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WEBThe unsupervised extraction of hypernyms from PLMs by prompting has attracted recent attention, e.g., using patterns like A dog is a type of [MASK] and retrieving the most …
Hypert: hypernymy-aware BERT with Hearst pattern exploitation …
WEBSep 12, 2023 · We also present a fine-tuning strategy for training Hypert with special input prompts for the hypernym discovery task. The proposed method outperformed the …
Analyzing BERT ’s Knowledge of Hypernymy via …
WEBSep 27, 2024 · In this paper, we approach this question by examining BERT’s knowledge of lexical semantic relations. We focus on …
- Author: Michael Hanna, David Mareček
- Publish Year: 2021
AnchoredPrompts/README.md at main - GitHub
WEBThis repository contains the data and code for constructing anchored prompts for hypernym extraction from BERT. This is based on our paper accepted by *SEM 2023.
WEBmodel prompts and classic patterns, indicating that preliminary prompt selection can be carried out using smaller models before moving to larger ones. We also explore …
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[2401.04515] Exploring Prompt-Based Methods for Zero-Shot …
WEBJan 9, 2024 · Mikhail Tikhomirov, Natalia Loukachevitch. This article investigates a zero-shot approach to hypernymy prediction using large language models (LLMs). The study …
Analyzing BERT’s Knowledge of Hypernymy via Prompting
WEBPrompting BERT for Hypernymy (Hanna and Mareček, 2021) evaluated BERT on a variety of hypernym prompts, finding that its performance in predicting hypernyms varies …
Hypert: hypernymy-aware BERT with Hearst pattern exploitation …
WEBSep 12, 2023 · We also present a fine-tuning strategy for training Hypert with special input prompts for the hypernym discovery task.
Analyzing BERT’s Knowledge of Hypernymy via Prompting
WEBThis paper examines BERT’s knowledge of lexical semantic relations, focusing on hypernymy, the “is-a” relation that relates a word to a superordinate category, and finds …
ChunhuaLiu596/AnchoredPrompts - GitHub
WEBAnchored Prompts. This repository contains the data and code for constructing anchored prompts for hypernym extraction from BERT. This is based on our paper accepted by *SEM 2023.
Exploring Prompt-Based Methods for Zero-Shot Hypernym …
WEBJan 9, 2024 · A zero-shot approach to hypernymy prediction using large language models (LLMs) is investigated, applying a method based on text probability calculation to various …
WEBRecently, prompting methods have attempted to find hypernyms using pretrained language models with masked prompts. Although language models alleviate the prob‐ lem of w …
2401.04515 - Exploring Prompt-Based Methods for Zero-Shot …
WEBJan 9, 2024 · Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models. (2401.04515) Published Jan 9, 2024 in cs.CL and cs.AI. …
WEBIn this paper, we approach this question by examining BERT’s knowledge of lexical semantic relations. We focus on hypernymy, the “is-a” relation that relates a word to a …
Hypernymy and hyponymy - Wikipedia
WEBHypernymy and hyponymy are the semantic relations between a generic term (hypernym) and a specific instance of it (hyponym). The hypernym is also called a supertype, …
WEBThe tax-onomy expansion task aims to insert new concepts (“query concepts”) into an existing taxonomy (“seed taxonomy”) by finding their most appropriate hypernyms …
Exploring Prompt-Based Methods for Zero-Shot Hypernym …
WEBPrompts can be applied in zero-shot, fine-tuning and prompt tuning regimes (Xu H. et al., ). In this paper, we experiment with zero-shot prompt techniques and study several …
WEBPrompts We use the following prompts: gen. : [t2] is more general than [ t1]. spec. : [t1] is more specic than [ t2]. type : [t1] is a type of [ t2]. gen: and spec: prompts are hand …
WEBTo tackle this problem, we pro-pose a Knowledge Enhanced Prompt Learn-ing (KEPL) method for Chinese hypernym-hyponym relation extraction. Our model uses the Hearst …
WEBFor each target term in the dataset, we fed a prompt including the term, and asked the masked language models to assign a probability score to each candi-date hypernym. …
WEBarXiv:2012.03418v1 [cs.CL] 7 Dec 2020. From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of …
KEPL: Knowledge Enhanced Prompt Learning for Chinese …
WEB6 days ago · To tackle this problem, we propose a Knowledge Enhanced Prompt Learning (KEPL) method for Chinese hypernym-hyponym relation extraction. Our model uses the …
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