research
∙
03/31/2022
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?
The practical success of much of NLP depends on the availability of trai...
share
research
∙
09/23/2021
Scene Graph Generation for Better Image Captioning?
We investigate the incorporation of visual relationships into the task o...
research
∙
09/08/2021
Continuous Entailment Patterns for Lexical Inference in Context
Combining a pretrained language model (PLM) with textual patterns has be...
research
∙
09/05/2021
Semi-Automated Labeling of Requirement Datasets for Relation Extraction
Creating datasets manually by human annotators is a laborious task that ...
research
∙
02/22/2021
Position Information in Transformers: An Overview
Transformers are arguably the main workhorse in recent Natural Language ...
research
∙
02/10/2021
Language Models for Lexical Inference in Context
Lexical inference in context (LIiC) is the task of recognizing textual e...
research
∙
02/09/2021
Improving Visual Reasoning by Exploiting The Knowledge in Texts
This paper presents a new framework for training image-based classifiers...
research
∙
07/16/2020
Investigating Pretrained Language Models for Graph-to-Text Generation
Graph-to-text generation, a subtask of data-to-text generation, aims to ...
research
∙
06/16/2020
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs
We present a novel encoder-decoder architecture for graph-to-text genera...
research
∙
06/04/2019
SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
We present SherLIiC, a testbed for lexical inference in context (LIiC), ...
research
∙
04/20/2019
Unsupervised Text Generation from Structured Data
This work presents a joint solution to two challenging tasks: text gener...
research
∙
08/28/2018