research
∙
12/07/2021
Emotion-Cause Pair Extraction in Customer Reviews
Emotion-Cause Pair Extraction (ECPE) is a complex yet popular area in Na...
share
research
∙
06/10/2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Fact verification has attracted a lot of attention in the machine learni...
research
∙
10/25/2019
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Bilinear models such as DistMult and ComplEx are effective methods for k...
research
∙
05/29/2019
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
The goal of a Question Paraphrase Retrieval (QPR) system is to retrieve ...
research
∙
04/24/2019
Generating Token-Level Explanations for Natural Language Inference
The task of Natural Language Inference (NLI) is widely modeled as superv...
research
∙
02/26/2019
Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning
In this paper, we investigate the practical challenges of using reinforc...
research
∙
11/27/2018
The Fact Extraction and VERification (FEVER) Shared Task
We present the results of the first Fact Extraction and VERification (FE...
research
∙
04/30/2018
Demand-Weighted Completeness Prediction for a Knowledge Base
In this paper we introduce the notion of Demand-Weighted Completeness, a...
research
∙
03/24/2018
Simple Large-scale Relation Extraction from Unstructured Text
Knowledge-based question answering relies on the availability of facts, ...
research
∙
03/14/2018
FEVER: a large-scale dataset for Fact Extraction and VERification
Unlike other tasks and despite recent interest, research in textual clai...
research
∙
08/01/2016
