Recent advances in natural language inference: A survey of benchmarks, resources, and approaches
In the NLP community, recent years have seen a surge of research activities that address
machines' ability to perform deep language understanding which goes beyond what is …
machines' ability to perform deep language understanding which goes beyond what is …
Extended overview of CLEF HIPE 2020: named entity processing on historical newspapers
M Ehrmann, M Romanello, A Flückiger… - CEUR Workshop …, 2020 - zora.uzh.ch
This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
The parallel meaning bank: Towards a multilingual corpus of translations annotated with compositional meaning representations
The Parallel Meaning Bank is a corpus of translations annotated with shared, formal
meaning representations comprising over 11 million words divided over four languages …
meaning representations comprising over 11 million words divided over four languages …
[HTML][HTML] A survey on narrative extraction from textual data
Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …
fundamental way of communication between people. Computational understanding of the …
[PDF][PDF] Universal decompositional semantics on universal dependencies
AS White, D Reisinger, K Sakaguchi… - Proceedings of the …, 2016 - aclanthology.org
We present a framework for augmenting data sets from the Universal Dependencies project
with Universal Decompositional Semantics. Where the Universal Dependencies project …
with Universal Decompositional Semantics. Where the Universal Dependencies project …
Collecting diverse natural language inference problems for sentence representation evaluation
We present a large-scale collection of diverse natural language inference (NLI) datasets that
help provide insight into how well a sentence representation captures distinct types of …
help provide insight into how well a sentence representation captures distinct types of …
Designing a uniform meaning representation for natural language processing
In this paper we present Uniform Meaning Representation (UMR), a meaning representation
designed to annotate the semantic content of a text. UMR is primarily based on Abstract …
designed to annotate the semantic content of a text. UMR is primarily based on Abstract …
MRP 2020: The second shared task on cross-framework and cross-lingual meaning representation parsing
Abstract The 2020 Shared Task at the Conference for Computational Language Learning
(CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks and …
(CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks and …
A primal dual formulation for deep learning with constraints
For several problems of interest, there are natural constraints which exist over the output
label space. For example, for the joint task of NER and POS labeling, these constraints might …
label space. For example, for the joint task of NER and POS labeling, these constraints might …
Text analysis using deep neural networks in digital humanities and information science
O Suissa, A Elmalech… - Journal of the …, 2022 - Wiley Online Library
Combining computational technologies and humanities is an ongoing effort aimed at making
resources such as texts, images, audio, video, and other artifacts digitally available …
resources such as texts, images, audio, video, and other artifacts digitally available …