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Chris Newell
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2020 – today
- 2024
- [c10]Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation. LREC/COLING 2024: 17525-17536 - [i3]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [j3]Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task. PeerJ Comput. Sci. 9: e1593 (2023) - [c9]Iacopo Ghinassi, Matthew Purver, Huy Phan, Chris Newell:
Exploring Pre-Trained Neural Audio Representations for Audio Topic Segmentation. ICME 2023: 1086-1091 - [c8]Taner Cagali, Hadi Wazni, Saba Nazir, Mehrnoosh Sadrzadeh, Chris Newell:
Semantic and Lexical Token Based Vectors Improve Precision of Recommendations for TV Programmes. ISM 2023: 287-290 - [c7]Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
Multimodal Topic Segmentation of Podcast Shows with Pre-trained Neural Encoders. ICMR 2023: 602-606 - [c6]Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation. RANLP 2023: 408-418 - [i2]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - 2021
- [c5]Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell:
Enhancing Personalised Recommendations with the Use of Multimodal Information. ISM 2021: 186-190 - 2020
- [c4]Saba Nazir, Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell:
Audiovisual, Genre, Neural and Topical Textual Embeddings for TV Programme Content Representation. ISM 2020: 197-200 - [i1]Saba Nazir, Taner Cagali, Chris Newell, Mehrnoosh Sadrzadeh:
Cosine Similarity of Multimodal Content Vectors for TV Programmes. CoRR abs/2009.11129 (2020)
2010 – 2019
- 2017
- [j2]Bibek Paudel, Fabian Christoffel, Chris Newell, Abraham Bernstein:
Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications. ACM Trans. Interact. Intell. Syst. 7(1): 1:1-1:34 (2017) - 2015
- [c3]Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein:
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks. RecSys 2015: 163-170 - 2013
- [c2]Chris Newell, Libby Miller:
Design and evaluation of a client-side recommender system. RecSys 2013: 473-474 - 2012
- [j1]Bart P. Knijnenburg, Martijn C. Willemsen, Zeno Gantner, Hakan Soncu, Chris Newell:
Explaining the user experience of recommender systems. User Model. User Adapt. Interact. 22(4-5): 441-504 (2012) - 2011
- [c1]Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme:
Keyword-Based TV Program Recommendation. ITWP@IJCAI 2011
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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