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Animesh Prasad
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2020 – today
- 2023
- [c12]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. ACL (1) 2023: 2079-2091 - [i4]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. CoRR abs/2305.16798 (2023) - 2022
- [c11]Carolina Cuesta-Lázaro, Animesh Prasad, Trevor Wood:
What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels. ACL (1) 2022: 5820-5829 - [c10]Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova:
Distribution Augmentation for Low-Resource Expressive Text-To-Speech. ICASSP 2022: 8307-8311 - [i3]Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova:
Distribution augmentation for low-resource expressive text-to-speech. CoRR abs/2202.06409 (2022) - 2020
- [c9]Akshay Bhola
, Kishaloy Halder, Animesh Prasad, Min-Yen Kan:
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. COLING 2020: 5832-5842
2010 – 2019
- 2019
- [c8]Animesh Prasad
, Hervé Déjean, Jean-Luc Meunier:
Versatile Layout Understanding via Conjugate Graph. ICDAR 2019: 287-294 - [c7]Xuan Su, Animesh Prasad
, Min-Yen Kan, Kazunari Sugiyama
:
Neural Multi-task Learning for Citation Function and Provenance. JCDL 2019: 394-395 - [c6]Animesh Prasad
, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa, Min-Yen Kan:
ChairVisE: An Analytic Lens for Conference Submission Data. JCDL 2019: 428-429 - [c5]Animesh Prasad, Min-Yen Kan:
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. NAACL-HLT (1) 2019: 1837-1846 - 2018
- [j2]Animesh Prasad
, Manpreet Kaur, Min-Yen Kan:
Neural ParsCit: a deep learning-based reference string parser. Int. J. Digit. Libr. 19(4): 323-337 (2018) - [c4]Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Identifying Emergent Research Trends by Key Authors and Phrases. COLING 2018: 259-269 - [i2]Animesh Prasad, Hervé Déjean, Jean-Luc Meunier, Max Weidemann
, Johannes Michael
, Gundram Leifert:
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records. CoRR abs/1807.06270 (2018) - [i1]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-Task Learning for Citation Function and Provenance. CoRR abs/1811.07351 (2018) - 2017
- [j1]Shailendra Shukla
, Rajiv Misra
, Animesh Prasad
:
Efficient disjoint boundary detection algorithm for surveillance capable WSNs. J. Parallel Distributed Comput. 109: 245-257 (2017) - [c3]Animesh Prasad, Min-Yen Kan:
WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling. SemEval@ACL 2017: 973-977 - [c2]Animesh Prasad:
WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization. BIRNDL@SIGIR (2) 2017: 26-32 - 2016
- [c1]Animesh Prasad
, Khe Chai Sim:
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition. INTERSPEECH 2016: 3823-3827
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