3 citations · 6 across the 6 of their papers we have counts for
7 papers · 1 filter
Scene Graph Generation for Better Image Captioning?
Maximilian Mozes, Martin Schmitt, Vladimir Golkov +2
We investigate the incorporation of visual relationships into the task of supervised image caption generation by proposing a model that leverages detected objects and auto-generate…
Continuous Entailment Patterns for Lexical Inference in Context
Martin Schmitt, Hinrich Schütze
Combining a pretrained language model (PLM) with textual patterns has been shown to help in both zero- and few-shot settings. For zero-shot performance, it makes sense to design pa…
Semi-Automated Labeling of Requirement Datasets for Relation Extraction
Jeremias Bohn, Jannik Fischbach, Martin Schmitt +2
Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling da…
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
Marina Speranskaya, Martin Schmitt, Benjamin Roth
Knowledge base completion (KBC) methods aim at inferring missing facts from the information present in a knowledge base (KB) by estimating the likelihood of candidate facts. In the…
Position Information in Transformers: An Overview
Philipp Dufter, Martin Schmitt, Hinrich Schütze
Transformers are arguably the main workhorse in recent Natural Language Processing research. By definition a Transformer is invariant with respect to reordering of the input. Howev…
Language Models for Lexical Inference in Context
Martin Schmitt, Hinrich Schütze
Lexical inference in context (LIiC) is the task of recognizing textual entailment between two very similar sentences, i.e., sentences that only differ in one expression. It can the…