DuerQuiz: A personalized question recommender system for intelligent job interview
In talent recruitment, the job interview aims at selecting the right candidates for the right jobs
through assessing their skills and experiences in relation to the job positions. While …
through assessing their skills and experiences in relation to the job positions. While …
Crim at semeval-2018 task 9: A hybrid approach to hypernym discovery
G Bernier-Colborne, C Barriere - Proceedings of the 12th …, 2018 - aclanthology.org
This report describes the system developed by the CRIM team for the hypernym discovery
task at SemEval 2018. This system exploits a combination of supervised projection learning …
task at SemEval 2018. This system exploits a combination of supervised projection learning …
Expanding taxonomies with implicit edge semantics
E Manzoor, R Li, D Shrouty, J Leskovec - Proceedings of The Web …, 2020 - dl.acm.org
Curated taxonomies enhance the performance of machine-learning systems via high-quality
structured knowledge. However, manually curating a large and rapidly-evolving taxonomy is …
structured knowledge. However, manually curating a large and rapidly-evolving taxonomy is …
Hypert: hypernymy-aware BERT with Hearst pattern exploitation for hypernym discovery
Hypernym discovery is challenging because it aims to find suitable instances for a given
hyponym from a predefined hypernym vocabulary. Existing hypernym discovery methods …
hyponym from a predefined hypernym vocabulary. Existing hypernym discovery methods …
Birre: learning bidirectional residual relation embeddings for supervised hypernymy detection
C Wang, X He - Proceedings of the 58th annual meeting of the …, 2020 - aclanthology.org
The hypernymy detection task has been addressed under various frameworks. Previously,
the design of unsupervised hypernymy scores has been extensively studied. In contrast …
the design of unsupervised hypernymy scores has been extensively studied. In contrast …
Negative sampling improves hypernymy extraction based on projection learning
We present a new approach to extraction of hypernyms based on projection learning and
word embeddings. In contrast to classification-based approaches, projection-based methods …
word embeddings. In contrast to classification-based approaches, projection-based methods …
[PDF][PDF] Hypernym discovery via a recurrent mapping model
Hypernym discovery aims to identify all possible hypernyms of a given term. The most recent
hypernym discovery models exploit multiple mapping functions to project a term to different …
hypernym discovery models exploit multiple mapping functions to project a term to different …
KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction
N Ma, D Wang, H Bao, L He… - Proceedings of the 2023 …, 2023 - aclanthology.org
Abstract Modeling hypernym-hyponym (“is-a”) relations is very important for many natural
language processing (NLP) tasks, such as classification, natural language inference and …
language processing (NLP) tasks, such as classification, natural language inference and …
Discovering hypernymy in text-rich heterogeneous information network by exploiting context granularity
Text-rich heterogeneous information networks (text-rich HINs) are ubiquitous in real-world
applications. Hypernymy, also known as is-a relation or subclass-of relation, lays in the core …
applications. Hypernymy, also known as is-a relation or subclass-of relation, lays in the core …
Aligning vector-spaces with noisy supervised lexicons
The problem of learning to translate between two vector spaces given a set of aligned points
arises in several application areas of NLP. Current solutions assume that the lexicon which …
arises in several application areas of NLP. Current solutions assume that the lexicon which …