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2020 – today
- 2023
[j9]Andreas Madsen
, Siva Reddy, Sarath Chandar:
Post-hoc Interpretability for Neural NLP: A Survey. ACM Comput. Surv. 55(8): 155:1-155:42 (2023)- [c44]Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy:
Combining Parameter-efficient Modules for Task-level Generalisation. EACL 2023: 687-702 - [c43]Xing Han Lu, Siva Reddy, Harm de Vries:
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. EACL 2023: 2791-2821 - [e2]Yun-Nung Vivian Chen, Margot Mieskes, Siva Reddy:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-67-8 [contents] - [i47]Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür:
Using In-Context Learning to Improve Dialogue Safety. CoRR abs/2302.00871 (2023) - [i46]Xing Han Lu, Siva Reddy, Harm de Vries:
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents. CoRR abs/2304.01412 (2023) - [i45]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i44]Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy:
Are Diffusion Models Vision-And-Language Reasoners? CoRR abs/2305.16397 (2023) - [i43]Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy:
The Impact of Positional Encoding on Length Generalization in Transformers. CoRR abs/2305.19466 (2023) - [i42]Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, Nicholas Meade, Siva Reddy:
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering. CoRR abs/2307.16877 (2023) - 2022
- [j8]Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy:
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching. Trans. Assoc. Comput. Linguistics 10: 468-483 (2022) - [j7]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics 10: 1473-1490 (2022) - [j6]Nicolas Gontier, Siva Reddy, Christopher Pal:
Does Entity Abstraction Help Generative Transformers Reason? Trans. Mach. Learn. Res. 2022 (2022) - [c42]Nathan Schucher, Siva Reddy, Harm de Vries:
The Power of Prompt Tuning for Low-Resource Semantic Parsing. ACL (2) 2022: 148-156 - [c41]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. ACL (Findings) 2022: 926-937 - [c40]Nicholas Meade, Elinor Poole-Dayan, Siva Reddy:
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models. ACL (1) 2022: 1878-1898 - [c39]Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy:
Image Retrieval from Contextual Descriptions. ACL (1) 2022: 3426-3440 - [c38]Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau:
Compositional Generalization in Dependency Parsing. ACL (1) 2022: 6482-6493 - [c37]Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar:
Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. PAIS@ECAI 2022: 17-30 - [c36]Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy:
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining. EMNLP (Findings) 2022: 1731-1751 - [c35]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) 2022: 4449-4472 - [c34]Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic:
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. ICML 2022: 2370-2392 - [c33]Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaïane, Siva Reddy:
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL-HLT 2022: 5271-5285 - [i41]Nicolas Gontier, Siva Reddy, Christopher Pal:
Does entity abstraction help generative Transformers reason? CoRR abs/2201.01787 (2022) - [i40]Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic:
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. CoRR abs/2201.11732 (2022) - [i39]Edoardo Maria Ponti, Alessandro Sordoni, Siva Reddy:
Combining Modular Skills in Multitask Learning. CoRR abs/2202.13914 (2022) - [i38]Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy:
Image Retrieval from Contextual Descriptions. CoRR abs/2203.15867 (2022) - [i37]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. CoRR abs/2204.03025 (2022) - [i36]Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaïane, Siva Reddy:
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? CoRR abs/2204.07931 (2022) - [i35]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. CoRR abs/2204.10757 (2022) - [i34]Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Vlad Serban, Ekaterina Kochmar:
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. CoRR abs/2206.04187 (2022) - [i33]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. CoRR abs/2210.12574 (2022) - [i32]Jasper Jian, Siva Reddy:
Syntactic Substitutability as Unsupervised Dependency Syntax. CoRR abs/2211.16031 (2022) - [i31]Parishad BehnamGhader, Santiago Miret, Siva Reddy:
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model. CoRR abs/2212.09146 (2022) - 2021
- [c32]Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard:
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. ACL/IJCNLP (Findings) 2021: 1245-1260 - [c31]Moin Nadeem, Anna Bethke, Siva Reddy:
StereoSet: Measuring stereotypical bias in pretrained language models. ACL/IJCNLP (1) 2021: 5356-5371 - [c30]Meiqi Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani:
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering. AKBC 2021 - [c29]Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy:
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) 2021: 6398-6416 - [c28]Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban, Siva Reddy:
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval. EMNLP (1) 2021: 7064-7078 - [c27]Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott:
Visually Grounded Reasoning across Languages and Cultures. EMNLP (1) 2021: 10467-10485 - [c26]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT 2021: 1301-1312 - [c25]Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT 2021: 1660-1672 - [c24]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS 2021: 25968-25981 - [e1]Song Feng, Siva Reddy, Malihe Alikhani, He He, Yangfeng Ji, Mohit Iyyer, Zhou Yu:
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc@ACL-IJCNLP 2021, Online, August 5, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-68-8 [contents] - [i30]Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban, Siva Reddy:
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval. CoRR abs/2104.08801 (2021) - [i29]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR abs/2105.03519 (2021) - [i28]Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard:
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. CoRR abs/2106.01051 (2021) - [i27]Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama:
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR abs/2106.05346 (2021) - [i26]Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy:
Modelling Latent Translations for Cross-Lingual Transfer. CoRR abs/2107.11353 (2021) - [i25]Andreas Madsen, Siva Reddy, Sarath Chandar:
Post-hoc Interpretability for Neural NLP: A Survey. CoRR abs/2108.04840 (2021) - [i24]Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott:
Visually Grounded Reasoning across Languages and Cultures. CoRR abs/2109.13238 (2021) - [i23]Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy:
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching. CoRR abs/2110.00768 (2021) - [i22]Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau:
Compositional Generalization in Dependency Parsing. CoRR abs/2110.06843 (2021) - [i21]Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy:
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining. CoRR abs/2110.08412 (2021) - [i20]Nathan Schucher, Siva Reddy, Harm de Vries:
The Power of Prompt Tuning for Low-Resource Semantic Parsing. CoRR abs/2110.08525 (2021) - [i19]Nicholas Meade, Elinor Poole-Dayan, Siva Reddy:
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-Trained Language Models. CoRR abs/2110.08527 (2021) - 2020
- [c23]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. ACL 2020: 6555-6565 - [c22]Zhi Wen, Xing Han Lu, Siva Reddy:
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining. ClinicalNLP@EMNLP 2020: 130-135 - [c21]Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy:
You could have said that instead: Improving Chatbots with Natural Language Feedback. EMNLP (Findings) 2020: 2445-2453 - [c20]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS 2020 - [i18]Moin Nadeem, Anna Bethke, Siva Reddy:
StereoSet: Measuring stereotypical bias in pretrained language models. CoRR abs/2004.09456 (2020) - [i17]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. CoRR abs/2005.01655 (2020) - [i16]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR abs/2009.14786 (2020) - [i15]Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy:
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback. CoRR abs/2010.07261 (2020) - [i14]Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Model improves Generalization. CoRR abs/2011.07960 (2020) - [i13]Zhi Wen, Xing Han Lu, Siva Reddy:
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining. CoRR abs/2012.13978 (2020)
2010 – 2019
- 2019
- [j5]Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning an Executable Neural Semantic Parser. Comput. Linguistics 45(1): 59-94 (2019) - [j4]Siva Reddy, Danqi Chen, Christopher D. Manning:
CoQA: A Conversational Question Answering Challenge. Trans. Assoc. Comput. Linguistics 7: 249-266 (2019) - 2018
- [j3]Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman:
Learning Typed Entailment Graphs with Global Soft Constraints. Trans. Assoc. Comput. Linguistics 6: 703-717 (2018) - [i12]Siva Reddy, Danqi Chen, Christopher D. Manning:
CoQA: A Conversational Question Answering Challenge. CoRR abs/1808.07042 (2018) - [i11]Jianpeng Cheng, Siva Reddy, Mirella Lapata:
Building a Neural Semantic Parser from a Domain Ontology. CoRR abs/1812.10037 (2018) - 2017
- [c19]Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning Structured Natural Language Representations for Semantic Parsing. ACL (1) 2017: 44-55 - [c18]Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum:
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. ACL (2) 2017: 358-365 - [c17]Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajic Jr., Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çagri Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali El-Kahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li:
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2017: 1-19 - [c16]Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. EMNLP 2017: 89-101 - [c15]Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. EMNLP 2017: 875-886 - [c14]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Predicting Target Language CCG Supertags Improves Neural Machine Translation. WMT 2017: 68-79 - [i10]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Syntax-aware Neural Machine Translation Using CCG. CoRR abs/1702.01147 (2017) - [i9]Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. CoRR abs/1702.03196 (2017) - [i8]Federico Fancellu, Siva Reddy, Adam Lopez, Bonnie L. Webber:
Universal Dependencies to Logical Forms with Negation Scope. CoRR abs/1702.03305 (2017) - [i7]Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum:
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. CoRR abs/1704.08384 (2017) - [i6]Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning Structured Natural Language Representations for Semantic Parsing. CoRR abs/1704.08387 (2017) - [i5]Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. CoRR abs/1708.06022 (2017) - [i4]Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning an Executable Neural Semantic Parser. CoRR abs/1711.05066 (2017) - 2016
- [j2]Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata:
Transforming Dependency Structures to Logical Forms for Semantic Parsing. Trans. Assoc. Comput. Linguistics 4: 127-140 (2016) - [c13]Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao:
Question Answering on Freebase via Relation Extraction and Textual Evidence. ACL (1) 2016 - [c12]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. EMNLP 2016: 2022-2027 - [c11]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. INLG 2016: 153-162 - [c10]Bharat Ram Ambati, Siva Reddy, Mark Steedman:
Assessing Relative Sentence Complexity using an Incremental CCG Parser. HLT-NAACL 2016: 1051-1057 - [i3]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. CoRR abs/1601.06068 (2016) - [i2]Kun Xu, Yansong Feng, Siva Reddy, Songfang Huang, Dongyan Zhao:
Enhancing Freebase Question Answering Using Textual Evidence. CoRR abs/1603.00957 (2016) - [i1]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. CoRR abs/1609.09405 (2016) - 2014
- [j1]Siva Reddy, Mirella Lapata, Mark Steedman:
Large-scale Semantic Parsing without Question-Answer Pairs. Trans. Assoc. Comput. Linguistics 2: 377-392 (2014) - [c9]Anil Krishna Eragani, Varun Kuchibhotla, Dipti Misra Sharma, Siva Reddy, Adam Kilgarriff:
Hindi Word Sketches. ICON 2014: 328-335 - 2012
- [c8]Bharat Ram Ambati, Siva Reddy, Adam Kilgarriff:
Word Sketches for Turkish. LREC 2012: 2945-2950 - [c7]Diana McCarthy, Spandana Gella, Siva Reddy:
DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations. SemEval@NAACL-HLT 2012 - 2011
- [c6]Siva Reddy, Diana McCarthy, Suresh Manandhar:
An Empirical Study on Compositionality in Compound Nouns. IJCNLP 2011: 210-218 - [c5]Siva Reddy, Ioannis P. Klapaftis, Diana McCarthy, Suresh Manandhar:
Dynamic and Static Prototype Vectors for Semantic Composition. IJCNLP 2011: 705-713 - 2010
- [c4]Siva Reddy, Abhilash Inumella:
WSD as a Distributed Constraint Optimization Problem. ACL (Student Research Workshop) 2010: 13-18 - [c3]Adam Kilgarriff, Siva Reddy, Jan Pomikálek, P. V. S. Avinesh:
A Corpus Factory for Many Languages. LREC 2010 - [c2]Siva Reddy, Abhilash Inumella, Diana McCarthy, Mark Stevenson:
IIITH: Domain Specific Word Sense Disambiguation. SemEval@ACL 2010: 387-391
2000 – 2009
- 2009
- [c1]Siva Reddy, Abhilash Inumella, Rajeev Sangal, Soma Paul:
All Words Unsupervised Semantic Category Labeling for Hindi. RANLP 2009: 365-369