Entity Typing

16 papers with code ยท Natural Language Processing

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MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing

2 Apr 2020

Named entity typing (NET) is a classification task of assigning an entity mention in the context with given semantic types.

ENTITY TYPING

E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings

23 Mar 2020

They are therefore sensitive to window size selection and are unable to incorporate the context of the entire document.

ENTITY TYPING NAMED ENTITY RECOGNITION

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

5 Feb 2020

We study the problem of injecting knowledge into large pre-trained models like BERT and RoBERTa.

DEPENDENCY PARSING ENTITY TYPING QUESTION ANSWERING RELATION CLASSIFICATION

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

29 Dec 2019

A lot of diverse reading comprehension datasets have recently been introduced to study various phenomena in natural language, ranging from simple paraphrase matching and entity typing to entity tracking and understanding the implications of the context.

ENTITY TYPING MACHINE READING COMPREHENSION REPRESENTATION LEARNING

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model

20 Dec 2019

Models trained with our new objective yield significant improvements on the fact completion task.

ENTITY TYPING LANGUAGE MODELLING QUESTION ANSWERING

Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

10 Nov 2019

LEOPARD is trained with the state-of-the-art transformer architecture and shows better generalization to tasks not seen at all during training, with as few as 4 examples per label.

ENTITY TYPING FEW-SHOT LEARNING NATURAL LANGUAGE INFERENCE RELATION EXTRACTION SENTIMENT ANALYSIS TEXT CATEGORIZATION

Comprehensive Multi-Dataset Evaluation of Reading Comprehension

WS 2019

A lot of diverse reading comprehension datasets have recently been introduced to study various phenomena in natural language, ranging from simple paraphrase matching and entity typing to entity tracking and understanding the implications of the context.

ENTITY TYPING READING COMPREHENSION REPRESENTATION LEARNING