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Named Entity Recognition

149 papers with code ยท Natural Language Processing

Named entity recognition (NER) is the task of tagging entities in text with their corresponding type. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Example:

Mark Watney visited Mars
B-PER I-PER O B-LOC

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Latest papers without code

Towards Open-Domain Named Entity Recognition via Neural Correction Models

13 Sep 2019

Named Entity Recognition (NER) plays an important role in a wide range of natural language processing tasks, such as relation extraction, question answering, etc.

NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION

Dependency-Aware Named Entity Recognition with Relative and Global Attentions

11 Sep 2019

On the other hand, the global attention spots the most relevant words in the sequence.

NAMED ENTITY RECOGNITION

From English to Code-Switching: Transfer Learning with Strong Morphological Clues

11 Sep 2019

In the first part of this paper, we use transfer learning from English to English-paired code-switched languages for the language identification (LID) task by applying two simple yet effective techniques: 1) a hierarchical attention mechanism that enhances morphological clues from character n-grams, and 2) a secondary loss that forces the model to learn n-gram representations that are particular to the languages involved.

LANGUAGE IDENTIFICATION NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING TRANSFER LEARNING

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis

9 Sep 2019

While recent work has shown promising results on cross-lingual transfer from high-resource languages to low-resource languages, it is unclear what knowledge is transferred.

CROSS-LINGUAL TRANSFER NAMED ENTITY RECOGNITION TRANSFER LEARNING

Entity, Relation, and Event Extraction with Contextualized Span Representations

8 Sep 2019

We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.

NAMED ENTITY RECOGNITION RELATION EXTRACTION

Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER

8 Sep 2019

We evaluate two meth ods for precomputing such embeddings, BERT and Flair, on four Czech text processing tasks: part-of-speech (POS) tagging, lemmatization, dependency pars ing and named entity recognition (NER).

DEPENDENCY PARSING LEMMATIZATION NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING

#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment

6 Sep 2019

Inspired by the recent social movement of #MeToo, we are building a chatbot to assist survivors of sexual harassment cases (designed for the city of Maastricht but can easily be extended).

CHATBOT NAMED ENTITY RECOGNITION SLOT FILLING TEMPORAL INFORMATION EXTRACTION

Modeling Named Entity Embedding Distribution into Hypersphere

3 Sep 2019

This work models named entity distribution from a way of visualizing topological structure of embedding space, so that we make an assumption that most, if not all, named entities (NEs) for a language tend to aggregate together to be accommodated by a specific hypersphere in embedding space.

NAMED ENTITY RECOGNITION

Introducing RONEC -- the Romanian Named Entity Corpus

3 Sep 2019

We present RONEC - the Named Entity Corpus for the Romanian language.

NAMED ENTITY RECOGNITION