Improving sentence compression by learning to predict gaze

12 April 2016

Papers citing "Improving sentence compression by learning to predict gaze"

21 / 21 papers shown

Title
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models Angela Lopez-Cardona Carlos Segura Alexandros Karatzoglou Sergi Abadal Ioannis Arapakis ALM 67 3 0 02 Oct 2024
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations Stephanie Brandl Oliver Eberle Tiago F. R. Ribeiro Anders Søgaard Nora Hollenstein 45 1 0 29 Feb 2024
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences Tatiana Passali Efstathios Chatzikyriakidis Stelios Andreadis Thanos G. Stavropoulos Anastasia Matonaki A. Fachantidis Grigorios Tsoumakas 31 1 0 08 Dec 2023
Synthesizing Human Gaze Feedback for Improved NLP Performance Varun Khurana Yaman Kumar Singla Nora Hollenstein R. Kumar Balaji Krishnamurthy 20 16 0 11 Feb 2023
Language Cognition and Language Computation -- Human and Machine Language Understanding Shaonan Wang Nai Ding Nan Lin Jiajun Zhang Chengqing Zong 35 2 0 12 Jan 2023
Revision for Concision: A Constrained Paraphrase Generation Task Wenchuan Mu Kwanin Lim 37 3 0 25 Oct 2022
A Survey on Using Gaze Behaviour for Natural Language Processing Sandeep Albert Mathias Diptesh Kanojia Abhijit Mishra P. Bhattacharyya 38 24 0 21 Dec 2021
Cognition-aware Cognate Detection Diptesh Kanojia Prashant Sharma Sayali Ghodekar P. Bhattacharyya Gholamreza Haffari Malhar A. Kulkarni 24 10 0 15 Dec 2021
Multilingual Language Models Predict Human Reading Behavior Nora Hollenstein Federico Pirovano Ce Zhang Lena Jäger Lisa Beinborn VLM 50 46 0 12 Apr 2021
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension J. Malmaud R. Levy Yevgeni Berzak 30 32 0 30 Sep 2020
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation Nora Hollenstein M. Troendle Ce Zhang N. Langer 34 84 0 02 Dec 2019
Advancing NLP with Cognitive Language Processing Signals Nora Hollenstein Maria Barrett M. Troendle Francesco Bigiolli N. Langer Ce Zhang 31 39 0 04 Apr 2019
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction Yi Luan Luheng He Mari Ostendorf Hannaneh Hajishirzi 69 668 0 29 Aug 2018
Multi-Task Learning for Sequence Tagging: An Empirical Study Soravit Changpinyo Hexiang Hu Fei Sha 31 67 0 13 Aug 2018
Neural-Davidsonian Semantic Proto-role Labeling Rachel Rudinger Adam R. Teichert Ryan Culkin Sheng Zhang Benjamin Van Durme VLM 11 24 0 21 Apr 2018
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data Jingang Wang Junfeng Tian Long Qiu Sheng Li Jun Lang Luo Si Man Lan 29 43 0 05 Jan 2018
Imagination improves Multimodal Translation Desmond Elliott Ákos Kádár 29 136 0 11 May 2017
Identifying beneficial task relations for multi-task learning in deep neural networks Joachim Bingel Anders Søgaard 24 251 0 27 Feb 2017
Leveraging Cognitive Features for Sentiment Analysis Abhijit Mishra Diptesh Kanojia Seema Nagar Kuntal Dey P. Bhattacharyya 24 53 0 19 Jan 2017
DyNet: The Dynamic Neural Network Toolkit Graham Neubig Chris Dyer Yoav Goldberg Austin Matthews Bridger Waleed Ammar ... Yusuke Oda Matthew Richardson Naomi Saphra Swabha Swayamdipta Pengcheng Yin 43 386 0 15 Jan 2017
What to do about non-standard (or non-canonical) language in NLP Barbara Plank 22 96 0 28 Aug 2016