Creating Causal Embeddings for Question Answering with Minimal Supervision

26 September 2016

Papers citing "Creating Causal Embeddings for Question Answering with Minimal Supervision"

8 / 8 papers shown

Title
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents Gunjan Haldar Aman Mittal Pradyumna Gupta 34 1 0 31 Oct 2021
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision Zhongyang Li Xiao Ding Kuo Liao Bing Qin Ting Liu CML 107 19 0 21 Jul 2021
Causal BERT : Language models for causality detection between events expressed in text Vivek Khetan Roshni Ramnani M. Anand Shubhashis Sengupta Andrew E.Fano 62 47 0 10 Dec 2020
DeVLBert: Learning Deconfounded Visio-Linguistic Representations Shengyu Zhang Tan Jiang Tan Wang Kun Kuang Zhou Zhao Jianke Zhu Jin Yu Hongxia Yang Leilei Gan OOD 81 88 0 16 Aug 2020
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation Manirupa Das Zhen Wang Evan Jaffe Madhuja Chattopadhyay Eric Fosler-Lussier R. Ramnath AAML 70 2 0 18 Oct 2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text Bhavana Dalvi Niket Tandon Antoine Bosselut Wen-tau Yih Peter Clark 80 49 0 10 Sep 2019
Lightly-supervised Representation Learning with Global Interpretability M. A. Valenzuela-Escarcega Ajay Nagesh Mihai Surdeanu SSL 73 23 0 29 May 2018
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks Stanislaw Jastrzebski Damian Lesniak Wojciech M. Czarnecki 79 77 0 07 Feb 2017