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ORCIDPranava Swaroop Madhyastha
Pranava Madhyastha
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- 2024
[c44]Pranava Madhyastha
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Towards Holistic, Pragmatic and Multimodal Conversational Systems. AAAI 2024: 22677- [e2]Tarek R. Besold, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner:
Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14979, Springer 2024, ISBN 978-3-031-71166-4 [contents] - [e1]Tarek R. Besold, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner:
Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14980, Springer 2024, ISBN 978-3-031-71169-5 [contents] - [i36]Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Pranava Madhyastha:
LLM-Assisted Visual Analytics: Opportunities and Challenges. CoRR abs/2409.02691 (2024) - 2023
- [j7]Pranava Madhyastha, Antigoni Founta, Lucia Specia:
A study towards contextual understanding of toxicity in online conversations. Nat. Lang. Eng. 29(6): 1538-1560 (2023) - [c43]Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco:
Are words equally surprising in audio and audio-visual comprehension? CogSci 2023 - [c42]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. EACL (Student Research Workshop) 2023: 143-148 - [c41]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha:
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. EACL (Findings) 2023: 1648-1660 - [c40]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Towards preserving word order importance through Forced Invalidation. EACL 2023: 2555-2562 - [c39]Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde:
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI 2023: 199-222 - [c38]Maeve Hutchinson, Aidan Slingsby, Radu Jianu, Pranava Madhyastha:
Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models. EuroVis (Posters) 2023: 77-79 - [i35]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha:
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. CoRR abs/2301.10799 (2023) - [i34]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. CoRR abs/2304.03639 (2023) - [i33]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Towards preserving word order importance through Forced Invalidation. CoRR abs/2304.05221 (2023) - [i32]Xinyu Liu, Yan Ding, Kaikai An, Chunyang Xiao, Pranava Madhyastha, Tong Xiao, Jingbo Zhu:
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations. CoRR abs/2306.13971 (2023) - [i31]Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco:
Are words equally surprising in audio and audio-visual comprehension? CoRR abs/2307.07277 (2023) - 2022
- [c37]Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha, Lluís Padró:
Belief Revision Based Caption Re-ranker with Visual Semantic Information. COLING 2022: 5488-5506 - [c36]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. HLC 2022: 24-28 - [c35]Pranava Madhyastha:
Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text. ICMI Companion 2022: 42-45 - [c34]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos:
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. ICWSM 2022: 1425-1429 - [i30]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos:
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. CoRR abs/2204.00458 (2022) - [i29]Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha, Lluís Padró:
Belief Revision based Caption Re-ranker with Visual Semantic Information. CoRR abs/2209.08163 (2022) - [i28]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Exploring the Long-Term Generalization of Counting Behavior in RNNs. CoRR abs/2211.16429 (2022) - 2021
- [j6]Lucia Specia, Josiah Wang, Sun Jae Lee, Alissa Ostapenko, Pranava Madhyastha:
Read, spot and translate. Mach. Transl. 35(2): 145-165 (2021) - [j5]Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia:
MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish. Mach. Transl. 35(2): 265-288 (2021) - [j4]Emre Boran, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem, Pranava Madhyastha, Lucia Specia:
Leveraging auxiliary image descriptions for dense video captioning. Pattern Recognit. Lett. 146: 70-76 (2021) - [c33]Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
BERTGen: Multi-task Generation through BERT. ACL/IJCNLP (1) 2021: 6440-6455 - [c32]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Discrete Reasoning Templates for Natural Language Understanding. EACL (Student Research Workshop) 2021: 80-87 - [c31]Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia:
Cross-lingual Visual Pre-training for Multimodal Machine Translation. EACL 2021: 1317-1324 - [c30]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL 2021: 3222-3233 - [c29]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP (1) 2021: 9643-9649 - [c28]Julio Amador Díaz López, Pranava Madhyastha:
A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations. KnOD@WWW 2021 - [i27]Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia:
Cross-lingual Visual Pre-training for Multimodal Machine Translation. CoRR abs/2101.10044 (2021) - [i26]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR abs/2102.11387 (2021) - [i25]Josiah Wang, Pranava Madhyastha, Josiel Figueiredo, Chiraag Lala, Lucia Specia:
MultiSubs: A Large-scale Multimodal and Multilingual Dataset. CoRR abs/2103.01910 (2021) - [i24]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Discrete Reasoning Templates for Natural Language Understanding. CoRR abs/2104.02115 (2021) - [i23]Chunyang Xiao, Pranava Madhyastha:
A call for better unit testing for invariant risk minimisation. CoRR abs/2106.03234 (2021) - [i22]Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
BERTGEN: Multi-task Generation through BERT. CoRR abs/2106.03484 (2021) - [i21]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Numerical reasoning in machine reading comprehension tasks: are we there yet? CoRR abs/2109.08207 (2021) - 2020
- [j3]Lucia Specia, Loïc Barrault, Ozan Caglayan, Amanda Cardoso Duarte, Desmond Elliott, Spandana Gella, Nils Holzenberger, Chiraag Lala, Sun Jae Lee, Jindrich Libovický, Pranava Madhyastha, Florian Metze, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, Raman Arora:
Grounded Sequence to Sequence Transduction. IEEE J. Sel. Top. Signal Process. 14(3): 577-591 (2020) - [c27]Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. COLING 2020: 2322-2328 - [c26]Carolina Scarton, Pranava Madhyastha, Lucia Specia:
Deciding When, How and for Whom to Simplify. ECAI 2020: 2172-2179 - [c25]Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia:
Simultaneous Machine Translation with Visual Context. EMNLP (1) 2020: 2350-2361 - [i20]Karolina Sowinska, Pranava Madhyastha:
A Tweet-based Dataset for Company-Level Stock Return Prediction. CoRR abs/2006.09723 (2020) - [i19]Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia:
Simultaneous Machine Translation with Visual Context. CoRR abs/2009.07310 (2020) - [i18]Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. CoRR abs/2010.13588 (2020) - [i17]Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia:
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish. CoRR abs/2012.07098 (2020)
2010 – 2019
- 2019
- [c24]Julia Ive, Pranava Madhyastha, Lucia Specia:
Distilling Translations with Visual Awareness. ACL (1) 2019: 6525-6538 - [c23]Pranava Madhyastha, Josiah Wang, Lucia Specia:
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. ACL (1) 2019: 6539-6550 - [c22]Pranava Madhyastha, Rishabh Jain:
On Model Stability as a Function of Random Seed. CoNLL 2019: 929-939 - [c21]Julia Ive, Pranava Madhyastha, Lucia Specia:
Deep Copycat Networks for Text-to-Text Generation. EMNLP/IJCNLP (1) 2019: 3225-3234 - [c20]Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora:
Learning from Multiview Correlations in Open-domain Videos. ICASSP 2019: 8628-8632 - [c19]Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault:
Probing the Need for Visual Context in Multimodal Machine Translation. NAACL-HLT (1) 2019: 4159-4170 - [c18]Julian Chow, Lucia Specia, Pranava Madhyastha:
WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation. WMT (2) 2019: 494-500 - [i16]Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault:
Probing the Need for Visual Context in Multimodal Machine Translation. CoRR abs/1903.08678 (2019) - [i15]Rishabh Jain, Pranava Madhyastha:
Model Explanations under Calibration. CoRR abs/1906.07622 (2019) - [i14]Julia Ive, Pranava Madhyastha, Lucia Specia:
Distilling Translations with Visual Awareness. CoRR abs/1906.07701 (2019) - [i13]Pranava Madhyastha, Josiah Wang, Lucia Specia:
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. CoRR abs/1907.09340 (2019) - [i12]Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia:
Predicting Actions to Help Predict Translations. CoRR abs/1908.01665 (2019) - [i11]Jindrich Libovický, Pranava Madhyastha:
Probing Representations Learned by Multimodal Recurrent and Transformer Models. CoRR abs/1908.11125 (2019) - [i10]Pranava Madhyastha, Rishabh Jain:
On Model Stability as a Function of Random Seed. CoRR abs/1909.10447 (2019) - [i9]Ozan Caglayan, Zixiu Wu, Pranava Madhyastha, Josiah Wang, Lucia Specia:
Imperial College London Submission to VATEX Video Captioning Task. CoRR abs/1910.07482 (2019) - 2018
- [j2]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
The role of image representations in vision to language tasks. Nat. Lang. Eng. 24(3): 415-439 (2018) - [c17]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space. BMVC 2018: 306 - [c16]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space. BlackboxNLP@EMNLP 2018: 381-383 - [c15]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
Defoiling Foiled Image Captions. NAACL-HLT (2) 2018: 433-438 - [c14]Josiah Wang, Pranava Swaroop Madhyastha, Lucia Specia:
Object Counts! Bringing Explicit Detections Back into Image Captioning. NAACL-HLT 2018: 2180-2193 - [c13]Chiraag Lala, Pranava Swaroop Madhyastha, Carolina Scarton, Lucia Specia:
Sheffield Submissions for WMT18 Multimodal Translation Shared Task. WMT (shared task) 2018: 624-631 - [i8]Josiah Wang, Pranava Swaroop Madhyastha, Lucia Specia:
Object Counts! Bringing Explicit Detections Back into Image Captioning. CoRR abs/1805.00314 (2018) - [i7]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
Defoiling Foiled Image Captions. CoRR abs/1805.06549 (2018) - [i6]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
End-to-end Image Captioning Exploits Multimodal Distributional Similarity. CoRR abs/1809.04144 (2018) - [i5]Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora:
Learning from Multiview Correlations in Open-Domain Videos. CoRR abs/1811.08890 (2018) - [i4]Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope:
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. CoRR abs/1811.10520 (2018) - 2017
- [b1]Pranava Swaroop Madhyastha:
Exploiting word embeddings for modeling bilexical relations. Polytechnic University of Catalonia, Spain, 2017 - [j1]Chiraag Lala, Pranava Madhyastha, Josiah Wang, Lucia Specia:
Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation. Prague Bull. Math. Linguistics 108: 197-208 (2017) - [c12]Salil Deena, Raymond W. M. Ng, Pranava Swaroop Madhyastha, Lucia Specia, Thomas Hain:
Exploring the use of acoustic embeddings in neural machine translation. ASRU 2017: 450-457 - [c11]Salil Deena, Raymond W. M. Ng, Pranava Swaroop Madhyastha, Lucia Specia, Thomas Hain:
Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features. INTERSPEECH 2017: 2715-2719 - [c10]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Prepositional Phrase Attachment over Word Embedding Products. IWPT 2017: 32-43 - [c9]Frédéric Blain, Lucia Specia, Pranava Madhyastha:
Exploring Hypotheses Spaces in Neural Machine Translation. MTSummit (1) 2017: 282-298 - [c8]Pranava Swaroop Madhyastha, Cristina España-Bonet:
Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation. Rep4NLP@ACL 2017: 139-145 - [c7]Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation. WMT 2017: 470-476 - 2016
- [c6]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. HLT-NAACL 2016: 552-557 - [c5]Pranava Swaroop Madhyastha, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Mapping Unseen Words to Task-Trained Embedding Spaces. Rep4NLP@ACL 2016: 100-110 - [c4]Marta R. Costa-jussà, Cristina España-Bonet, Pranava Swaroop Madhyastha, Carlos Escolano, José A. R. Fonollosa:
The TALP-UPC Spanish-English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System. WMT 2016: 463-468 - [i3]Pranava Swaroop Madhyastha, Cristina España-Bonet:
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation. CoRR abs/1608.01910 (2016) - 2015
- [c3]Lily D. Ellebracht, Arnau Ramisa, Pranava Swaroop Madhyastha, Jose Cordero-Rama, Francesc Moreno-Noguer, Ariadna Quattoni:
Semantic Tuples for Evaluation of Image to Sentence Generation. VL@EMNLP 2015: 18-28 - [c2]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison. ICLR (Workshop) 2015 - [i2]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. CoRR abs/1509.02130 (2015) - [i1]Pranava Swaroop Madhyastha, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Mapping Unseen Words to Task-Trained Embedding Spaces. CoRR abs/1510.02387 (2015) - 2014
- [c1]Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni:
Learning Task-specific Bilexical Embeddings. COLING 2014: 161-171
Coauthor Index
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