation
Sriram Venkatapathy | Rajeev Sangal | Aravind Joshi | Karthik Gali
Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation

2009

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Sentence Realisation from Bag of Words with Dependency Constraints
Karthik Gali | Sriram Venkatapathy
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium

2007

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Discriminative word alignment by learning the alignment structure and syntactic divergence between a language pair
Sriram Venkatapathy | Aravind Joshi
Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation

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Three models for discriminative machine translation using Global Lexical Selection and Sentence Reconstruction
Sriram Venkatapathy | Srinivas Bangalore
Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation

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Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
Diana McCarthy | Sriram Venkatapathy | Aravind Joshi
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

2006

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Using Information about Multi-word Expressions for the Word-Alignment Task
Sriram Venkatapathy | Aravind K. Joshi
Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties

2005

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Relative Compositionality of Multi-word Expressions: A Study of Verb-Noun (V-N) Collocations
Sriram Venkatapathy | Aravind K. Joshi
Second International Joint Conference on Natural Language Processing: Full Papers

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Inferring Semantic Roles Using Sub-Categorization Frames and Maximum Entropy Model
Akshar Bharati | Sriram Venkatapathy | Prashanth Reddy
Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)

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Measuring the Relative Compositionality of Verb-Noun (V-N) Collocations by Integrating Features
Sriram Venkatapathy | Aravind Joshi
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing