Martin Schmitt | DeepAI

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∙ 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...

0 Marina Sedinkina, et al. ∙

∙ 09/23/2021

Scene Graph Generation for Better Image Captioning?

We investigate the incorporation of visual relationships into the task o...

0 Maximilian Mozes, et al. ∙

∙ 09/08/2021

Continuous Entailment Patterns for Lexical Inference in Context

Combining a pretrained language model (PLM) with textual patterns has be...

0 Martin Schmitt, et al. ∙

∙ 09/05/2021

Semi-Automated Labeling of Requirement Datasets for Relation Extraction

Creating datasets manually by human annotators is a laborious task that ...

0 Jeremias Bohn, et al. ∙

∙ 02/22/2021

Position Information in Transformers: An Overview

Transformers are arguably the main workhorse in recent Natural Language ...

0 Philipp Dufter, et al. ∙

∙ 02/10/2021

Language Models for Lexical Inference in Context

Lexical inference in context (LIiC) is the task of recognizing textual e...

0 Martin Schmitt, et al. ∙

∙ 02/09/2021

Improving Visual Reasoning by Exploiting The Knowledge in Texts

This paper presents a new framework for training image-based classifiers...

0 Sahand Sharifzadeh, et al. ∙

∙ 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 ...

0 Leonardo F. R. Ribeiro, et al. ∙

∙ 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...

0 Martin Schmitt, et al. ∙

∙ 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), ...

0 Martin Schmitt, et al. ∙

∙ 04/20/2019

Unsupervised Text Generation from Structured Data

This work presents a joint solution to two challenging tasks: text gener...

0 Martin Schmitt, et al. ∙

∙ 08/28/2018

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks

In this work, we propose a new model for aspect-based sentiment analysis...

0 Martin Schmitt, et al. ∙

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