Human communication often involves information gaps between the
interloc...
The task of textual geolocation - retrieving the coordinates of a place ...
Recent years have brought great advances into solving morphological task...
Verbal omissions are complex syntactic phenomena in VP coordination
stru...
This paper sheds light on the limitations of ChatGPT's understanding
cap...
Disagreement in natural language annotation has mostly been studied from...
Recent work attributes progress in NLP to large language models (LMs) wi...
We present a new pre-trained language model (PLM) for modern Hebrew, ter...
Can we teach natural language understanding models to track their belief...
The Universal Morphology (UniMorph) project is a collaborative effort
pr...
Large pretrained language models (PLMs) typically tokenize the input str...
Tokenizing raw texts into word units is an essential pre-processing step...
In recent years, a flurry of morphological datasets had emerged, most no...
Morphological tasks use large multi-lingual datasets that organize words...
While neural language models often perform surprisingly well on natural
...
Understanding the relations between entities denoted by NPs in text is a...
Asking questions about a situation is an inherent step towards understan...
In the domain of Morphology, Inflection is a fundamental and important t...
Forming and interpreting abstraction is a core process in human
communic...
Modality is the linguistic ability to describe events with added informa...
Neural models for the various flavours of morphological inflection tasks...
Large Pre-trained Language Models (PLMs) have become ubiquitous in the
d...
Crowdsourcing has eased and scaled up the collection of linguistic annot...
We study the problem of recognizing visual entities from the textual
des...
One of the primary tasks of morphological parsers is the disambiguation ...
Discourse relations describe how two propositions relate to one another,...
Named Entity Recognition (NER) is a fundamental NLP task, commonly formu...
It has been exactly a decade since the first establishment of SPMRL, a
r...
Syntactic dependencies can be predicted with high accuracy, and are usef...
Standard test sets for supervised learning evaluate in-distribution
gene...
Large-scale natural language understanding (NLU) systems have made impre...
Following navigation instructions in natural language requires a composi...
For languages with simple morphology, such as English, automatic annotat...