Entity Typing

15 papers with code · Natural Language Processing

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Greatest papers with code

ERNIE: Enhanced Language Representation with Informative Entities

ACL 2019 thunlp/ERNIE

Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the performance of various NLP tasks.

ENTITY TYPING KNOWLEDGE GRAPHS NATURAL LANGUAGE INFERENCE SENTIMENT ANALYSIS

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

LREC 2018 bheinzerling/bpemb

We present BPEmb, a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).

ENTITY TYPING TOKENIZATION WORD EMBEDDINGS

Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

23 Jan 2019roomylee/entity-aware-relation-classification

Our model not only utilizes entities and their latent types as features effectively but also is more interpretable by visualizing attention mechanisms applied to our model and results of LET.

ENTITY TYPING RELATION CLASSIFICATION

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

NAACL 2019 xwhan/Extremely-Fine-Grained-Entity-Typing

Existing entity typing systems usually exploit the type hierarchy provided by knowledge base (KB) schema to model label correlations and thus improve the overall performance.

ENTITY TYPING

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

17 Feb 2016shanzhenren/PLE

Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions.

ENTITY TYPING SEMANTIC TEXTUAL SIMILARITY

Zero-Shot Open Entity Typing as Type-Compatible Grounding

EMNLP 2018 CogComp/zoe

We evaluate our system on a broad range of datasets, including standard fine-grained and coarse-grained entity typing datasets, and also a dataset in the biological domain.

ENTITY TYPING

Fine-Grained Entity Typing in Hyperbolic Space

WS 2019 nlpAThits/figet-hyperbolic-space

How can we represent hierarchical information present in large type inventories for entity typing?

ENTITY TYPING

Representation Learning of Entities and Documents from Knowledge Base Descriptions

COLING 2018 studio-ousia/textent

In this paper, we describe TextEnt, a neural network model that learns distributed representations of entities and documents directly from a knowledge base (KB).

ENTITY TYPING REPRESENTATION LEARNING TEXT CLASSIFICATION