Creating Causal Embeddings for Question Answering with Minimal Supervision

26 September 2016

Rebecca Sharp

Mihai Surdeanu

Peter Alexander Jansen

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

11 / 11 papers shown

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations

Xin Liu

392

28 Apr 2023

A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms

224

14 Sep 2022

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

31 Oct 2021

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision

309

21 Jul 2021

Causal BERT : Language models for causality detection between events expressed in text

236

10 Dec 2020

Towards Causal Explanation Detection with Pyramid Salient-Aware NetworkChina National Conference on Chinese Computational Linguistics (CCL), 2020

Xinyu Zuo

Yubo Chen

Kang Liu

Jun Zhao

225

22 Sep 2020

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

Zhou Zhao

Hongxia Yang

263

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

269

18 Oct 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2019

249

10 Sep 2019

Lightly-supervised Representation Learning with Global Interpretability

M. A. Valenzuela-Escarcega

Ajay Nagesh

Mihai Surdeanu

SSL

134

29 May 2018

How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks

Stanislaw Jastrzebski

Damian Lesniak

Wojciech M. Czarnecki

204

07 Feb 2017