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Chris Newell
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2020 – today
- 2024
- [c11]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 - [c10]Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
Recent Trends in Linear Text Segmentation: A Survey. EMNLP (Findings) 2024: 3084-3095 - [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
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
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
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
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
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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