Semanlink - Knowledge bases ; NLP tasks / problems AND Named Entity Recognition

NER using DSPy

Tags:

2024-04-12 About

IBM/zshot: Zero and Few shot named entity & relationships recognition

Tags:

2022-12-23 About

Zshot: Zero and Few shot named entity & relationships recognition

Tags:

2022-10-01 About

[1904.04458] Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition

Tags:

Knowledge Augmented
Language Model (KALM)

a language
model with access to information available in a
KB, no assumptions
about the availability of additional components
(such as Named Entity Taggers) or annotations

> While classes of
named entities (e.g., person or location) occur frequently,
each individual name (e.g, Atherton or
Zhouzhuang) may be observed infrequently even
in a very large corpus of text. As a result language
models learn to represent accurately only the most
popular named entities

> knowing that Alice is a name
used to refer to a person should give ample information
about the context in which the word may
occur (e.g., Bob visited Alice).

> ---

> extends a traditional **RNN LM**

> we enhance a traditional LM with a
gating mechanism that controls whether a particular
word is modeled as a general word or as a reference
to an entity
>
> We train the model end-to-end
with only the traditional predictive language modeling
perplexity objective
>
> KALM is trained end-to-end using
a predictive objective on large corpus of text.

> To the best of our knowledge, KALM is the first
unsupervised neural NER approach.

> KALM extends a traditional, RNN-based neural
LM.

2022-08-31 About

DataBorg - Knowledge management simplified

Tags:

2022-05-14 About

Studio Ousia sur Twitter : "Now using LUKE is easier than ever!" / Twitter

Tags:

2022-03-15 About

[2002.11402] Detecting Potential Topics In News Using BERT, CRF and Wikipedia

Tags:

2020-02-27 About

[1601.01343] Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

Tags:

2019-01-27 About