Lexical Entailment

17 papers with code • 2 benchmarks • 5 datasets

Lexical Entailment is concerned with identifying the semantic relation, if any, holding between two words, as in (pigeon, hyponym, animal).

Source: Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks

vityavitalich/taxollama 14 Mar 2024

It achieves 11 SotA results, 4 top-2 results out of 16 tasks for the Taxonomy Enrichment, Hypernym Discovery, Taxonomy Construction, and Lexical Entailment tasks.

3
14 Mar 2024

Continuous Entailment Patterns for Lexical Inference in Context

mnschmit/conan EMNLP 2021

If we allow for tokens outside the PLM's vocabulary, patterns can be adapted more flexibly to a PLM's idiosyncrasies.

4
08 Sep 2021

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

RussianNLP/RussianSuperGLUE EMNLP 2020

In this paper, we introduce an advanced Russian general language understanding evaluation benchmark -- RussianGLUE.

99
29 Oct 2020

Mining Knowledge for Natural Language Inference from Wikipedia Categories

ZeweiChu/WikiNLI Findings of the Association for Computational Linguistics 2020

Accurate lexical entailment (LE) and natural language inference (NLI) often require large quantities of costly annotations.

16
03 Oct 2020

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation

atticusg/MoNLI EMNLP (BlackboxNLP) 2020

We address whether neural models for Natural Language Inference (NLI) can learn the compositional interactions between lexical entailment and negation, using four methods: the behavioral evaluation methods of (1) challenge test sets and (2) systematic generalization tasks, and the structural evaluation methods of (3) probes and (4) interventions.

2
30 Apr 2020

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

QData/TextAttack EMNLP 2020

TextAttack also includes data augmentation and adversarial training modules for using components of adversarial attacks to improve model accuracy and robustness.

2,717
29 Apr 2020

Discriminative Topic Mining via Category-Name Guided Text Embedding

yumeng5/CatE 20 Aug 2019

We propose a new task, discriminative topic mining, which leverages a set of user-provided category names to mine discriminative topics from text corpora.

50
20 Aug 2019

Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment

codogogo/glen ACL 2019

Lexical entailment (LE; also known as hyponymy-hypernymy or is-a relation) is a core asymmetric lexical relation that supports tasks like taxonomy induction and text generation.

1
01 Jul 2019

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference

mnschmit/SherLIiC ACL 2019

We present SherLIiC, a testbed for lexical inference in context (LIiC), consisting of 3985 manually annotated inference rule candidates (InfCands), accompanied by (i) ~960k unlabeled InfCands, and (ii) ~190k typed textual relations between Freebase entities extracted from the large entity-linked corpus ClueWeb09.

9
04 Jun 2019

Specialising Word Vectors for Lexical Entailment

nmrksic/lear NAACL 2018

We present LEAR (Lexical Entailment Attract-Repel), a novel post-processing method that transforms any input word vector space to emphasise the asymmetric relation of lexical entailment (LE), also known as the IS-A or hyponymy-hypernymy relation.

28
01 Jun 2018