Despite the success of neural models in solving reasoning tasks, their
c...
Intertextual allusions hold a pivotal role in Classical Philology, with ...
The task of natural language inference (NLI) asks whether a given premis...
Conditional language models still generate unfaithful output that is not...
We propose SETI (Systematicity Evaluation of Textual Inference), a novel...
Arguments often do not make explicit how a conclusion follows from its
p...
Vision and language models (VL) are known to exploit unrobust indicators...
Recently, astonishing advances have been observed in AMR parsing, as mea...
Metrics for graph-based meaning representations (e.g., Abstract Meaning
...
Evaluating the quality of generated text is difficult, since traditional...
The semantic similarity of graph-based meaning representations, such as
...
We propose VALSE (Vision And Language Structured Evaluation), a novel
be...
Large-scale pretraining is fast becoming the norm in Vision-Language (VL...
Several metrics have been proposed for assessing the similarity of (abst...
In cross-lingual Abstract Meaning Representation (AMR) parsing, research...
Abductive reasoning starts from some observations and aims at finding th...
Despite recent successes of large pre-trained language models in solving...
In this work we leverage commonsense knowledge in form of knowledge path...
The last years have shown rapid developments in the field of multimodal
...
We investigate the ability of general-purpose pretrained vision and lang...
Social Commonsense Reasoning requires understanding of text, knowledge a...
Even though SRL is researched for many languages, major improvements hav...
Systems that generate sentences from (abstract) meaning representations
...
Different metrics have been proposed to compare Abstract Meaning
Represe...
When speaking or writing, people omit information that seems clear and
e...
We propose a Cross-lingual Encoder-Decoder model that simultaneously
tra...
In this work, we propose to use linguistic annotations as a basis for a
...
When assessing relations between argumentative units (e.g., support or
a...
Commonsense knowledge relations are crucial for advanced NLU tasks. We
e...
Abstract Meaning Representation (AMR) represents sentences as directed,
...
To make machines better understand sentiments, research needs to move fr...
Semantic proto-role labeling (SPRL) is an alternative to semantic role
l...
We explore a novel approach for Semantic Role Labeling (SRL) by casting ...
We introduce a neural reading comprehension model that integrates extern...
Reading comprehension is a challenging task in natural language processi...
For over 12 years, machine learning is used to extract opinion-holder-ta...
Resolving abstract anaphora is an important, but difficult task for text...
This paper describes two supervised baseline systems for the Story Cloze...
Modal sense classification (MSC) is a special WSD task that depends on t...