|
--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- found |
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language: |
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- nb |
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- nn |
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- 'no' |
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license: |
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- cc-by-nc-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- original |
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task_categories: |
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- token-classification |
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task_ids: |
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- named-entity-recognition |
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paperswithcode_id: norec |
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pretty_name: NoReC |
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dataset_info: |
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features: |
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- name: idx |
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dtype: string |
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- name: text |
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dtype: string |
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- name: tokens |
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sequence: string |
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- name: lemmas |
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sequence: string |
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- name: pos_tags |
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sequence: |
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class_label: |
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names: |
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'0': ADJ |
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'1': ADP |
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'2': ADV |
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'3': AUX |
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'4': CCONJ |
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'5': DET |
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'6': INTJ |
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'7': NOUN |
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'8': NUM |
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'9': PART |
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'10': PRON |
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'11': PROPN |
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'12': PUNCT |
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'13': SCONJ |
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'14': SYM |
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'15': VERB |
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'16': X |
|
- name: xpos_tags |
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sequence: string |
|
- name: feats |
|
sequence: string |
|
- name: head |
|
sequence: string |
|
- name: deprel |
|
sequence: string |
|
- name: deps |
|
sequence: string |
|
- name: misc |
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sequence: string |
|
splits: |
|
- name: train |
|
num_bytes: 1254757266 |
|
num_examples: 680792 |
|
- name: validation |
|
num_bytes: 189534106 |
|
num_examples: 101106 |
|
- name: test |
|
num_bytes: 193801708 |
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num_examples: 101594 |
|
download_size: 212492611 |
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dataset_size: 1638093080 |
|
--- |
|
|
|
# Dataset Card for NoReC |
|
|
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Repository:** https://github.com/ltgoslo/norec |
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- **Paper:** http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf |
|
- **Leaderboard:** [More Information Needed] |
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- **Point of Contact:** [More Information Needed] |
|
|
|
### Dataset Summary |
|
|
|
This dataset contains Norwegian Review Corpus (NoReC), created for the purpose of training and evaluating models for document-level sentiment analysis. More than 43,000 full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
The sentences in the dataset are in Norwegian (nb, nn, no). |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
A sample from training set is provided below: |
|
|
|
``` |
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{'deprel': ['det', |
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'amod', |
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'cc', |
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'conj', |
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'nsubj', |
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'case', |
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'nmod', |
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'cop', |
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'case', |
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'case', |
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'root', |
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'flat:name', |
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'flat:name', |
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'punct'], |
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'deps': ['None', |
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'None', |
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'None', |
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'None', |
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'None', |
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'None', |
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'None', |
|
'None', |
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'None', |
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'None', |
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'None', |
|
'None', |
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'None', |
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'None'], |
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'feats': ["{'Gender': 'Masc', 'Number': 'Sing', 'PronType': 'Dem'}", |
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"{'Definite': 'Def', 'Degree': 'Pos', 'Number': 'Sing'}", |
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'None', |
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"{'Definite': 'Def', 'Degree': 'Pos', 'Number': 'Sing'}", |
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"{'Definite': 'Def', 'Gender': 'Masc', 'Number': 'Sing'}", |
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'None', |
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'None', |
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"{'Mood': 'Ind', 'Tense': 'Pres', 'VerbForm': 'Fin'}", |
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'None', |
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'None', |
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'None', |
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'None', |
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'None', |
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'None'], |
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'head': ['5', |
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'5', |
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'4', |
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'2', |
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'11', |
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'7', |
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'5', |
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'11', |
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'11', |
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'11', |
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'0', |
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'11', |
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'11', |
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'11'], |
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'idx': '000000-02-01', |
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'lemmas': ['den', |
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'andre', |
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'og', |
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'sist', |
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'sesong', |
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'av', |
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'Rome', |
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'være', |
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'ute', |
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'på', |
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'DVD', |
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'i', |
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'Norge', |
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'$.'], |
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'misc': ['None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
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'None', |
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"{'SpaceAfter': 'No'}", |
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'None'], |
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'pos_tags': [5, 0, 4, 0, 7, 1, 11, 3, 1, 1, 11, 1, 11, 12], |
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'text': 'Den andre og siste sesongen av Rome er ute på DVD i Norge.', |
|
'tokens': ['Den', |
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'andre', |
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'og', |
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'siste', |
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'sesongen', |
|
'av', |
|
'Rome', |
|
'er', |
|
'ute', |
|
'på', |
|
'DVD', |
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'i', |
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'Norge', |
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'.'], |
|
'xpos_tags': ['None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None', |
|
'None']} |
|
|
|
``` |
|
|
|
|
|
### Data Fields |
|
|
|
The data instances have the following fields: |
|
|
|
- deprel: [More Information Needed] |
|
- deps: [More Information Needed] |
|
- feats: [More Information Needed] |
|
- head: [More Information Needed] |
|
- idx: index |
|
- lemmas: lemmas of all tokens |
|
- misc: [More Information Needed] |
|
- pos_tags: part of speech tags |
|
- text: text string |
|
- tokens: tokens |
|
- xpos_tags: [More Information Needed] |
|
|
|
The part of speech taggs correspond to these labels: "ADJ" (0), "ADP" (1), "ADV" (2), "AUX" (3), "CCONJ" (4), "DET" (5), "INTJ" (6), "NOUN" (7), "NUM" (8), "PART" (9), "PRON" (10), "PROPN" (11), "PUNCT" (12), "SCONJ" (13), "SYM" (14), "VERB" (15), "X" (16), |
|
|
|
### Data Splits |
|
|
|
The training, validation, and test set contain `680792`, `101106`, and `101594` sentences respectively. |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
[More Information Needed] |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed] |
|
|
|
### Annotations |
|
|
|
[More Information Needed] |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed] |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed] |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed] |
|
|
|
### Citation Information |
|
|
|
``` |
|
@InProceedings{VelOvrBer18, |
|
author = {Erik Velldal and Lilja {\O}vrelid and |
|
Eivind Alexander Bergem and Cathrine Stadsnes and |
|
Samia Touileb and Fredrik J{\o}rgensen}, |
|
title = {{NoReC}: The {N}orwegian {R}eview {C}orpus}, |
|
booktitle = {Proceedings of the 11th edition of the |
|
Language Resources and Evaluation Conference}, |
|
year = {2018}, |
|
address = {Miyazaki, Japan}, |
|
pages = {4186--4191} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset. |