Chunking

30 papers with code ยท Natural Language Processing

Chunking, also known as shallow parsing, identifies continuous spans of tokens that form syntactic units such as noun phrases or verb phrases.

Example:

Vinken , 61 years old
B-NLP I-NP I-NP I-NP I-NP

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Latest papers without code

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

16 May 2020

In this paper, we study machine reading comprehension (MRC) on long texts, where a model takes as inputs a lengthy document and a question and then extracts a text span from the document as an answer.

CHUNKING MACHINE READING COMPREHENSION

New Ideas for Brain Modelling 6

11 May 2020

The top-level cognitive layer has been re-designed to model the Cognitive Process Language (CPL) of an earlier paper, by refactoring it into a network structure with a light scheduler.

CHUNKING

The Structured Weighted Violations MIRA

9 May 2020

We present the Structured Weighted Violation MIRA (SWVM), a new structured prediction algorithm that is based on an hybridization between MIRA (Crammer and Singer, 2003) and the structured weighted violations perceptron (SWVP) (Dror and Reichart, 2016).

CHUNKING NAMED ENTITY RECOGNITION STRUCTURED PREDICTION

Learning Architectures from an Extended Search Space for Language Modeling

6 May 2020

Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell.

CHUNKING LANGUAGE MODELLING NAMED ENTITY RECOGNITION NEURAL ARCHITECTURE SEARCH

Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing

29 Apr 2020

Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the unavailability of expert linguists who are native speakers of these languages and also due to the time and resources required.

CHUNKING

CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network

28 Apr 2020

Specifically, our framework divides proximal information units into chunks, and performs memory access at certain time steps, whereby the number of memory operations can be greatly reduced.

CHUNKING RECOMMENDATION SYSTEMS

Scalable Multilingual Frontend for TTS

10 Apr 2020

We take a Machine Translation (MT) inspired approach to constructing the frontend, and model both text normalization and pronunciation on a sentence level by building and using sequence-to-sequence (S2S) models.

CHUNKING MACHINE TRANSLATION

Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments

23 Mar 2020

Two reasons make it challenging to apply existing sequence-to-sequence models to this mapping: 1) it is hard to prepare a large-scale dataset for any kind of robots and their environment, and 2) there is a gap between the number of samples obtained from robot action observations and generated word sequences of captions.

CHUNKING

Improving cross-lingual model transfer by chunking

27 Feb 2020

We present a shallow parser guided cross-lingual model transfer approach in order to address the syntactic differences between source and target languages more effectively.

CHUNKING

A Data Efficient End-To-End Spoken Language Understanding Architecture

14 Feb 2020

For that, in many cases, models are combined with an external language model to enhance their performance.

CHUNKING LANGUAGE MODELLING SEMANTIC PARSING SPOKEN LANGUAGE UNDERSTANDING