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Lexical Entailment

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TextAttack: A Framework for Adversarial Attacks in Natural Language Processing

29 Apr 2020QData/TextAttack

TextAttack is a library for running adversarial attacks against natural language processing (NLP) models.

ADVERSARIAL TEXT LEXICAL ENTAILMENT MACHINE TRANSLATION TEXT CLASSIFICATION

A Consolidated Open Knowledge Representation for Multiple Texts

WS 2017 vered1986/OKR

We propose to move from Open Information Extraction (OIE) ahead to Open Knowledge Representation (OKR), aiming to represent information conveyed jointly in a set of texts in an open text-based manner.

LEXICAL ENTAILMENT OPEN INFORMATION EXTRACTION

Specialising Word Vectors for Lexical Entailment

NAACL 2018 nmrksic/lear

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.

DIALOGUE STATE TRACKING LEXICAL ENTAILMENT MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY TEXT GENERATION WORD EMBEDDINGS

Specialising Word Vectors for Lexical Entailment

17 Oct 2017nmrksic/lear

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.

LEXICAL ENTAILMENT SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Hierarchical Density Order Embeddings

ICLR 2018 benathi/density-order-emb

By representing words with probability densities rather than point vectors, probabilistic word embeddings can capture rich and interpretable semantic information and uncertainty.

LEXICAL ENTAILMENT WORD EMBEDDINGS

Representing Meaning with a Combination of Logical and Distributional Models

CL 2016 ibeltagy/rrr

In this paper, we focus on the three components of a practical system integrating logical and distributional models: 1) Parsing and task representation is the logic-based part where input problems are represented in probabilistic logic.

LEXICAL ENTAILMENT NATURAL LANGUAGE INFERENCE

Scoring Lexical Entailment with a Supervised Directional Similarity Network

ACL 2018 marekrei/sdsn

Experiments show excellent performance on scoring graded lexical entailment, raising the state-of-the-art on the HyperLex dataset by approximately 25%.

LEXICAL ENTAILMENT WORD EMBEDDINGS

Specializing Distributional Vectors of All Words for Lexical Entailment

WS 2019 ashkamath/POSTLE

Semantic specialization methods fine-tune distributional word vectors using lexical knowledge from external resources (e. g. WordNet) to accentuate a particular relation between words.

CROSS-LINGUAL TRANSFER LEXICAL ENTAILMENT SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Experiments with Three Approaches to Recognizing Lexical Entailment

31 Jan 2014context-mover/HypEval

Two general strategies for RLE have been proposed: One strategy is to manually construct an asymmetric similarity measure for context vectors (directional similarity) and another is to treat RLE as a problem of learning to recognize semantic relations using supervised machine learning techniques (relation classification).

LEXICAL ENTAILMENT RELATION CLASSIFICATION

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

ACL 2019 codogogo/glen

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.

LEXICAL ENTAILMENT TEXT GENERATION